manohar parakh 's Entries

48 blogs
  • 16 Jul 2018
    Every infrastructure needs monitoring, even if a part or your entire infrastructure is in the Cloud. These days almost all businesses are using cloud, according to a survey about 93 per cent of enterprises are hosted on the cloud and are utilizing cloud services efficiently. And so many more have already planned to invest more in cloud. It has also been predicted that business owner are expected to spend about 26 per cent on cloud based services by the end of 2018, this beats the overall IT spending. Cloud based services offer great benefits to all the enterprises such as Flexibility and Scalability. But there is an increased need of monitoring performance with the rise in cloud usage. That’s how cloud monitoring comes in the frame. Can you as an entrepreneur accept delayed response time of a web application, downtime or even data loss? The answer to this is definitely ‘No’. In technical terms monitoring of cloud based resources lets you observe the response time, availability of resources, consumption of resources, you can check performance, and also get to know about any possible issue before it occurs.What is Cloud Monitoring? Technically, Cloud Monitoring is a process of managing and handling data hosted on cloud, VM’s and servers, storage devices such as databases, applications, and the entire IT infra enabled by cloud. Comprehensive monitoring is capable of determining and supervising performance of the cloud infrastructure. Other benefits of monitoring are easy analysis of cloud server, web application or other resource that is powered by cloud technology. ESDS’ eNlight Cloud Platform offers you a complete picture of complete cloud infra including all nodes, all the transactions that took place, and all the active users in just one pane of glass. So whether you host an app in the public cloud or in a virtualized DC, eNlight got you covered. Here’s how:•With eNlight Cloud Platform you can now get complete visibility across all cloud and on-premise tiers.•It enables you to identify problems with 3rd party services, hypervisor dynamics, disconnected hosts, or no/limited network availability.Monitor private, public and hybrid cloud environments with eNlight Cloud Platform:The virtualized environment in both public datacenters and private datacenters can be monitored by the Platform. Its monitoring tools offer complete transparency in all enterprise level cloud technologies such as VMWare, KVM, Xen, etc. It enables: •Performance tracking of enterprise application’s virtual components.•Gain understanding of the resources utilized of the virtualized environment. •Know how your apps are installed across different cloud instances.Types of monitoring supported by the platform•Server Health Monitoring •VM Performance Monitoring •Network & Application MonitoringLet’s understand them one by one.Server Health Monitoring:Basically, Server Health Monitoring is a mechanism that observes reaction of a VM/server when load is placed over it. When server health monitoring is combined with uptime monitoring produces useful perspective that can help us avoid downtimes by pre-planning failure capacity, rather than merely being able to react to failure events. Some really common situations that lead to server break down include too much CPU utilization, insufficient RAM availability and excessive Disk IO operations. eNlight enables you to monitor all the above metrics, alerts can be sent when health metrics are exceeded as compared to the thresholds pre-defined. With the software you can now identify server performance and availability issues.VM Performance Monitoring:It provides wide range of VM Performance Monitoring parameters which can provide functionalities as well as address all the challenges. It includes Compute, Network and Storage monitoring.ComputeIt supports Virtual Machine resource scaling in a hybrid fashion. It means a vCPU of a Virtual Machine is reconfigured between max & min vCPU range when load is increased/ decreased. Tracking changes in Virtual Machine's vCPU count dynamically is important. With eNlight you can visualize all the changes taking place and control them as well with respect to the vCPU.StorageThe software provides you the freedom to manage your storage devices’ R/W speed. Using this data a graph can be plotted based on the total volume of data being read or written. The Cloud also provides a feature that enables you to fetch data of over a period of time NetworkThe cloud platform provides certain Network Monitoring paradigms such as Ping, Network, Bandwidth, and network incoming and outgoing traffic monitoring. Network monitoring offers a facility of graph plotting for users requested date and time which helps them understand network data flow.Network & Application Monitoring:It has numerous cloud-based methods, these can help you keep you keep track of all the elements of your network right from discovering of topology, event collection followed by reporting, to predictive analysis and monitoring the SLA. Network monitoring enabled by eNlight cloud has much more benefits such as easy deployment, cost saving and scalability as compared to the in-house tools. The platform is really easy to set-up, use, and customize at an affordable cost. It will help in determining your server’s health and start monitoring it in no time.
    21 Posted by manohar parakh
  • Every infrastructure needs monitoring, even if a part or your entire infrastructure is in the Cloud. These days almost all businesses are using cloud, according to a survey about 93 per cent of enterprises are hosted on the cloud and are utilizing cloud services efficiently. And so many more have already planned to invest more in cloud. It has also been predicted that business owner are expected to spend about 26 per cent on cloud based services by the end of 2018, this beats the overall IT spending. Cloud based services offer great benefits to all the enterprises such as Flexibility and Scalability. But there is an increased need of monitoring performance with the rise in cloud usage. That’s how cloud monitoring comes in the frame. Can you as an entrepreneur accept delayed response time of a web application, downtime or even data loss? The answer to this is definitely ‘No’. In technical terms monitoring of cloud based resources lets you observe the response time, availability of resources, consumption of resources, you can check performance, and also get to know about any possible issue before it occurs.What is Cloud Monitoring? Technically, Cloud Monitoring is a process of managing and handling data hosted on cloud, VM’s and servers, storage devices such as databases, applications, and the entire IT infra enabled by cloud. Comprehensive monitoring is capable of determining and supervising performance of the cloud infrastructure. Other benefits of monitoring are easy analysis of cloud server, web application or other resource that is powered by cloud technology. ESDS’ eNlight Cloud Platform offers you a complete picture of complete cloud infra including all nodes, all the transactions that took place, and all the active users in just one pane of glass. So whether you host an app in the public cloud or in a virtualized DC, eNlight got you covered. Here’s how:•With eNlight Cloud Platform you can now get complete visibility across all cloud and on-premise tiers.•It enables you to identify problems with 3rd party services, hypervisor dynamics, disconnected hosts, or no/limited network availability.Monitor private, public and hybrid cloud environments with eNlight Cloud Platform:The virtualized environment in both public datacenters and private datacenters can be monitored by the Platform. Its monitoring tools offer complete transparency in all enterprise level cloud technologies such as VMWare, KVM, Xen, etc. It enables: •Performance tracking of enterprise application’s virtual components.•Gain understanding of the resources utilized of the virtualized environment. •Know how your apps are installed across different cloud instances.Types of monitoring supported by the platform•Server Health Monitoring •VM Performance Monitoring •Network & Application MonitoringLet’s understand them one by one.Server Health Monitoring:Basically, Server Health Monitoring is a mechanism that observes reaction of a VM/server when load is placed over it. When server health monitoring is combined with uptime monitoring produces useful perspective that can help us avoid downtimes by pre-planning failure capacity, rather than merely being able to react to failure events. Some really common situations that lead to server break down include too much CPU utilization, insufficient RAM availability and excessive Disk IO operations. eNlight enables you to monitor all the above metrics, alerts can be sent when health metrics are exceeded as compared to the thresholds pre-defined. With the software you can now identify server performance and availability issues.VM Performance Monitoring:It provides wide range of VM Performance Monitoring parameters which can provide functionalities as well as address all the challenges. It includes Compute, Network and Storage monitoring.ComputeIt supports Virtual Machine resource scaling in a hybrid fashion. It means a vCPU of a Virtual Machine is reconfigured between max & min vCPU range when load is increased/ decreased. Tracking changes in Virtual Machine's vCPU count dynamically is important. With eNlight you can visualize all the changes taking place and control them as well with respect to the vCPU.StorageThe software provides you the freedom to manage your storage devices’ R/W speed. Using this data a graph can be plotted based on the total volume of data being read or written. The Cloud also provides a feature that enables you to fetch data of over a period of time NetworkThe cloud platform provides certain Network Monitoring paradigms such as Ping, Network, Bandwidth, and network incoming and outgoing traffic monitoring. Network monitoring offers a facility of graph plotting for users requested date and time which helps them understand network data flow.Network & Application Monitoring:It has numerous cloud-based methods, these can help you keep you keep track of all the elements of your network right from discovering of topology, event collection followed by reporting, to predictive analysis and monitoring the SLA. Network monitoring enabled by eNlight cloud has much more benefits such as easy deployment, cost saving and scalability as compared to the in-house tools. The platform is really easy to set-up, use, and customize at an affordable cost. It will help in determining your server’s health and start monitoring it in no time.
    Jul 16, 2018 21
  • 16 Jul 2018
    Every infrastructure needs monitoring, even if a part or your entire infrastructure is in the Cloud. These days almost all businesses are using cloud, according to a survey about 93 per cent of enterprises are hosted on the cloud and are utilizing cloud services efficiently. And so many more have already planned to invest more in cloud. It has also been predicted that business owner are expected to spend about 26 per cent on cloud based services by the end of 2018, this beats the overall IT spending. Cloud based services offer great benefits to all the enterprises such as Flexibility and Scalability. But there is an increased need of monitoring performance with the rise in cloud usage. That’s how cloud monitoring comes in the frame. Can you as an entrepreneur accept delayed response time of a web application, downtime or even data loss? The answer to this is definitely ‘No’. In technical terms monitoring of cloud based resources lets you observe the response time, availability of resources, consumption of resources, you can check performance, and also get to know about any possible issue before it occurs.What is Cloud Monitoring? Technically, Cloud Monitoring is a process of managing and handling data hosted on cloud, VM’s and servers, storage devices such as databases, applications, and the entire IT infra enabled by cloud. Comprehensive monitoring is capable of determining and supervising performance of the cloud infrastructure. Other benefits of monitoring are easy analysis of cloud server, web application or other resource that is powered by cloud technology. ESDS’ eNlight Cloud Platform offers you a complete picture of complete cloud infra including all nodes, all the transactions that took place, and all the active users in just one pane of glass. So whether you host an app in the public cloud or in a virtualized DC, eNlight got you covered. Here’s how:•With eNlight Cloud Platform you can now get complete visibility across all cloud and on-premise tiers.•It enables you to identify problems with 3rd party services, hypervisor dynamics, disconnected hosts, or no/limited network availability.Monitor private, public and hybrid cloud environments with eNlight Cloud Platform:The virtualized environment in both public datacenters and private datacenters can be monitored by the Platform. Its monitoring tools offer complete transparency in all enterprise level cloud technologies such as VMWare, KVM, Xen, etc. It enables: •Performance tracking of enterprise application’s virtual components.•Gain understanding of the resources utilized of the virtualized environment. •Know how your apps are installed across different cloud instances.Types of monitoring supported by the platform•Server Health Monitoring •VM Performance Monitoring •Network & Application MonitoringLet’s understand them one by one.Server Health Monitoring:Basically, Server Health Monitoring is a mechanism that observes reaction of a VM/server when load is placed over it. When server health monitoring is combined with uptime monitoring produces useful perspective that can help us avoid downtimes by pre-planning failure capacity, rather than merely being able to react to failure events. Some really common situations that lead to server break down include too much CPU utilization, insufficient RAM availability and excessive Disk IO operations. eNlight enables you to monitor all the above metrics, alerts can be sent when health metrics are exceeded as compared to the thresholds pre-defined. With the software you can now identify server performance and availability issues.VM Performance Monitoring:It provides wide range of VM Performance Monitoring parameters which can provide functionalities as well as address all the challenges. It includes Compute, Network and Storage monitoring.ComputeIt supports Virtual Machine resource scaling in a hybrid fashion. It means a vCPU of a Virtual Machine is reconfigured between max & min vCPU range when load is increased/ decreased. Tracking changes in Virtual Machine's vCPU count dynamically is important. With eNlight you can visualize all the changes taking place and control them as well with respect to the vCPU.StorageThe software provides you the freedom to manage your storage devices’ R/W speed. Using this data a graph can be plotted based on the total volume of data being read or written. The Cloud also provides a feature that enables you to fetch data of over a period of time NetworkThe cloud platform provides certain Network Monitoring paradigms such as Ping, Network, Bandwidth, and network incoming and outgoing traffic monitoring. Network monitoring offers a facility of graph plotting for users requested date and time which helps them understand network data flow.Network & Application Monitoring:It has numerous cloud-based methods, these can help you keep you keep track of all the elements of your network right from discovering of topology, event collection followed by reporting, to predictive analysis and monitoring the SLA. Network monitoring enabled by eNlight cloud has much more benefits such as easy deployment, cost saving and scalability as compared to the in-house tools. The platform is really easy to set-up, use, and customize at an affordable cost. It will help in determining your server’s health and start monitoring it in no time.
    18 Posted by manohar parakh
  • Every infrastructure needs monitoring, even if a part or your entire infrastructure is in the Cloud. These days almost all businesses are using cloud, according to a survey about 93 per cent of enterprises are hosted on the cloud and are utilizing cloud services efficiently. And so many more have already planned to invest more in cloud. It has also been predicted that business owner are expected to spend about 26 per cent on cloud based services by the end of 2018, this beats the overall IT spending. Cloud based services offer great benefits to all the enterprises such as Flexibility and Scalability. But there is an increased need of monitoring performance with the rise in cloud usage. That’s how cloud monitoring comes in the frame. Can you as an entrepreneur accept delayed response time of a web application, downtime or even data loss? The answer to this is definitely ‘No’. In technical terms monitoring of cloud based resources lets you observe the response time, availability of resources, consumption of resources, you can check performance, and also get to know about any possible issue before it occurs.What is Cloud Monitoring? Technically, Cloud Monitoring is a process of managing and handling data hosted on cloud, VM’s and servers, storage devices such as databases, applications, and the entire IT infra enabled by cloud. Comprehensive monitoring is capable of determining and supervising performance of the cloud infrastructure. Other benefits of monitoring are easy analysis of cloud server, web application or other resource that is powered by cloud technology. ESDS’ eNlight Cloud Platform offers you a complete picture of complete cloud infra including all nodes, all the transactions that took place, and all the active users in just one pane of glass. So whether you host an app in the public cloud or in a virtualized DC, eNlight got you covered. Here’s how:•With eNlight Cloud Platform you can now get complete visibility across all cloud and on-premise tiers.•It enables you to identify problems with 3rd party services, hypervisor dynamics, disconnected hosts, or no/limited network availability.Monitor private, public and hybrid cloud environments with eNlight Cloud Platform:The virtualized environment in both public datacenters and private datacenters can be monitored by the Platform. Its monitoring tools offer complete transparency in all enterprise level cloud technologies such as VMWare, KVM, Xen, etc. It enables: •Performance tracking of enterprise application’s virtual components.•Gain understanding of the resources utilized of the virtualized environment. •Know how your apps are installed across different cloud instances.Types of monitoring supported by the platform•Server Health Monitoring •VM Performance Monitoring •Network & Application MonitoringLet’s understand them one by one.Server Health Monitoring:Basically, Server Health Monitoring is a mechanism that observes reaction of a VM/server when load is placed over it. When server health monitoring is combined with uptime monitoring produces useful perspective that can help us avoid downtimes by pre-planning failure capacity, rather than merely being able to react to failure events. Some really common situations that lead to server break down include too much CPU utilization, insufficient RAM availability and excessive Disk IO operations. eNlight enables you to monitor all the above metrics, alerts can be sent when health metrics are exceeded as compared to the thresholds pre-defined. With the software you can now identify server performance and availability issues.VM Performance Monitoring:It provides wide range of VM Performance Monitoring parameters which can provide functionalities as well as address all the challenges. It includes Compute, Network and Storage monitoring.ComputeIt supports Virtual Machine resource scaling in a hybrid fashion. It means a vCPU of a Virtual Machine is reconfigured between max & min vCPU range when load is increased/ decreased. Tracking changes in Virtual Machine's vCPU count dynamically is important. With eNlight you can visualize all the changes taking place and control them as well with respect to the vCPU.StorageThe software provides you the freedom to manage your storage devices’ R/W speed. Using this data a graph can be plotted based on the total volume of data being read or written. The Cloud also provides a feature that enables you to fetch data of over a period of time NetworkThe cloud platform provides certain Network Monitoring paradigms such as Ping, Network, Bandwidth, and network incoming and outgoing traffic monitoring. Network monitoring offers a facility of graph plotting for users requested date and time which helps them understand network data flow.Network & Application Monitoring:It has numerous cloud-based methods, these can help you keep you keep track of all the elements of your network right from discovering of topology, event collection followed by reporting, to predictive analysis and monitoring the SLA. Network monitoring enabled by eNlight cloud has much more benefits such as easy deployment, cost saving and scalability as compared to the in-house tools. The platform is really easy to set-up, use, and customize at an affordable cost. It will help in determining your server’s health and start monitoring it in no time.
    Jul 16, 2018 18
  • 16 Jul 2018
    The adoption of cloud computing is increasing rapidly due to its impact and improvements in business processes due to its advantages. A lot of benefits can be reaped by implementing cloud computing according to one’s business needs. Cloud computing has set a certain standard for organizations to run their business critical applications on its platform. Now-a-days organizations can largely benefit from a cost-effective cloud solution which instantly provides on-demand services to clients at an affordable price. Aligning resources with the IT budget helps in minimizing the redundant costs which are associated with cloud based services. IT heads do not consider the cloud billing system and thus obtain resources which they are probably not going to use. Cloud service provider allocates the resources demanded by a customer but even after the fact only half of the resources were used, the customer still needs to pay full amount due to the CSP’s billing norms which indirectly results in customer’s loss of money. Capacity planning is very important when you wish to use cloud services and distribute it among various departments in your organization. Cloud promises a very cost efficient way to do business and it is the only reason why more than half of the businesses have started switching to cloud platform because it offers a great way to get maximum resources where they only have to pay for the resources consumed which is a better option than traditional system which needs upfront costs. Now-a-days cloud services are billed based on their usage and there is various consumption based business models in the market who only charge you for the amount of resources you have consumed. Metering of your used resources and costs affiliated with it give a very clear picture to the organization of current resource usage and spending scenario that helps them to take more informed decisions and this is also a good practice to measure your usage of virtual resources on the cloud platform. Many-a -times there are resources which are unused like RAM, CPU and disk space for which the IT manager needs to pay the full amount even if only half of the allocated resources are used. The concept of Chargeback and Show back can help a business to engage in IT spending and value through responsible accounting of resources and the departments which consume these resources. CIOs want to analyze the resources which are allotted to each department and study their consumption through analysis because they do not want to pay additional costs for the resources which they are not going to consume. Every department or individual who are allocated their own set of resources needs to efficiently use this IT service and should be responsible for the significant expenses. Chargeback system also helps organizations to achieve greater profitability by creating transparency in business decisions Multi-Billing in eNlight Cloud Platform ESDS’ eNlight Cloud Platform comes with Cloud Metering and Billing for optimum utilization of resources and paying for only those services which you have consumed. A true leader in Cloud orchestration software, eNlight Cloud Platform provides easy IT infrastructure management, enables customers to seamlessly deploy applications on virtualized resources, offers Multi-Tenancy and Multi-Billing models. eNlight Cloud Platform’s Multi-Billing Module is consolidated with Multi-Tenant Architecture enables businesses to gather information of monetary resources consumption on business, department or individual level. eNlight Cloud Platform smartly maps per unit utilization of resources like real-time processor, memory, disk space and bandwidth and then provides statistics regarding the usage bill for the same. eNlight Cloud Platform provides multiple billing models, which suite almost all business models, they are 1. Dynamic Pay-Per-Consume 2. Fixed Pay-Per-Use 3. Service Based Billing Dynamic Pay-Per-Consume Billing When you consume certain resources & are charged for the resources which are allocated to you then it is known as Dynamic Pay-Per-Consume Billing. eNlight Cloud Platform provides Chargeback mechanism through its Auto-Scaling technology which focuses on the resources consumed rather than the allocated resources. eNlight Cloud Platform lets you deploy virtual machines which can scale dynamically as per the users’ activity. A user can easily allocate and deallocate compute resources whenever needed which directly leads to efficient use of resources. Dynamic virtual machines use resources between the resource capping which is set. Minimum and Maximum resource capping is set for virtual machines to scale between these limits. Through dynamic resource metering, a bill is generated for the consumption of resources which were used based upon the per unit rates according to eNlight Cloud Platform’s Chargeback mechanism. A user can achieve maximum benefit through the auto-scalable virtual machines which will only charge them for the resources which are consumed. Fixed Pay-Per-Use Billing When you charge a user based on the consumption of resources then it is pay-per-consume but when there are fixed units (resource) which are allocated to a user then it is essentially a direct billing model which is known as Fixed Pay-Per-Use Billing. This is the kind of billing model which is implemented by the entire cloud market. On eNlight Cloud Platform, static virtual machine is provided with fixed resources which is equals to the resources consumed and the billing is fixed. This leads to fixed resource utilization, where the resources can be charged on fixed flat rates. Services Based Billing There are multiple services offered by eNlight Cloud Platform and those tenants who wish to deploy a certain service are charged based upon service deployment which is known as Service Based Billing. A particular service can be provided to a customer along with the resources related to it like additional storage services, backup, security services etc. This package can be a service which is offered to a customer and can be charged individually based on single service utilization. This billing model is very different from the previous 2 billing models because here the rates are flat and fixed and will not change according to the consumption or allocation of resources to a customer. The flat rate chargeback model allows group application deployments and resources under one single financial plan for simple billing. Conclusion Cloud offers various services and there are multiple options to choose from when it comes to deploying a service according to your needs. The multiple billing models help a customer to choose from various suite of options which is fit for one’s business requirement. The chargeback model offered by eNlight Cloud Platform suits almost all the business requirements. Proper resource utilization models like Pay-Per-Use and Pay-Per-Billing allows a customer to meter their resource consumption and not pay any additional charges. When a customer has fixed resource utilization per month then there isn’t a best option than eNlight Cloud Platform’s Pay-Per-Billing model. All these billing models put together along with Multi-Tenant Architecture; CXOs can experience a whole new level of IT resource management through a single cloud management portal.
    17 Posted by manohar parakh
  • The adoption of cloud computing is increasing rapidly due to its impact and improvements in business processes due to its advantages. A lot of benefits can be reaped by implementing cloud computing according to one’s business needs. Cloud computing has set a certain standard for organizations to run their business critical applications on its platform. Now-a-days organizations can largely benefit from a cost-effective cloud solution which instantly provides on-demand services to clients at an affordable price. Aligning resources with the IT budget helps in minimizing the redundant costs which are associated with cloud based services. IT heads do not consider the cloud billing system and thus obtain resources which they are probably not going to use. Cloud service provider allocates the resources demanded by a customer but even after the fact only half of the resources were used, the customer still needs to pay full amount due to the CSP’s billing norms which indirectly results in customer’s loss of money. Capacity planning is very important when you wish to use cloud services and distribute it among various departments in your organization. Cloud promises a very cost efficient way to do business and it is the only reason why more than half of the businesses have started switching to cloud platform because it offers a great way to get maximum resources where they only have to pay for the resources consumed which is a better option than traditional system which needs upfront costs. Now-a-days cloud services are billed based on their usage and there is various consumption based business models in the market who only charge you for the amount of resources you have consumed. Metering of your used resources and costs affiliated with it give a very clear picture to the organization of current resource usage and spending scenario that helps them to take more informed decisions and this is also a good practice to measure your usage of virtual resources on the cloud platform. Many-a -times there are resources which are unused like RAM, CPU and disk space for which the IT manager needs to pay the full amount even if only half of the allocated resources are used. The concept of Chargeback and Show back can help a business to engage in IT spending and value through responsible accounting of resources and the departments which consume these resources. CIOs want to analyze the resources which are allotted to each department and study their consumption through analysis because they do not want to pay additional costs for the resources which they are not going to consume. Every department or individual who are allocated their own set of resources needs to efficiently use this IT service and should be responsible for the significant expenses. Chargeback system also helps organizations to achieve greater profitability by creating transparency in business decisions Multi-Billing in eNlight Cloud Platform ESDS’ eNlight Cloud Platform comes with Cloud Metering and Billing for optimum utilization of resources and paying for only those services which you have consumed. A true leader in Cloud orchestration software, eNlight Cloud Platform provides easy IT infrastructure management, enables customers to seamlessly deploy applications on virtualized resources, offers Multi-Tenancy and Multi-Billing models. eNlight Cloud Platform’s Multi-Billing Module is consolidated with Multi-Tenant Architecture enables businesses to gather information of monetary resources consumption on business, department or individual level. eNlight Cloud Platform smartly maps per unit utilization of resources like real-time processor, memory, disk space and bandwidth and then provides statistics regarding the usage bill for the same. eNlight Cloud Platform provides multiple billing models, which suite almost all business models, they are 1. Dynamic Pay-Per-Consume 2. Fixed Pay-Per-Use 3. Service Based Billing Dynamic Pay-Per-Consume Billing When you consume certain resources & are charged for the resources which are allocated to you then it is known as Dynamic Pay-Per-Consume Billing. eNlight Cloud Platform provides Chargeback mechanism through its Auto-Scaling technology which focuses on the resources consumed rather than the allocated resources. eNlight Cloud Platform lets you deploy virtual machines which can scale dynamically as per the users’ activity. A user can easily allocate and deallocate compute resources whenever needed which directly leads to efficient use of resources. Dynamic virtual machines use resources between the resource capping which is set. Minimum and Maximum resource capping is set for virtual machines to scale between these limits. Through dynamic resource metering, a bill is generated for the consumption of resources which were used based upon the per unit rates according to eNlight Cloud Platform’s Chargeback mechanism. A user can achieve maximum benefit through the auto-scalable virtual machines which will only charge them for the resources which are consumed. Fixed Pay-Per-Use Billing When you charge a user based on the consumption of resources then it is pay-per-consume but when there are fixed units (resource) which are allocated to a user then it is essentially a direct billing model which is known as Fixed Pay-Per-Use Billing. This is the kind of billing model which is implemented by the entire cloud market. On eNlight Cloud Platform, static virtual machine is provided with fixed resources which is equals to the resources consumed and the billing is fixed. This leads to fixed resource utilization, where the resources can be charged on fixed flat rates. Services Based Billing There are multiple services offered by eNlight Cloud Platform and those tenants who wish to deploy a certain service are charged based upon service deployment which is known as Service Based Billing. A particular service can be provided to a customer along with the resources related to it like additional storage services, backup, security services etc. This package can be a service which is offered to a customer and can be charged individually based on single service utilization. This billing model is very different from the previous 2 billing models because here the rates are flat and fixed and will not change according to the consumption or allocation of resources to a customer. The flat rate chargeback model allows group application deployments and resources under one single financial plan for simple billing. Conclusion Cloud offers various services and there are multiple options to choose from when it comes to deploying a service according to your needs. The multiple billing models help a customer to choose from various suite of options which is fit for one’s business requirement. The chargeback model offered by eNlight Cloud Platform suits almost all the business requirements. Proper resource utilization models like Pay-Per-Use and Pay-Per-Billing allows a customer to meter their resource consumption and not pay any additional charges. When a customer has fixed resource utilization per month then there isn’t a best option than eNlight Cloud Platform’s Pay-Per-Billing model. All these billing models put together along with Multi-Tenant Architecture; CXOs can experience a whole new level of IT resource management through a single cloud management portal.
    Jul 16, 2018 17
  • 10 Jul 2018
    Smart City manner various things to one of a kind people; for some it's far a completely technologically advanced metropolis and for some it way getting all the simple necessities for an ordinary lifestyle. Smart City essentially includes all those aspects which make a city higher like waste control, water control, better trendy of living, proper transportation and protection for each citizen. Smart Cities are also known as Future Smart Cities due to the fact that they include of fundamental facilities with upgraded and newer technologies a good way to ease the lifestyles of residents. As generation and proper popular of living plays its vital position in affecting the lifestyles of every individual in India, we Indians are at the verge of a gigantic change with the intention to offer us with excellent infrastructure facilities, basic requirements and right residing situations. We all recognize how rapidly the populace in India is growing and this wouldn’t come as shocking news to us however we lack in the back of in providing basic amnesties to our humans. Our government has many boom plans for the residents but we are able to simply want to invest greater to make our cities greater livable. Urbanization is growing at a completely rapid pace and people normally migrate to those towns which are well developed. We need to develop greater towns into 2nd tier cities or metro towns due to the fact towns like Mumbai or Pune are already over populated and there are already dealing with demanding situations with providing infrastructure centers to each and every citizen. As increasingly humans migrate to our foremost towns and the cities face strain and fundamental breakdown, the high-quality life of the current residents will go to pot as a way to bring about poor way of life. Currently in India, 31% of population lives in cities and make contributions sixty-three% of the GDP and until 2030, 40% of populace may be living in cities. The Government in 2015 had given a mission to all the cities in India to become take part within the Smart City task by means of displaying willingness to alternate and provide all the facilities to their citizens by using completing all of the norms which might be essential for a metropolis to emerge as a Smart City. ‘India’s a hundred Smart City Challenge’ turned into the first round in which one hundred Indian towns had been choosen who could go into the following spherical with subsequent section of traits across the towns. This venture has been taken very critically ever since as all the authorities officers and town administrators participating enthusiastically with clear vision of what their metropolis has to be. Making our towns smart is consequently a formidable move by our government because they may be revised with what improvement is wanted and what sort of time it's going to take. There are loads of feedbacks in our society by way of the humans on whether or not or not the ‘Smart City’ initiative will advantage the existence on Indians. The Smart City plan suggests easy solutions for our day-to-day complicated desires. There are a couple of answers for you to ease the life of citizens if they're applied in a city. In a Smart City, the records and conversation technology (ICT) is used for exquisite sensible and green use of assets and value via electricity financial savings which in turn offers advanced high-quality of life and reduced environmental footprint. The ICT era uses the modern information of the town and which state it's far in so that nice modifications may be made in actual-time. With developing desires of our growing populace, we need to put into effect those solutions and offer the ones facilities which a person can benefit from and might better his residing conditions. Let’s take one factor at a time and talk over it if it could really better the existence on Indians Transportation We have already started enforcing GPS structures in our automobile in which we will discover the region of the car or someone as the GPS gadget additionally helps in making our pressure clean by using heading off traffic congestion and helping us to reach our destination in minimum time. We use clever traffic sensors which avoids accidents through accumulating statistics on peak traffic hours. Our streets are an awful lot safer after we've got hooked up cameras and traffic sign sensors which record the actions of vehicle to guide us at the proper time. For parking your vehicle, we have implemented smart parking answers which indicators the individual concerned to park your car each time there's a vacant parking spot in crowded parking place. Efficient use of strength Planning the use of electricity in the whole metropolis is a totally vital mission because neatly dispensing the strength for industrial building, houses, schools and hospitals is vital and there should be no power failure, so the power have to be ate up responsibly. Smart Homes We finally have clever homes in India which accommodates of clever appliances in the residence that are connected to the internet and we will get entry to it via our smartphones. Intelligent cooling, clever lights are a number of the examples of smart homes. As the Smart City mission will without a doubt generate a whole lot of virtual footprint of the residents, there can be questions raised concerning the privateness of the citizen’s statistics. But however with some of these solutions for the Smart City, there can be a clever answer for security which received allow any man or woman misuse or thieve a person’s non-public records. Conclusion If you ask me the question that if the Smart City plan will enhance the life of Indian’s? Then my answer is, YES; due to the truth that I can only see positives of this assignment if it's far implemented point-to-point. Upgrade in lifestyle can range from character to man or woman, for one it can be clever home however for some other character it could be a terrific paying task. So to answer this question it's far a bit early however we are able to surely enjoy an excellent way of life if everything promised to us is added.
    54 Posted by manohar parakh
  • Smart City manner various things to one of a kind people; for some it's far a completely technologically advanced metropolis and for some it way getting all the simple necessities for an ordinary lifestyle. Smart City essentially includes all those aspects which make a city higher like waste control, water control, better trendy of living, proper transportation and protection for each citizen. Smart Cities are also known as Future Smart Cities due to the fact that they include of fundamental facilities with upgraded and newer technologies a good way to ease the lifestyles of residents. As generation and proper popular of living plays its vital position in affecting the lifestyles of every individual in India, we Indians are at the verge of a gigantic change with the intention to offer us with excellent infrastructure facilities, basic requirements and right residing situations. We all recognize how rapidly the populace in India is growing and this wouldn’t come as shocking news to us however we lack in the back of in providing basic amnesties to our humans. Our government has many boom plans for the residents but we are able to simply want to invest greater to make our cities greater livable. Urbanization is growing at a completely rapid pace and people normally migrate to those towns which are well developed. We need to develop greater towns into 2nd tier cities or metro towns due to the fact towns like Mumbai or Pune are already over populated and there are already dealing with demanding situations with providing infrastructure centers to each and every citizen. As increasingly humans migrate to our foremost towns and the cities face strain and fundamental breakdown, the high-quality life of the current residents will go to pot as a way to bring about poor way of life. Currently in India, 31% of population lives in cities and make contributions sixty-three% of the GDP and until 2030, 40% of populace may be living in cities. The Government in 2015 had given a mission to all the cities in India to become take part within the Smart City task by means of displaying willingness to alternate and provide all the facilities to their citizens by using completing all of the norms which might be essential for a metropolis to emerge as a Smart City. ‘India’s a hundred Smart City Challenge’ turned into the first round in which one hundred Indian towns had been choosen who could go into the following spherical with subsequent section of traits across the towns. This venture has been taken very critically ever since as all the authorities officers and town administrators participating enthusiastically with clear vision of what their metropolis has to be. Making our towns smart is consequently a formidable move by our government because they may be revised with what improvement is wanted and what sort of time it's going to take. There are loads of feedbacks in our society by way of the humans on whether or not or not the ‘Smart City’ initiative will advantage the existence on Indians. The Smart City plan suggests easy solutions for our day-to-day complicated desires. There are a couple of answers for you to ease the life of citizens if they're applied in a city. In a Smart City, the records and conversation technology (ICT) is used for exquisite sensible and green use of assets and value via electricity financial savings which in turn offers advanced high-quality of life and reduced environmental footprint. The ICT era uses the modern information of the town and which state it's far in so that nice modifications may be made in actual-time. With developing desires of our growing populace, we need to put into effect those solutions and offer the ones facilities which a person can benefit from and might better his residing conditions. Let’s take one factor at a time and talk over it if it could really better the existence on Indians Transportation We have already started enforcing GPS structures in our automobile in which we will discover the region of the car or someone as the GPS gadget additionally helps in making our pressure clean by using heading off traffic congestion and helping us to reach our destination in minimum time. We use clever traffic sensors which avoids accidents through accumulating statistics on peak traffic hours. Our streets are an awful lot safer after we've got hooked up cameras and traffic sign sensors which record the actions of vehicle to guide us at the proper time. For parking your vehicle, we have implemented smart parking answers which indicators the individual concerned to park your car each time there's a vacant parking spot in crowded parking place. Efficient use of strength Planning the use of electricity in the whole metropolis is a totally vital mission because neatly dispensing the strength for industrial building, houses, schools and hospitals is vital and there should be no power failure, so the power have to be ate up responsibly. Smart Homes We finally have clever homes in India which accommodates of clever appliances in the residence that are connected to the internet and we will get entry to it via our smartphones. Intelligent cooling, clever lights are a number of the examples of smart homes. As the Smart City mission will without a doubt generate a whole lot of virtual footprint of the residents, there can be questions raised concerning the privateness of the citizen’s statistics. But however with some of these solutions for the Smart City, there can be a clever answer for security which received allow any man or woman misuse or thieve a person’s non-public records. Conclusion If you ask me the question that if the Smart City plan will enhance the life of Indian’s? Then my answer is, YES; due to the truth that I can only see positives of this assignment if it's far implemented point-to-point. Upgrade in lifestyle can range from character to man or woman, for one it can be clever home however for some other character it could be a terrific paying task. So to answer this question it's far a bit early however we are able to surely enjoy an excellent way of life if everything promised to us is added.
    Jul 10, 2018 54
  • 09 Jul 2018
    Artificial Intelligence (AI) & Big Data are one of the most rapidly emerging technologies in the digital world. There is an exponential rise in the amount of data being generated every day.  AI has turned out to be the new rage these days and the industry you are in doesn’t matter. AI has some exceptional potential for today’s world. According to Salesforce’s SMB Trends Report, 11% of small businesses already use AI technology.AI is a concept of intelligence demonstrated by machines, that earlier required human intelligence to complete. AI can also be termed as Machine Learning (ML), and sometimes Deep Learning. There is a major difference amongst all these terms. Basically Machine Learning and Deep Learning are sub-parts of an entire field of study called Artificial Intelligence. According to a new strategy, Big Data was deployed in Artificial Intelligence and it turned out to be a game changer approach. As we know Big Data technology makes use of information related to clients and enterprises, it then makes appropriate analysis to help enterprises make better decisions. Analysis made by Big Data help enterprises make decisions that are much effective and budget-friendly. Various complex tasks can be performed by AI some of them also include use of sensors and receptors to gather information and make decision that usually require human intelligence. With the advent of robot a new autonomy has been introduced that doesn’t require human involvement for implementing those decisions. Imagine when a technology like robotics enabled by AI gets combined with Big Data, we will surely get to see a rise of immensities that cannot be articulated today.AI and Analytics- A new wave of opportunityWith the evolution of AI and Big Data we can see a new wave of opportunity coming our way. This is related to advanced technologies such as Robotics and Machine Learning. Industry owners who have deployed these advanced technologies have witnessed significant performance hikes and profits. After deployment they are taking lead in their industry vertical. Also their efforts add up to the economy-level rise in production.Advances in Robotics, Artificial Intelligence, and Machine Learning give rise to a new era of innovation and various opportunities. Major advancements in technology are highlighting the capabilities of machines and how they can boost businesses and the economy.Talking about robotics, the technology has now been around for a long time now. Some industry verticals include manufacturing that has much more potential, is more flexible, safe. Robots are now an active part of ever increasing activities, combination of automation and self-learning skills. They are seen to be improving with time as they are educated by human workers on the workplaces, or they learn by themselves.How does Big Data and AI benefit enterprises and the owners? According to a new report by Forrester named, Predictions 2018: The Honeymoon For AI Is Over, predicted that businesses would move beyond the hype and identify that AI requires planning, deployment, and correct governance. And the result of this would be about 70 per cent of businesses are expected to implement AI in the next 12 months, right from 40% in 2016 and 51% in 2017. With such dedicated efforts already taken by owners to grasp the next generation analytics and AI. It can be said that 2018 is already shaping up to be a much constructive year for entrepreneurs.Now with the advent of new developments in technology such as Big Data, the scope and future of AI has been elevated to a newer dimension. The merger of Big Data analytics and AI and their evolution together can led to highly efficient, reliable, and dependable AI defined foundations.
    18 Posted by manohar parakh
  • Artificial Intelligence (AI) & Big Data are one of the most rapidly emerging technologies in the digital world. There is an exponential rise in the amount of data being generated every day.  AI has turned out to be the new rage these days and the industry you are in doesn’t matter. AI has some exceptional potential for today’s world. According to Salesforce’s SMB Trends Report, 11% of small businesses already use AI technology.AI is a concept of intelligence demonstrated by machines, that earlier required human intelligence to complete. AI can also be termed as Machine Learning (ML), and sometimes Deep Learning. There is a major difference amongst all these terms. Basically Machine Learning and Deep Learning are sub-parts of an entire field of study called Artificial Intelligence. According to a new strategy, Big Data was deployed in Artificial Intelligence and it turned out to be a game changer approach. As we know Big Data technology makes use of information related to clients and enterprises, it then makes appropriate analysis to help enterprises make better decisions. Analysis made by Big Data help enterprises make decisions that are much effective and budget-friendly. Various complex tasks can be performed by AI some of them also include use of sensors and receptors to gather information and make decision that usually require human intelligence. With the advent of robot a new autonomy has been introduced that doesn’t require human involvement for implementing those decisions. Imagine when a technology like robotics enabled by AI gets combined with Big Data, we will surely get to see a rise of immensities that cannot be articulated today.AI and Analytics- A new wave of opportunityWith the evolution of AI and Big Data we can see a new wave of opportunity coming our way. This is related to advanced technologies such as Robotics and Machine Learning. Industry owners who have deployed these advanced technologies have witnessed significant performance hikes and profits. After deployment they are taking lead in their industry vertical. Also their efforts add up to the economy-level rise in production.Advances in Robotics, Artificial Intelligence, and Machine Learning give rise to a new era of innovation and various opportunities. Major advancements in technology are highlighting the capabilities of machines and how they can boost businesses and the economy.Talking about robotics, the technology has now been around for a long time now. Some industry verticals include manufacturing that has much more potential, is more flexible, safe. Robots are now an active part of ever increasing activities, combination of automation and self-learning skills. They are seen to be improving with time as they are educated by human workers on the workplaces, or they learn by themselves.How does Big Data and AI benefit enterprises and the owners? According to a new report by Forrester named, Predictions 2018: The Honeymoon For AI Is Over, predicted that businesses would move beyond the hype and identify that AI requires planning, deployment, and correct governance. And the result of this would be about 70 per cent of businesses are expected to implement AI in the next 12 months, right from 40% in 2016 and 51% in 2017. With such dedicated efforts already taken by owners to grasp the next generation analytics and AI. It can be said that 2018 is already shaping up to be a much constructive year for entrepreneurs.Now with the advent of new developments in technology such as Big Data, the scope and future of AI has been elevated to a newer dimension. The merger of Big Data analytics and AI and their evolution together can led to highly efficient, reliable, and dependable AI defined foundations.
    Jul 09, 2018 18
  • 05 Jul 2018
    To understand the difference between Antivirus and Anti-Malware, it is necessary to first understand what a virus is and what a malware is. It might sound simple, but it is a confusing matter for those who are trying to deploy security systems for their home PCs or event vast IT infrastructures.  What is a virus? A computer virus is much like the flu virus (where it derives its name from) that spreads from system to system and has an ability to duplicate itself. Executed intentionally or unintentionally it modifies other computer programs by inserting its own code and causing unexpected and damaging effects. It is basically a malicious program and thus can be categorized as malware. Virus which is a type of malware – malicious software – is a term that is widely used by the public. It rose to fame in late in the 90s and has affected almost half of the world’s computers and systems at some point or the other, claims a report. Now, let’s understand what is a malware…  What is malware? As mentioned above, it is any unwanted malicious code that is designed to harm and contaminate the host system. It can include everything from viruses, spyware, Trojans, worms, adware, nagware and others. It also includes an advances malware called ransomware that is used to commit virtual financial frauds. Let us look at some of the above threats in short… Spyware: This malicious software is installed on a computing device without the knowledge of the end-user to track his or her activities. Deriving its name from spying, this software does exactly that and gather information about the person or organization and sends it to the attackers without any consent or permission of the user. Tojans, adware, cookies, key loggers are certain types of spyware. Trojans: This word comes from the deceptive Trojan horse that was used as a subterfuge by the Greeks to smuggle an army into the impenetrable city of Troy. Likewise, a computer Trojan Horse enters a system by establishing utmost trust but then perform mischievous activities like stealing information, taking over the system, making network source unavailable, etc. Worms: The primary function of a computer worm is to infect other computers and remain active of these systems. They might not steal anything but definitely cause harm to the system by consuming bandwidth or destroying files, Adware: This advertising-support software is the most annoying malware ever since it presents ads that users encounter while installing something. It is programmed to generate revenue for the creator by supplying him information on the type of sites the user visits and thus present him related content. Not all of it causes any harm but can be affect your computer’s performance. Now that we know the difference between malware and virus, it will be easier to understand what is Antivirus and Anti-malware. When these harmful programs enter your systems they can do a lot of damage. Apart from spoiling your programs, they can also steal from you by getting illegal access to your financial details online. Thus, software and IT companies have come up with various types of tools that can help prevent or resolve such infections. Antivirus software gained super popularity when viruses started affecting systems all over the world. They help erect a shield of protection around your systems so that viruses cannot get in. Similarly, there are many anti-malware software which are believed to provide wider protection. However, since malware is a broader term, it is important to understand which software helps with what kinds of malware. For example, a certain software can scan your system for as much as possible but can it provide protection against malwares that affect your PCs when you are surfing, installing applications and opening files. While another software can give you an on-access antivirus scan another can provide and on-demand anti-malware scan and cover all your fronts. The tool also needs to be updated with all the new security issues that are popping up daily across the World Wide Web. Scanning Tools There are many tools available in the market that can scan your systems for viruses and malware. A certain combination of tools is always helpful to cover all corners and get protection against most types of malicious software in case you are a data-critical organization. Various options include Norton, McAfee, Avast and others. While these will provide you a cover for your system, what about your websites and applications? Web Assets & Scanning In case you are an entrepreneur or a well-established enterprise, most of your business and reputation is governed by your online presence. Your website is proof of your service and securing it is as important as ground security that an office employs. Today, robbers are not attacking banks or offices, they are attacking the websites of these banks and offices to steal critical data virtually. These attacks can take place when hackers can spot vulnerabilities in your sites. A survey by White Hat Server Security demonstrates that 86 per cent of all websites have at least one serious vulnerability. So what can you do? Plug in the loopholes by installing a premium web application scanner that comes in flexible packages and provides you with instant hourly, daily, weekly or monthly report on real-time basis. All virtual world threats need to be systematically tackled with through a brainstormed security infrastructure inclusive of Server and Network Isolation, High End Cisco anomaly guards, Cisco Firewall, Anti-virus, Anti-spoof technology, Private VLANs, SSL Certificate, and more. It is necessary that organizations have the required tools to dissuade all efforts to compromise customer data. ESDS’ MTvScan – Malware, threat and security scanner -- has been developed specifically to safeguard web assets. Tools like MTvScan are growing popular among organizations since they can detect thousands of types of malware. Equipped deep and proof-based scanning, the MTvScan software performs activities like robust link crawling, banner grabbing, CMS detection, Malware Scan including page defacement, JS Codes, Iframe check, etc., Content Change Monitoring, OWAS Audit, LFI RFI detection, domain reputation checks, SSL Scan and phishing.
    84 Posted by manohar parakh
  • To understand the difference between Antivirus and Anti-Malware, it is necessary to first understand what a virus is and what a malware is. It might sound simple, but it is a confusing matter for those who are trying to deploy security systems for their home PCs or event vast IT infrastructures.  What is a virus? A computer virus is much like the flu virus (where it derives its name from) that spreads from system to system and has an ability to duplicate itself. Executed intentionally or unintentionally it modifies other computer programs by inserting its own code and causing unexpected and damaging effects. It is basically a malicious program and thus can be categorized as malware. Virus which is a type of malware – malicious software – is a term that is widely used by the public. It rose to fame in late in the 90s and has affected almost half of the world’s computers and systems at some point or the other, claims a report. Now, let’s understand what is a malware…  What is malware? As mentioned above, it is any unwanted malicious code that is designed to harm and contaminate the host system. It can include everything from viruses, spyware, Trojans, worms, adware, nagware and others. It also includes an advances malware called ransomware that is used to commit virtual financial frauds. Let us look at some of the above threats in short… Spyware: This malicious software is installed on a computing device without the knowledge of the end-user to track his or her activities. Deriving its name from spying, this software does exactly that and gather information about the person or organization and sends it to the attackers without any consent or permission of the user. Tojans, adware, cookies, key loggers are certain types of spyware. Trojans: This word comes from the deceptive Trojan horse that was used as a subterfuge by the Greeks to smuggle an army into the impenetrable city of Troy. Likewise, a computer Trojan Horse enters a system by establishing utmost trust but then perform mischievous activities like stealing information, taking over the system, making network source unavailable, etc. Worms: The primary function of a computer worm is to infect other computers and remain active of these systems. They might not steal anything but definitely cause harm to the system by consuming bandwidth or destroying files, Adware: This advertising-support software is the most annoying malware ever since it presents ads that users encounter while installing something. It is programmed to generate revenue for the creator by supplying him information on the type of sites the user visits and thus present him related content. Not all of it causes any harm but can be affect your computer’s performance. Now that we know the difference between malware and virus, it will be easier to understand what is Antivirus and Anti-malware. When these harmful programs enter your systems they can do a lot of damage. Apart from spoiling your programs, they can also steal from you by getting illegal access to your financial details online. Thus, software and IT companies have come up with various types of tools that can help prevent or resolve such infections. Antivirus software gained super popularity when viruses started affecting systems all over the world. They help erect a shield of protection around your systems so that viruses cannot get in. Similarly, there are many anti-malware software which are believed to provide wider protection. However, since malware is a broader term, it is important to understand which software helps with what kinds of malware. For example, a certain software can scan your system for as much as possible but can it provide protection against malwares that affect your PCs when you are surfing, installing applications and opening files. While another software can give you an on-access antivirus scan another can provide and on-demand anti-malware scan and cover all your fronts. The tool also needs to be updated with all the new security issues that are popping up daily across the World Wide Web. Scanning Tools There are many tools available in the market that can scan your systems for viruses and malware. A certain combination of tools is always helpful to cover all corners and get protection against most types of malicious software in case you are a data-critical organization. Various options include Norton, McAfee, Avast and others. While these will provide you a cover for your system, what about your websites and applications? Web Assets & Scanning In case you are an entrepreneur or a well-established enterprise, most of your business and reputation is governed by your online presence. Your website is proof of your service and securing it is as important as ground security that an office employs. Today, robbers are not attacking banks or offices, they are attacking the websites of these banks and offices to steal critical data virtually. These attacks can take place when hackers can spot vulnerabilities in your sites. A survey by White Hat Server Security demonstrates that 86 per cent of all websites have at least one serious vulnerability. So what can you do? Plug in the loopholes by installing a premium web application scanner that comes in flexible packages and provides you with instant hourly, daily, weekly or monthly report on real-time basis. All virtual world threats need to be systematically tackled with through a brainstormed security infrastructure inclusive of Server and Network Isolation, High End Cisco anomaly guards, Cisco Firewall, Anti-virus, Anti-spoof technology, Private VLANs, SSL Certificate, and more. It is necessary that organizations have the required tools to dissuade all efforts to compromise customer data. ESDS’ MTvScan – Malware, threat and security scanner -- has been developed specifically to safeguard web assets. Tools like MTvScan are growing popular among organizations since they can detect thousands of types of malware. Equipped deep and proof-based scanning, the MTvScan software performs activities like robust link crawling, banner grabbing, CMS detection, Malware Scan including page defacement, JS Codes, Iframe check, etc., Content Change Monitoring, OWAS Audit, LFI RFI detection, domain reputation checks, SSL Scan and phishing.
    Jul 05, 2018 84
  • 04 Jul 2018
    The quick growth to rank and raise cloud management techniques and means have formed massive opportunities for companies of all sizes and industries.By embracing a robust cloud management solution that is capable of managing everything right from cloud orchestration, scaling, support to management and monitoring of IT and non IT assets; enterprises can enhance their ability, add new proficiency, increase flexibility and reduce the service expenditure. There are a number of tools that are present in the market today which offer scaling, monitoring, support, etc. but can they be called a self-sufficient Cloud Management Solution, and are they capable of scaling as well? The answer to this question is probably not.A report generated in 2017 by Forbes predicts that ‘more than 60 per cent of enterprise owners have set aside capitals to purchase extra storage space in order to enable them to manage enormous amount of data that would be created in the years to come’. This proves that enterprises have planned to move to public and private clouds. With the adoption of eNlight Cloud Platform, all essential business goals of any organization can be accomplished with minimal efforts. In this world of cloud, one of the biggest features is the ability to scale and businesses these days demand auto scalable resources. A business demand like this can also be achieved by using eNlight Cloud and enterprises can expect to remain competitive in the years to come.While most key cloud providers talk about scaling, eNlight cloud platform talks about usage scaling. ESDS’ eNlight cloud management portal enables provisioning of resources such as RAM, CPU and bandwidth allocated dynamically. All the resources allocated are scaled up or down only when required. eNlight is intelligent enough to proactively generate reports and billing of the resources actually used. Scaling resources up or down is decided based on the load situation, automatically.Here’s how eNlight cloud supports scalability: eNlight is a high-potential US & UK patented cloud platform and auto scalability is a unique feature of eNlight Cloud orchestration software. Basically, there are three types of scaling approaches, namely- Horizontal, Vertical and Multi-Dimensional scaling. Leaders at ESDS and the master minds behind eNlight Cloud claim that eNlight is one of the most unique offerings with multi-dimensional scalability in the market today. eNlight Cloud has the capability to scale VM resources automatically and on the fly. The resources of a VM are scaled between the minimum and maximum resources assigned to it in proportion to the load over it. This is done by an intelligent algorithm that monitors its resources and scales them accordingly. Horizontal Scaling is a conventional scaling approach which is based on a technique called Load Balancing. eNlight Cloud Platform also provides horizontal scaling based on software-defined load balancing, with which VMs automatically scale out or scale in depending on workloads.Expanding the repository storage of the application and raising the number of resources in the similar logical parameter is called Vertical Scaling. Here, scalability is done with respect to both the processing capability as well as the CPU and RAM capacities. So for e.g. if the a 16 GB server is suddenly experiencing extra load may be due to increase in the number of processors in an existing, then the existing server can be scaled to a higher size, say 32 GB or 64 GB, as per the predefined limit set by the host. This is possible by using eNlight Cloud.  For instance you own an e-commerce website having loads of customers. Since you have lots of customer visiting and shopping regularly from your website, there are chances of increase in the traffic and that will directly collide with your server, resulting in downgrade of the websites performance. Now to avoid the downfall of the performance, you will want to scale your server capacity without any manual intervention or reboot or a downtime. With eNlight, capacity of the server can be increased by increasing the storage space as well as the capacity in real time. So if you are willing to use vertical auto-scaling approach, eNlight Cloud magnifies the capabilities of your node which will handle the traffic accurately. Now to reduce the responsibility of the individual servers, eNlight automatically increases the number of servers with equal storage in the already existing server. This is known as horizontal auto-scaling approach.When horizontal and vertical autoscaling are combine, it is called as hybrid or multi-dimensional scaling wherein depending on the incoming load the servers scale vertically to the set limits within the physical capacity of the server and then horizontally by creating more VMs.With the automatic scaling abilities in eNlight Cloud Platform, CIOs get the veto power to take control of Cloud and its core characteristics by scaling. However, another added benefit of this platform is that you cloud is automated and rendered easy to use. With a single sign on session, CIOs can monitor and manage their cloud at the click of the mouse. Everything from compute, network, security services, storage, database, applications, billing information and account management capabilities can be effortlessly accessed through a single window. The process in fact gets so automated that your system start running extra effectively leaving no chance for errors. All of this backed by ESDS’ exuberant support and managed services that are available round the clock and 365 days of the year make managing and provisioning for your cloud a cake walk.
    27 Posted by manohar parakh
  • The quick growth to rank and raise cloud management techniques and means have formed massive opportunities for companies of all sizes and industries.By embracing a robust cloud management solution that is capable of managing everything right from cloud orchestration, scaling, support to management and monitoring of IT and non IT assets; enterprises can enhance their ability, add new proficiency, increase flexibility and reduce the service expenditure. There are a number of tools that are present in the market today which offer scaling, monitoring, support, etc. but can they be called a self-sufficient Cloud Management Solution, and are they capable of scaling as well? The answer to this question is probably not.A report generated in 2017 by Forbes predicts that ‘more than 60 per cent of enterprise owners have set aside capitals to purchase extra storage space in order to enable them to manage enormous amount of data that would be created in the years to come’. This proves that enterprises have planned to move to public and private clouds. With the adoption of eNlight Cloud Platform, all essential business goals of any organization can be accomplished with minimal efforts. In this world of cloud, one of the biggest features is the ability to scale and businesses these days demand auto scalable resources. A business demand like this can also be achieved by using eNlight Cloud and enterprises can expect to remain competitive in the years to come.While most key cloud providers talk about scaling, eNlight cloud platform talks about usage scaling. ESDS’ eNlight cloud management portal enables provisioning of resources such as RAM, CPU and bandwidth allocated dynamically. All the resources allocated are scaled up or down only when required. eNlight is intelligent enough to proactively generate reports and billing of the resources actually used. Scaling resources up or down is decided based on the load situation, automatically.Here’s how eNlight cloud supports scalability: eNlight is a high-potential US & UK patented cloud platform and auto scalability is a unique feature of eNlight Cloud orchestration software. Basically, there are three types of scaling approaches, namely- Horizontal, Vertical and Multi-Dimensional scaling. Leaders at ESDS and the master minds behind eNlight Cloud claim that eNlight is one of the most unique offerings with multi-dimensional scalability in the market today. eNlight Cloud has the capability to scale VM resources automatically and on the fly. The resources of a VM are scaled between the minimum and maximum resources assigned to it in proportion to the load over it. This is done by an intelligent algorithm that monitors its resources and scales them accordingly. Horizontal Scaling is a conventional scaling approach which is based on a technique called Load Balancing. eNlight Cloud Platform also provides horizontal scaling based on software-defined load balancing, with which VMs automatically scale out or scale in depending on workloads.Expanding the repository storage of the application and raising the number of resources in the similar logical parameter is called Vertical Scaling. Here, scalability is done with respect to both the processing capability as well as the CPU and RAM capacities. So for e.g. if the a 16 GB server is suddenly experiencing extra load may be due to increase in the number of processors in an existing, then the existing server can be scaled to a higher size, say 32 GB or 64 GB, as per the predefined limit set by the host. This is possible by using eNlight Cloud.  For instance you own an e-commerce website having loads of customers. Since you have lots of customer visiting and shopping regularly from your website, there are chances of increase in the traffic and that will directly collide with your server, resulting in downgrade of the websites performance. Now to avoid the downfall of the performance, you will want to scale your server capacity without any manual intervention or reboot or a downtime. With eNlight, capacity of the server can be increased by increasing the storage space as well as the capacity in real time. So if you are willing to use vertical auto-scaling approach, eNlight Cloud magnifies the capabilities of your node which will handle the traffic accurately. Now to reduce the responsibility of the individual servers, eNlight automatically increases the number of servers with equal storage in the already existing server. This is known as horizontal auto-scaling approach.When horizontal and vertical autoscaling are combine, it is called as hybrid or multi-dimensional scaling wherein depending on the incoming load the servers scale vertically to the set limits within the physical capacity of the server and then horizontally by creating more VMs.With the automatic scaling abilities in eNlight Cloud Platform, CIOs get the veto power to take control of Cloud and its core characteristics by scaling. However, another added benefit of this platform is that you cloud is automated and rendered easy to use. With a single sign on session, CIOs can monitor and manage their cloud at the click of the mouse. Everything from compute, network, security services, storage, database, applications, billing information and account management capabilities can be effortlessly accessed through a single window. The process in fact gets so automated that your system start running extra effectively leaving no chance for errors. All of this backed by ESDS’ exuberant support and managed services that are available round the clock and 365 days of the year make managing and provisioning for your cloud a cake walk.
    Jul 04, 2018 27
  • 03 Jul 2018
    Artificial intelligence has come a long way from being just a science fiction dream to a reality which we see today. The world is evolving at a rapid pace and with it the technologies are being upgraded and are getting better too. Today we have more power in our pocket than we had in our homes in the 1990s. Not long ago, holograms and smartphones were just science concepts but now the smartphones can check our health as the technology is evolving. Some of the application areas of artificial intelligence are health, education, entertainment, services, security and many other domains but these fields are specifically the most to benefit from this technology. People are beginning to explore the benefits of AI and how it can ease their life. Artificial Intelligence and Machine Learning go hand-in-hand so that machines can learn about critical programs to gain knowledge and respond to demands to perform similar human-like tasks. Artificial Intelligence enables a machine to self-learn from experiences and human intervention which finally provides us human like capabilities for interaction and problem solving potential. From chess-playing computers to self-driving cars, AI is present in many areas which we not might have thought of. AI makes use of Deep Learning and Natural Language Processing (NLP) to accomplish tasks like these which drives automation and intelligent processes. Recently the most progressed fields are Augmented Reality, Virtual Reality, Voice Assistance and Artificial Intelligence, and people are beginning to wonder what the future might be like with this kind of technology. To explain these technologies in 2 lines I would like to start with Augmented Reality, which combines virtual objects with the real world which gives an interactive experience by computer generated perceptual information. Another one is the Virtual Reality which is a computer generated simulation of a 3D image which can be interacted in a real or physical way through an electronic device which has sensors. Last but not the least is the Voice assistance which has been with us for many years now but the enhancements in AI has provided more room for improvement in voice assisted technology. There are many examples of AR which are being used by individuals and industries like; IKEA uses the application Place, which they have recently released so that customers can check how different types of furniture look in their home which simplifies purchase decisions for the customers. Niantic’s Pokemon Go, an Augmented Reality based smartphone game, enables the player to catch Pokemon on real time locations. Automaker Company Ford, uses Microsoft’s HOLO LENS to design cars and experiment with new designs. Other automakers, Audi and Cadillac use Virtual Reality to enhance the customer experience so that the buyers can see the car model and the features. So in short what I mean to say is that now-a-days industry giants have started implementing technologies like AR and VR in their fields and are experiencing a much better way to run their business. Examples for Voice assistance technology are Apple’s Siri, Samsung’s S Voice, Microsoft’s Cortona and Google Assistant. A lot of development has been made in the field of AI in the last few years which has motivated developers and companies to create more products and services around it. These are some of the points which suggest why Artificial Intelligence is important: 1. Repetitive Learning though data AI carries out continuous computerized tasks which are high volume and automated. Through Deep Learning, AI seeks to get in depth information about a problem or a query raised by an individual. Human enquiry is still important to ask the right question so that the learning is in the right direction. 2. Adding Intelligence Products which are already in use are improved through the integration of AI capabilities. Different types of components like automation, learning bots and conversational platform can be merged together along with huge amounts of data to improve the product or the service through AI. 3. Adapting to newer algorithms AI continuously learns newer algorithms through structured data available to it where a new skill is acquired in order to provide newer experiences. An algorithm is important solve a certain case or a problem. When new models are introduced, AI automatically learns through training and added data. 4. Deeper Insights More and more analysis of data leads to deeper understanding of the database available to AI and through neural networks many hidden layers can be uncovered. With highest compute power, various models can be trained to go deep into data to get more relevant out of it. 5. Incredible Accuracy The most appropriate example to define this point will be Google search and Google photos which gets better as we continuously use them. Through deep neural networks, AI achieves higher accuracy to dive deep in data and select patterns of the users which can be helpful in providing similar results. 6. Proper utilization of data The algorithms are self-learning and the data is used appropriately and excessively by AI which helps bring out best results out of the big data. Since the data is important now than ever before, it creates a competitive advantage because many newer techniques or solutions and be uncovered through proper analysis. Conclusion Artificial Intelligence can benefit lives of each and every individual because it has the potential to offer a technology which can be implemented in day-to-day life and would make their lives easier. There are multiple areas which can benefit from AI and this will result in reduction of human efforts, costs and labour. Industries and Enterprises are already using AI in their business processes and have started seeing the difference through high efficiency, lower operating costs and faster decision making.
    61 Posted by manohar parakh
  • Artificial intelligence has come a long way from being just a science fiction dream to a reality which we see today. The world is evolving at a rapid pace and with it the technologies are being upgraded and are getting better too. Today we have more power in our pocket than we had in our homes in the 1990s. Not long ago, holograms and smartphones were just science concepts but now the smartphones can check our health as the technology is evolving. Some of the application areas of artificial intelligence are health, education, entertainment, services, security and many other domains but these fields are specifically the most to benefit from this technology. People are beginning to explore the benefits of AI and how it can ease their life. Artificial Intelligence and Machine Learning go hand-in-hand so that machines can learn about critical programs to gain knowledge and respond to demands to perform similar human-like tasks. Artificial Intelligence enables a machine to self-learn from experiences and human intervention which finally provides us human like capabilities for interaction and problem solving potential. From chess-playing computers to self-driving cars, AI is present in many areas which we not might have thought of. AI makes use of Deep Learning and Natural Language Processing (NLP) to accomplish tasks like these which drives automation and intelligent processes. Recently the most progressed fields are Augmented Reality, Virtual Reality, Voice Assistance and Artificial Intelligence, and people are beginning to wonder what the future might be like with this kind of technology. To explain these technologies in 2 lines I would like to start with Augmented Reality, which combines virtual objects with the real world which gives an interactive experience by computer generated perceptual information. Another one is the Virtual Reality which is a computer generated simulation of a 3D image which can be interacted in a real or physical way through an electronic device which has sensors. Last but not the least is the Voice assistance which has been with us for many years now but the enhancements in AI has provided more room for improvement in voice assisted technology. There are many examples of AR which are being used by individuals and industries like; IKEA uses the application Place, which they have recently released so that customers can check how different types of furniture look in their home which simplifies purchase decisions for the customers. Niantic’s Pokemon Go, an Augmented Reality based smartphone game, enables the player to catch Pokemon on real time locations. Automaker Company Ford, uses Microsoft’s HOLO LENS to design cars and experiment with new designs. Other automakers, Audi and Cadillac use Virtual Reality to enhance the customer experience so that the buyers can see the car model and the features. So in short what I mean to say is that now-a-days industry giants have started implementing technologies like AR and VR in their fields and are experiencing a much better way to run their business. Examples for Voice assistance technology are Apple’s Siri, Samsung’s S Voice, Microsoft’s Cortona and Google Assistant. A lot of development has been made in the field of AI in the last few years which has motivated developers and companies to create more products and services around it. These are some of the points which suggest why Artificial Intelligence is important: 1. Repetitive Learning though data AI carries out continuous computerized tasks which are high volume and automated. Through Deep Learning, AI seeks to get in depth information about a problem or a query raised by an individual. Human enquiry is still important to ask the right question so that the learning is in the right direction. 2. Adding Intelligence Products which are already in use are improved through the integration of AI capabilities. Different types of components like automation, learning bots and conversational platform can be merged together along with huge amounts of data to improve the product or the service through AI. 3. Adapting to newer algorithms AI continuously learns newer algorithms through structured data available to it where a new skill is acquired in order to provide newer experiences. An algorithm is important solve a certain case or a problem. When new models are introduced, AI automatically learns through training and added data. 4. Deeper Insights More and more analysis of data leads to deeper understanding of the database available to AI and through neural networks many hidden layers can be uncovered. With highest compute power, various models can be trained to go deep into data to get more relevant out of it. 5. Incredible Accuracy The most appropriate example to define this point will be Google search and Google photos which gets better as we continuously use them. Through deep neural networks, AI achieves higher accuracy to dive deep in data and select patterns of the users which can be helpful in providing similar results. 6. Proper utilization of data The algorithms are self-learning and the data is used appropriately and excessively by AI which helps bring out best results out of the big data. Since the data is important now than ever before, it creates a competitive advantage because many newer techniques or solutions and be uncovered through proper analysis. Conclusion Artificial Intelligence can benefit lives of each and every individual because it has the potential to offer a technology which can be implemented in day-to-day life and would make their lives easier. There are multiple areas which can benefit from AI and this will result in reduction of human efforts, costs and labour. Industries and Enterprises are already using AI in their business processes and have started seeing the difference through high efficiency, lower operating costs and faster decision making.
    Jul 03, 2018 61
  • 02 Jul 2018
    Cloud Computing has been implemented and accessed by almost 89 per cent of population in the world today. The cloud has been adopted in each and every industry and the benefits have been acquired by enterprises and individuals. Many organizations have opted for cloud services to store their critical data because they now know how secure cloud can be. Earlier, there were many questions raised against the technology and its application in businesses as everybody was skeptical regarding the security of data on cloud. Throughout the years, cloud technology has proved everybody wrong and established how easily cloud can benefit storage and access of data from anywhere and from any device. A specific space on the server allows you to store data and retrieve it whenever it is needed. This technology has saved a lot of costs, improved business efficiencies and provided huge competitive advantage over organizations that do not use cloud services. Data on cloud can be accessed remotely through any device which is connected to the internet which is one of the major benefits of this technology. A relatively new term which is Mobile Cloud Computing, is on the rise and the implementation and popularity around it is rising. The very existence of mobile phones will drive the trend of mobile cloud computing. Now-a-days almost every individual has a smartphone and knows how to use every feature of it. As smartphones are able to run multiple high-end applications, cloud-based applications are also available on the phone as it can connect to your cloud storage to store and retrieve data. Mobile cloud computing completely makes use of cloud computing to deliver applications to certain mobile devices. Smartphones are not powerful like cloud infrastructure but they at least provide a platform which can make use of a cloud infrastructure to make use of powerful processing power and storage facilities which are not a part of a mobile device. Mobile-based cloud applications can be used remotely using flexibility and speed through the help of the cloud’s computing power and data storage capabilities. Advantages of Mobile Cloud Computing 1. Flexibility Mobile cloud computing allows you to store and retrieve data from anywhere in the world through any device as long as it is connected to the internet. This allows smooth exchange of data whenever there is a need of information. 2. Multiple Platform Support You can make use of mobile cloud computing regardless of the platform you are using because cloud computing supports various different types of platforms to run your applications. 3. Data Availability at all times You can get real time data at your will when you make use of mobile cloud applications. This allows you to get access to your data when you want it and you can also save your data on the cloud when you wish to surf offline. 4. Cost efficiency This service is very pocket friendly as there are not any hefty charges related to mobile cloud computing because now-a-days the service is based on only pay for what you use. 5. Data back-up As you constantly generate new data on your phone, the mobile cloud application helps you to back up your data on the cloud when it needs to be kept secure or when the data is not in use. 6. Data recovery In case of a disaster you lose your critical data, the cloud application always allows you to recover your data from the cloud by following certain process. Recovery of your data from any location is possible if you are connected to the internet and you have sufficient storage space on your device. Disadvantages of Mobile Cloud Computing 1. Data Privacy Most of the times the user has sensitive content on the cloud and during the data flow there can be breach in the network which can lead to the loss of data. It is extremely important to choose the right service provider who will ensure that your data is safe at all times and in any situation. 2. Connectivity When the service which you want to use is completely dependent on the internet connection, it is important to see that the connection is up at all the times so that your cloud connection is not being suffered which might affect the transfer of your data. There are no disadvantages except these issues because cloud has come a long way and many glitches are resolved which has made the offering a suitable service for every organization and individual. Conclusion Despite some back draws, cloud computing and mobile cloud computing have a very bright future as they have made it very easy to access data and applications over the cloud without the need of incurring huge costs associated with the technology.
    65 Posted by manohar parakh
  • Cloud Computing has been implemented and accessed by almost 89 per cent of population in the world today. The cloud has been adopted in each and every industry and the benefits have been acquired by enterprises and individuals. Many organizations have opted for cloud services to store their critical data because they now know how secure cloud can be. Earlier, there were many questions raised against the technology and its application in businesses as everybody was skeptical regarding the security of data on cloud. Throughout the years, cloud technology has proved everybody wrong and established how easily cloud can benefit storage and access of data from anywhere and from any device. A specific space on the server allows you to store data and retrieve it whenever it is needed. This technology has saved a lot of costs, improved business efficiencies and provided huge competitive advantage over organizations that do not use cloud services. Data on cloud can be accessed remotely through any device which is connected to the internet which is one of the major benefits of this technology. A relatively new term which is Mobile Cloud Computing, is on the rise and the implementation and popularity around it is rising. The very existence of mobile phones will drive the trend of mobile cloud computing. Now-a-days almost every individual has a smartphone and knows how to use every feature of it. As smartphones are able to run multiple high-end applications, cloud-based applications are also available on the phone as it can connect to your cloud storage to store and retrieve data. Mobile cloud computing completely makes use of cloud computing to deliver applications to certain mobile devices. Smartphones are not powerful like cloud infrastructure but they at least provide a platform which can make use of a cloud infrastructure to make use of powerful processing power and storage facilities which are not a part of a mobile device. Mobile-based cloud applications can be used remotely using flexibility and speed through the help of the cloud’s computing power and data storage capabilities. Advantages of Mobile Cloud Computing 1. Flexibility Mobile cloud computing allows you to store and retrieve data from anywhere in the world through any device as long as it is connected to the internet. This allows smooth exchange of data whenever there is a need of information. 2. Multiple Platform Support You can make use of mobile cloud computing regardless of the platform you are using because cloud computing supports various different types of platforms to run your applications. 3. Data Availability at all times You can get real time data at your will when you make use of mobile cloud applications. This allows you to get access to your data when you want it and you can also save your data on the cloud when you wish to surf offline. 4. Cost efficiency This service is very pocket friendly as there are not any hefty charges related to mobile cloud computing because now-a-days the service is based on only pay for what you use. 5. Data back-up As you constantly generate new data on your phone, the mobile cloud application helps you to back up your data on the cloud when it needs to be kept secure or when the data is not in use. 6. Data recovery In case of a disaster you lose your critical data, the cloud application always allows you to recover your data from the cloud by following certain process. Recovery of your data from any location is possible if you are connected to the internet and you have sufficient storage space on your device. Disadvantages of Mobile Cloud Computing 1. Data Privacy Most of the times the user has sensitive content on the cloud and during the data flow there can be breach in the network which can lead to the loss of data. It is extremely important to choose the right service provider who will ensure that your data is safe at all times and in any situation. 2. Connectivity When the service which you want to use is completely dependent on the internet connection, it is important to see that the connection is up at all the times so that your cloud connection is not being suffered which might affect the transfer of your data. There are no disadvantages except these issues because cloud has come a long way and many glitches are resolved which has made the offering a suitable service for every organization and individual. Conclusion Despite some back draws, cloud computing and mobile cloud computing have a very bright future as they have made it very easy to access data and applications over the cloud without the need of incurring huge costs associated with the technology.
    Jul 02, 2018 65
  • 29 Jun 2018
    In my previous post, I defined and differentiated, How principles of virtualisation can help you to understand cloud computing. I have identified the main cloud services on demand that are Infrastructure as a Service (IaaS), Platform as a Service (PasS), the software service -Software as a Service (SaaS). The “3” concept of cloud computing is in demand, according to an ICT online survey report 2014. The cloud as a service and deployment model, Cloud computing is a way to manage virtualised IT resources. Servers, workstations, network, software is remotely managed and demand is deployed. The connected network of servers is grouped together to divide the load generated on site and manage uptime of a website even in critical traffic situations. Cloud servers need no time for hardware installation so it is the purchase of a managed IT service through an online ordering interface. You buy only what you consume. The most popular cloud services are the services infrastructure, the service and the software platform.1) Managing the IaaS platform,Infrastructure as a Service (IaaS) is the use of infrastructure or virtual machines on demand. The supplier is responsible for the network elements, transit and virtual servers. The consumer, however, is responsible for the installation and operation of its operating system and its applications.For a business, this first case is interesting only if it has sufficient human resources expert to manage itself the operation of its IT platforms.Benefits of the IaaS model include:     Scalability     No investment in hardware     Pay per Costing     Location independence     Physical security of data centres locations for servers  2) Managing Platform as a Service,The platform as a service (PaaS) is an enhanced version of service infrastructure (IaaS). The company has an on demand infrastructure that can be adjusted according to the needs. Also, it has a minimum service from its service provider, since it is also responsible for operating systems and certain licenses, such as databases.In PaaS, the resources and software needed for the hosting of its platform and  service is used for production. The service provider will install and configure servers, operating systems, databases and required licenses. The consumer will still be responsible for setting its applications and operations.The advantage is that the company has a highly flexible and scalable service. According to its needs, it can adjust its platform. For example, if eUKhost found something that could cause a peak load on its client website, it can quickly increase the technological resources and without interruption or direct impact to its customers.Benefits of the PaaS model include:     Server-side scripting environment     Database management system     Server Software     Support     Storage     Network access     Tools for design and development  3) Managing Software as a ServiceThe software service (SaaS) is the most “advanced” version of the cloud service. Your service provides a complete platform, including operating systems, software and specific applications. It is a software distribution model in which applications are hosted by a service provider and made available to client over a network.Benefits of the SaaS model include:     Easier administration     Automatic updates and patch management     Compatibility: All users will have the same version of the software.     Easier collaboration, for the same reason     Global accessibility. SaaS applications are designed for end-users, delivered over the web, so provider has to take care of the installation and configuration of all servers and applications (web server, mail server, database integration the software). SaaS really include all tasks related to the operation of the platform, servers and operating systems, including monitoring, responding to incidents, patch management, security or, on the contrary, it will include only the relevant monitoring platform without actually respond to problems and without contractual service level that can be subject to penalties.To avoid unpleasant surprises, before subscribing to a service, ask about the perimeters that are actually supported by your service provider, because it is your reputation and even your revenue that depends on management.For example, consider the case of an e-commerce site: when one considers that 17% of shoppers choose to purchase a site based on its availability, if it is poorly managed, each downtime rhyme with a bad reputation and loss of money. Furthermore, the more you climb the ladder of the service, the less you are working on your platform. In IaaS, you are working a lot on your platform, PaaS mode, you are working less, and SaaS, you do nothing at all!Cloud computing offers many possibilities and plenty of efficient services, but it also has limitations. This is the case, for example, applications that are specifically within your IT applications with increased security requirements, or applications where large data cloud computing is not recommended due the power required treatment.
    24 Posted by manohar parakh
  • In my previous post, I defined and differentiated, How principles of virtualisation can help you to understand cloud computing. I have identified the main cloud services on demand that are Infrastructure as a Service (IaaS), Platform as a Service (PasS), the software service -Software as a Service (SaaS). The “3” concept of cloud computing is in demand, according to an ICT online survey report 2014. The cloud as a service and deployment model, Cloud computing is a way to manage virtualised IT resources. Servers, workstations, network, software is remotely managed and demand is deployed. The connected network of servers is grouped together to divide the load generated on site and manage uptime of a website even in critical traffic situations. Cloud servers need no time for hardware installation so it is the purchase of a managed IT service through an online ordering interface. You buy only what you consume. The most popular cloud services are the services infrastructure, the service and the software platform.1) Managing the IaaS platform,Infrastructure as a Service (IaaS) is the use of infrastructure or virtual machines on demand. The supplier is responsible for the network elements, transit and virtual servers. The consumer, however, is responsible for the installation and operation of its operating system and its applications.For a business, this first case is interesting only if it has sufficient human resources expert to manage itself the operation of its IT platforms.Benefits of the IaaS model include:     Scalability     No investment in hardware     Pay per Costing     Location independence     Physical security of data centres locations for servers  2) Managing Platform as a Service,The platform as a service (PaaS) is an enhanced version of service infrastructure (IaaS). The company has an on demand infrastructure that can be adjusted according to the needs. Also, it has a minimum service from its service provider, since it is also responsible for operating systems and certain licenses, such as databases.In PaaS, the resources and software needed for the hosting of its platform and  service is used for production. The service provider will install and configure servers, operating systems, databases and required licenses. The consumer will still be responsible for setting its applications and operations.The advantage is that the company has a highly flexible and scalable service. According to its needs, it can adjust its platform. For example, if eUKhost found something that could cause a peak load on its client website, it can quickly increase the technological resources and without interruption or direct impact to its customers.Benefits of the PaaS model include:     Server-side scripting environment     Database management system     Server Software     Support     Storage     Network access     Tools for design and development  3) Managing Software as a ServiceThe software service (SaaS) is the most “advanced” version of the cloud service. Your service provides a complete platform, including operating systems, software and specific applications. It is a software distribution model in which applications are hosted by a service provider and made available to client over a network.Benefits of the SaaS model include:     Easier administration     Automatic updates and patch management     Compatibility: All users will have the same version of the software.     Easier collaboration, for the same reason     Global accessibility. SaaS applications are designed for end-users, delivered over the web, so provider has to take care of the installation and configuration of all servers and applications (web server, mail server, database integration the software). SaaS really include all tasks related to the operation of the platform, servers and operating systems, including monitoring, responding to incidents, patch management, security or, on the contrary, it will include only the relevant monitoring platform without actually respond to problems and without contractual service level that can be subject to penalties.To avoid unpleasant surprises, before subscribing to a service, ask about the perimeters that are actually supported by your service provider, because it is your reputation and even your revenue that depends on management.For example, consider the case of an e-commerce site: when one considers that 17% of shoppers choose to purchase a site based on its availability, if it is poorly managed, each downtime rhyme with a bad reputation and loss of money. Furthermore, the more you climb the ladder of the service, the less you are working on your platform. In IaaS, you are working a lot on your platform, PaaS mode, you are working less, and SaaS, you do nothing at all!Cloud computing offers many possibilities and plenty of efficient services, but it also has limitations. This is the case, for example, applications that are specifically within your IT applications with increased security requirements, or applications where large data cloud computing is not recommended due the power required treatment.
    Jun 29, 2018 24
  • 26 Jun 2018
      The last few months have witnessed a rise in the attention given to Artificial Intelligence (AI) and robotics. The fact is that robots have already become a part of the society; in fact, it is now an integral part. Talking about big data, it is definitely a buzz word today. The future of AI has been transformed considerably after it has been clubbed with new developments in the technological world like big data. Enterprises worldwide generate huge amount of data. The data doesn’t have a specified format. It could be both structured and unstructured. Years back the data generated used to get wasted as there was no analytics performed on it. But now with the advent of big data, data is processed and analysis is performed on most of the data that is generated. Analysts make sure they are able to derive meaningful patterns, trends, and associations that simplify business decisions. Big data is such a big deal these days that even small and mid-scale companies after looking at all the big data benefits wish to get benefitted from it. There are ample of benefits of big data, but the biggest advantage is gathering the surprising amounts of information and then analyzing all the information that is obtained from web. The term ‘big data’ is comparatively new, but the concept has been a part of the world of robotics since a long time. The director of Auton Lab, Arthur Dubrawski says, "Robotics from the beginning has always been about data". The operational definition of Robotics is all about executing the following sequence in loop: sensing, planning and acting. Almost all the activities going around the robot and in the surrounding environment is perceived by the robots. Robots sense and perceive through the sensors built in them in order to be aware of what’s happening around them. To meet the desired purpose and reliability in a complicated environment planning is needed. Also to meet the planned goals, taking and monitoring planned actions is a must. Did you notice all the above steps involve use of huge amount of data? There are a large number of modules meant for sensing purpose, some of them are sensors that measure range, position, visual, tactile sensor and other various similar modules. Some of these sensors generate large amount of data. Artificial Intelligence (AI) isn’t discovered in the recent years. In fact, it has been a part of the Defense Research and Development Organization (DRDO) as a Centre for Artificial Intelligence and Robotics, established much earlier in the year 1986. Robotics haven’t labelled anything, but have a long history of working with Big Data. According to Dubrawski, “Robotic technology powered by AI has always been about analytics from its advent”. He also believes that robots have the capability of sensing and perceiving data through their sensors. They then link what they perceived along with actions through planning. Hence performing analysis and processing of information at all stages in loop of sense, plan and act. For years now we have relied on technologies and borrowed analytics from methodologies such as machine learning and many others. However, robotics come up with some original research and techniques occasionally. These techniques are usually designed for solving robotics related issues, but later they can be used for any application. How has Big Data impacted Artificial Intelligence? 5 reasons about Big Data that promoted AI implementation: Increased processing capability: With the evolution of processors in the recent years there has been drastic growth in computing speeds too. Billions of instructions can be processed in few micro seconds. Along with the traditional sequential computing through CPUs (Central Processing Unit), there is an advent of parallel computing through GPUs (Graphics Processing Unit) seen. This has indeed increased the speed of processing data and helped derive advanced protocols for machine learning in AI applications. Availability of low cost and large scale memory device: High storage and retrieval of big data is now possible using efficient memory devices like DRAM’s (Dynamic Random Access Memory) and logic gate such as NAND’s. Data need not be placed at some central location or stored in a particular computer’s memory any longer now. Also there is so much of data generated and processed every day to fit into a single device. Due to Cloud technology data can be stored in distributed infrastructure and parallel processing can be done on the data. Hence, the outcome of large-scale computations like Cloud technology are used to construct the AI knowledge space. Learning from actual data sets, no more from sample ones: Just when AI came into existence, machines had to learn new behavior from a limited sample sets, along with a hypothesis-based approach for analysis of data. That’s a traditional way, now a day with Big Data machines don’t have to rely on samples. There is ample of actual data available that can be used anytime. Algorithms used for voice and image processing: Understanding and learning from human communication also known as Machine Learning, is a fundamental requirement of AI. Human voice data sets are a lot in number, with numerous languages and dialects. Big data analysis supports breakdown of data sets to identify words and phrases. Similar is the case with image processing, it identifies appearances, outlines, maps to process information. Big data analysis enables machines to recognize images and learn how to respond. Open-source programming languages and platforms If it was possible to store a data set in a single storage device, then AI data model would have used not very complex programming languages such as Python or R, which are also known for being a data analyst. Unlikely, for commercial scale operations enterprises use Hadoop for big data management. Hadoop is an open source, java based software framework that has capabilities of reading and analyzing distributed data sets. Since Hadoop is open source it is reliable and free programming tool for data analysis. It has made AI algorithm execution more efficient. Today AI and Big Data analytics are known to be two most promising technologies that enterprises can take along with them in the days to come. AI along with Big Data will make sure businesses take intelligent decisions based on historic information available. But understanding the union and interdependency of these technologies is where the success lies.
    51 Posted by manohar parakh
  •   The last few months have witnessed a rise in the attention given to Artificial Intelligence (AI) and robotics. The fact is that robots have already become a part of the society; in fact, it is now an integral part. Talking about big data, it is definitely a buzz word today. The future of AI has been transformed considerably after it has been clubbed with new developments in the technological world like big data. Enterprises worldwide generate huge amount of data. The data doesn’t have a specified format. It could be both structured and unstructured. Years back the data generated used to get wasted as there was no analytics performed on it. But now with the advent of big data, data is processed and analysis is performed on most of the data that is generated. Analysts make sure they are able to derive meaningful patterns, trends, and associations that simplify business decisions. Big data is such a big deal these days that even small and mid-scale companies after looking at all the big data benefits wish to get benefitted from it. There are ample of benefits of big data, but the biggest advantage is gathering the surprising amounts of information and then analyzing all the information that is obtained from web. The term ‘big data’ is comparatively new, but the concept has been a part of the world of robotics since a long time. The director of Auton Lab, Arthur Dubrawski says, "Robotics from the beginning has always been about data". The operational definition of Robotics is all about executing the following sequence in loop: sensing, planning and acting. Almost all the activities going around the robot and in the surrounding environment is perceived by the robots. Robots sense and perceive through the sensors built in them in order to be aware of what’s happening around them. To meet the desired purpose and reliability in a complicated environment planning is needed. Also to meet the planned goals, taking and monitoring planned actions is a must. Did you notice all the above steps involve use of huge amount of data? There are a large number of modules meant for sensing purpose, some of them are sensors that measure range, position, visual, tactile sensor and other various similar modules. Some of these sensors generate large amount of data. Artificial Intelligence (AI) isn’t discovered in the recent years. In fact, it has been a part of the Defense Research and Development Organization (DRDO) as a Centre for Artificial Intelligence and Robotics, established much earlier in the year 1986. Robotics haven’t labelled anything, but have a long history of working with Big Data. According to Dubrawski, “Robotic technology powered by AI has always been about analytics from its advent”. He also believes that robots have the capability of sensing and perceiving data through their sensors. They then link what they perceived along with actions through planning. Hence performing analysis and processing of information at all stages in loop of sense, plan and act. For years now we have relied on technologies and borrowed analytics from methodologies such as machine learning and many others. However, robotics come up with some original research and techniques occasionally. These techniques are usually designed for solving robotics related issues, but later they can be used for any application. How has Big Data impacted Artificial Intelligence? 5 reasons about Big Data that promoted AI implementation: Increased processing capability: With the evolution of processors in the recent years there has been drastic growth in computing speeds too. Billions of instructions can be processed in few micro seconds. Along with the traditional sequential computing through CPUs (Central Processing Unit), there is an advent of parallel computing through GPUs (Graphics Processing Unit) seen. This has indeed increased the speed of processing data and helped derive advanced protocols for machine learning in AI applications. Availability of low cost and large scale memory device: High storage and retrieval of big data is now possible using efficient memory devices like DRAM’s (Dynamic Random Access Memory) and logic gate such as NAND’s. Data need not be placed at some central location or stored in a particular computer’s memory any longer now. Also there is so much of data generated and processed every day to fit into a single device. Due to Cloud technology data can be stored in distributed infrastructure and parallel processing can be done on the data. Hence, the outcome of large-scale computations like Cloud technology are used to construct the AI knowledge space. Learning from actual data sets, no more from sample ones: Just when AI came into existence, machines had to learn new behavior from a limited sample sets, along with a hypothesis-based approach for analysis of data. That’s a traditional way, now a day with Big Data machines don’t have to rely on samples. There is ample of actual data available that can be used anytime. Algorithms used for voice and image processing: Understanding and learning from human communication also known as Machine Learning, is a fundamental requirement of AI. Human voice data sets are a lot in number, with numerous languages and dialects. Big data analysis supports breakdown of data sets to identify words and phrases. Similar is the case with image processing, it identifies appearances, outlines, maps to process information. Big data analysis enables machines to recognize images and learn how to respond. Open-source programming languages and platforms If it was possible to store a data set in a single storage device, then AI data model would have used not very complex programming languages such as Python or R, which are also known for being a data analyst. Unlikely, for commercial scale operations enterprises use Hadoop for big data management. Hadoop is an open source, java based software framework that has capabilities of reading and analyzing distributed data sets. Since Hadoop is open source it is reliable and free programming tool for data analysis. It has made AI algorithm execution more efficient. Today AI and Big Data analytics are known to be two most promising technologies that enterprises can take along with them in the days to come. AI along with Big Data will make sure businesses take intelligent decisions based on historic information available. But understanding the union and interdependency of these technologies is where the success lies.
    Jun 26, 2018 51
  • 26 Jun 2018
    People are buying internet connected appliances for their own use as they see an increased efficiency and output through these devices in their day-to-day life. Internet has always seem to make the lives of the user easier through connecting to other people by computer or smart phones; now it looks to connect through the ‘Things’ installed in houses, streets, shops, organizations and multiple other places. The range of devices include smart TVs, smart wearables, sensors, smart grid, smart cameras, smart home appliances and many more. As we all know that these devices interact with each other in order to give an individual the desired result so that he/she can take an appropriate decision based on the findings. Every piece of information is recorded through the smart devices which stores it in a manner which can be retrieved later.Back in prehistoric times when cavemen first ignited fire; must’ve thought, is it safe? Over the years there have been many breakthroughs in day-to-day appliances which have affected our lives and has made the world a better place. We never knew for sure that what is safe for us and what isn’t but we have always learned newer ways to make our lives easier by implementing certain techniques and technologies. When it comes to Internet of Things, there is a lot to learn as we are still learning about the technology and we can successfully apply it our daily routine. There are multiple areas which are poised to be the best places to install a device in order to connect with other devices for sharing of data so that the appliances can serve us. Due to distribution of data to multiple connected devices, some might say the privacy of data goes for a toss. When there are devices installed in various areas which are connected with each other and continuously transfer data, concerns regarding data privacy rise giving birth to data theft which leads to inappropriate use of data.IoT offers various benefits to consumers by creating numerous ways to interact with technology as the connected applications will offer ease in living while merging the virtual and the physical world by combining the data. There are some concerns which are related to security, privacy and safety of the data created and shared by the Internet of Things. Huge amount of data is created when these devices are interconnected and they interact with each other to combine data for an end result which an individual can use for one purpose or another.Concerns regarding the authenticity of these devices are always questioned because they not only collect sensitive data but also transfer it which opens windows for misuse of data as the devices shares observations about daily activity of a person and thus consumers will obviously want data privacy. As IoT evolves, there will be billions of connected devices in the years to come which will generate loads of data. Every device raises a security concern for a business, organization or a house owner because it shows potential threat of data leak through any of the connection which might lead to an attack by cyber criminals. The threats under IoT are broadly classified under these three areas which are Safety, Security and Privacy of data. There have been reports on IoT devices which suggest that attacks through these devices can even cripple systems to cause failure and lack of downtime will lead to loss in business.  Since IoT has critical infrastructure components, it makes it a very strong target for attackers and information espionage within organizations. The safety of such infrastructure is critical as it holds important information.Privacy is another major concern when these devices carry such important data of millions of citizens. One thing we need to know that IoT is still in development phase and no one has mastered the application of these devices. There can be areas of failures and we are still trying to improve and get things right and so we need to be very observant while these machines act autonomously and generate and distribute our personal data. Last but not the least, security is another major concern and it can collapse your entire infrastructure along with loss of crucial data. It is essential to keep an eye on the devices which are connected and see to it that no on tampers with them. Attackers change functionality of the machines and request them to act in a slick way so that they can change the operation of the devices while not following the device owner’s commands. Attackers fiddle with connected devices to make inappropriate use of the data collected by them.ConclusionThe rapidly growing trend of IoT devices is catching eyeballs of every citizen as they wish to implement this technology in their day-to-day life itself. But with every technology there is one issue which follows it which is the security measures which needs to be taken in order to smoothly implement and use the technology without harming any individual.
    25 Posted by manohar parakh
  • People are buying internet connected appliances for their own use as they see an increased efficiency and output through these devices in their day-to-day life. Internet has always seem to make the lives of the user easier through connecting to other people by computer or smart phones; now it looks to connect through the ‘Things’ installed in houses, streets, shops, organizations and multiple other places. The range of devices include smart TVs, smart wearables, sensors, smart grid, smart cameras, smart home appliances and many more. As we all know that these devices interact with each other in order to give an individual the desired result so that he/she can take an appropriate decision based on the findings. Every piece of information is recorded through the smart devices which stores it in a manner which can be retrieved later.Back in prehistoric times when cavemen first ignited fire; must’ve thought, is it safe? Over the years there have been many breakthroughs in day-to-day appliances which have affected our lives and has made the world a better place. We never knew for sure that what is safe for us and what isn’t but we have always learned newer ways to make our lives easier by implementing certain techniques and technologies. When it comes to Internet of Things, there is a lot to learn as we are still learning about the technology and we can successfully apply it our daily routine. There are multiple areas which are poised to be the best places to install a device in order to connect with other devices for sharing of data so that the appliances can serve us. Due to distribution of data to multiple connected devices, some might say the privacy of data goes for a toss. When there are devices installed in various areas which are connected with each other and continuously transfer data, concerns regarding data privacy rise giving birth to data theft which leads to inappropriate use of data.IoT offers various benefits to consumers by creating numerous ways to interact with technology as the connected applications will offer ease in living while merging the virtual and the physical world by combining the data. There are some concerns which are related to security, privacy and safety of the data created and shared by the Internet of Things. Huge amount of data is created when these devices are interconnected and they interact with each other to combine data for an end result which an individual can use for one purpose or another.Concerns regarding the authenticity of these devices are always questioned because they not only collect sensitive data but also transfer it which opens windows for misuse of data as the devices shares observations about daily activity of a person and thus consumers will obviously want data privacy. As IoT evolves, there will be billions of connected devices in the years to come which will generate loads of data. Every device raises a security concern for a business, organization or a house owner because it shows potential threat of data leak through any of the connection which might lead to an attack by cyber criminals. The threats under IoT are broadly classified under these three areas which are Safety, Security and Privacy of data. There have been reports on IoT devices which suggest that attacks through these devices can even cripple systems to cause failure and lack of downtime will lead to loss in business.  Since IoT has critical infrastructure components, it makes it a very strong target for attackers and information espionage within organizations. The safety of such infrastructure is critical as it holds important information.Privacy is another major concern when these devices carry such important data of millions of citizens. One thing we need to know that IoT is still in development phase and no one has mastered the application of these devices. There can be areas of failures and we are still trying to improve and get things right and so we need to be very observant while these machines act autonomously and generate and distribute our personal data. Last but not the least, security is another major concern and it can collapse your entire infrastructure along with loss of crucial data. It is essential to keep an eye on the devices which are connected and see to it that no on tampers with them. Attackers change functionality of the machines and request them to act in a slick way so that they can change the operation of the devices while not following the device owner’s commands. Attackers fiddle with connected devices to make inappropriate use of the data collected by them.ConclusionThe rapidly growing trend of IoT devices is catching eyeballs of every citizen as they wish to implement this technology in their day-to-day life itself. But with every technology there is one issue which follows it which is the security measures which needs to be taken in order to smoothly implement and use the technology without harming any individual.
    Jun 26, 2018 25
  • 26 Jun 2018
        Evolving technologies have always had a great impact on businesses because of how they can improve the existing process. Certain technologies offer great scope to take your business to the next level because they have the capacity to change the way you do your business. Artificial Intelligence is currently the most trending topic due to the opportunity it offers to benefit from its use. There is no other industry except the financial industry who is trying their best to adopt Artificial Intelligence for speed, accuracy and efficiency in business. Artificial Intelligence and Machine Learning offer a great deal in the finance industry through algorithms in the financial services. At the heart of the Artificial Intelligence are some of the algorithms which are self-learning and can help the finance industry if fed the right data. There are multiple fields in finance which can eventually benefit from the implementation of Artificial Intelligence and could prove to be of great value to the customer and the financial organization too. Let’s have a look at the areas in finance which will benefit from the introduction of Artificial Intelligence; Customized Financial Services Artificial Intelligence has expanded the range of offerings under the finance segment based on the customer preferences for financial spending. Data accumulated by AI suggests that there should be various customizations in finance based products and services because the spending pattern of customers differs in many ways. There are some customers who look for specific offerings from a bank and he/she should receive the optimum package based on the need and want. Reduction of cost in Finance through Artificial Intelligence We can all agree on this because AI has definitely brought the costs down in finance by providing multiple services at an affordable price. Now-a-days the services offered by banks are comparatively low on price which is good for a customer because there are various preferences when it comes to availing a certain service. AI has made is extremely convenient for the public to make use of the financial services. Fraud Detection Artificial Intelligence can proactively detect if a fraud is going to take place in a financial system or not. AI makes it a point to keep all things secure and take steps towards safety before any chances of fraud. Fraud detection through AI can help bankers to follow the policies and regulations while providing a financial service to an individual. AI is expanding the financial products portfolio by continuously understanding the human psychology. Less Human Intervention in Management There is no longer a need for specific personnel to answer questions about financial services which are being offered and how it can help the customer. Now AI processes data to solve queries and suggest the best service or solution for an individual. Human opinions are no longer needed to forecast the demand of financial services. Automation Important decisions in finance cannot be inaccurate and thus AI learns and studies huge amounts of data before automating certain feature to provide a customer with accurate information. AI safeguards all the areas of automation to deliver the best results to the customer by keeping their trust. Voice Assistance This feature allows the user to use banking services based on voice commands rather than touching your mobile phone or any other device. Through voice based banking feature, many queries of a customer can be answered by AI with maximum ease along with transactions and other information. Greater Insights AI can dig deeper to get better insights into the existing data and newer data to look for trends and patterns leading to delivery of a service to a customer. With ever increasing data, AI can efficiently look into the raw data to excavate important information. The Future Artificial Intelligence in finance is able to continuously learn and re-learn the existing data, patterns which affect the finance industry. AI provides a great scope in developing the current products and services and also provides an opportunity to develop these existing products in the portfolio. Artificial Intelligence can regularly study the market to know what the consumers are looking for and can provide them those services before anyone in the market.
    105 Posted by manohar parakh
  •     Evolving technologies have always had a great impact on businesses because of how they can improve the existing process. Certain technologies offer great scope to take your business to the next level because they have the capacity to change the way you do your business. Artificial Intelligence is currently the most trending topic due to the opportunity it offers to benefit from its use. There is no other industry except the financial industry who is trying their best to adopt Artificial Intelligence for speed, accuracy and efficiency in business. Artificial Intelligence and Machine Learning offer a great deal in the finance industry through algorithms in the financial services. At the heart of the Artificial Intelligence are some of the algorithms which are self-learning and can help the finance industry if fed the right data. There are multiple fields in finance which can eventually benefit from the implementation of Artificial Intelligence and could prove to be of great value to the customer and the financial organization too. Let’s have a look at the areas in finance which will benefit from the introduction of Artificial Intelligence; Customized Financial Services Artificial Intelligence has expanded the range of offerings under the finance segment based on the customer preferences for financial spending. Data accumulated by AI suggests that there should be various customizations in finance based products and services because the spending pattern of customers differs in many ways. There are some customers who look for specific offerings from a bank and he/she should receive the optimum package based on the need and want. Reduction of cost in Finance through Artificial Intelligence We can all agree on this because AI has definitely brought the costs down in finance by providing multiple services at an affordable price. Now-a-days the services offered by banks are comparatively low on price which is good for a customer because there are various preferences when it comes to availing a certain service. AI has made is extremely convenient for the public to make use of the financial services. Fraud Detection Artificial Intelligence can proactively detect if a fraud is going to take place in a financial system or not. AI makes it a point to keep all things secure and take steps towards safety before any chances of fraud. Fraud detection through AI can help bankers to follow the policies and regulations while providing a financial service to an individual. AI is expanding the financial products portfolio by continuously understanding the human psychology. Less Human Intervention in Management There is no longer a need for specific personnel to answer questions about financial services which are being offered and how it can help the customer. Now AI processes data to solve queries and suggest the best service or solution for an individual. Human opinions are no longer needed to forecast the demand of financial services. Automation Important decisions in finance cannot be inaccurate and thus AI learns and studies huge amounts of data before automating certain feature to provide a customer with accurate information. AI safeguards all the areas of automation to deliver the best results to the customer by keeping their trust. Voice Assistance This feature allows the user to use banking services based on voice commands rather than touching your mobile phone or any other device. Through voice based banking feature, many queries of a customer can be answered by AI with maximum ease along with transactions and other information. Greater Insights AI can dig deeper to get better insights into the existing data and newer data to look for trends and patterns leading to delivery of a service to a customer. With ever increasing data, AI can efficiently look into the raw data to excavate important information. The Future Artificial Intelligence in finance is able to continuously learn and re-learn the existing data, patterns which affect the finance industry. AI provides a great scope in developing the current products and services and also provides an opportunity to develop these existing products in the portfolio. Artificial Intelligence can regularly study the market to know what the consumers are looking for and can provide them those services before anyone in the market.
    Jun 26, 2018 105
  • 24 Jun 2018
    Few years back there was a time when people used to save their Microsoft office files on their CD-ROM, floppy disks or other portable storage. They then used to take the storage devices along with them as they traveled in order to access the data/information on other computer, and wait until they could actually retrieve and use the power point or word document. The scenario is no longer the same, Cloud Computing has replaced many portable storage devices. The success reason of Cloud computing is the security, flexibility and the ease-of-use the technology can provide. A survey released in 2016 by Forrester predicted that by 2020 public cloud market would grow to $236 bn. But in 2014, the 2020 estimate was only $191 billion and its 2011 forecast for 2020 was 20% lower.After looking at these predictions it has been noticed that cloud technology has become ubiquitous and a lot of organizations have already adopted it and there are a lot more enterprises and startups that are ready to adopt. This is also creating a huge number of career opportunities. The two key segments that have majorly benefited since the evolution of cloud technology are Business and Education. Business Cloud computing has definitely made a huge impact on most enterprises. Various cloud storage applications like Docs by Google, online storage space like Dropbox and many such other applications have enabled employees to execute multiple projects simultaneously using online storage space. And that has resulted in on-time delivery of work. When employees work from home these online storage applications sound very promising to work with. Thus increasing work efficiency with minimum utilization of the resource. Education Almost all educational foundations worldwide are aware of cloud computing potential and what the technology can cater. They have started taking benefits from the technology. Cloud computing has helped professors and students in a great way. After the advent of cloud students can watch lectures online, they can also submit their assignments without actually going to the universities. They can also study and apply for examinations from their homes effortlessly. In most developed countries, the concept of distance learning has evolved totally based on cloud computing technology, and students can take courses from any location. Here is an overview of some of the positive impacts of cloud computing on the educational sector across the world: •Portability: Earlier on lecturers used to have to carry a portable storage device like floppy drives, CD-ROMs or USB thumb drives around. That was done if they wanted to carry work from universities to their homes. But the current situation has changed completely, with the evolution of cloud computing, they are relieved of the carrying portable devices around, saving valuable files to them, preventing the files from being lost or remembering to bring them all together. •Access Anywhere, Anytime: Cloud technology has made sure that whatever your study plans maybe like daily lesson plans, news articles, notes related to subjects, sample question papers, grades and presentation materials are securely stored and easily accessible. You can download and distribute them too from any location at any instance of time. •Safety and Security: Educational sector and cloud computing might sound compatible now. But the big question is are all your files safe in the cloud? So the answer to this is, they are very much safe. Have you stored your files on any online storage applications like Dropbox or Docs application? Nobody can access your files, right? These online storage applications ask you for few details before you can access tour documents. And the very first step to access your documents is your login ID and password. So all documents, images, content, and information requires authentication. Hence your files are always safe. •Backup: Say if your home or school system has to crash someday, If you have files stored on the cloud, you can still access all the information because it’s all stored somewhere safe and sound waiting for you. •Easy shareability: Are you working on a project with other teammates? Do you think there should be a storage space where you could save all your data? Do you have the need to share some or all of your files? Using cloud you can get rid of the need to carry an extra thumb drive or burning another CD to storage information. You can just create a shareable link from and share the link with your teammates. Isn’t that really easy? •Trackability: Do you as a student need to make changes in your assignments or lessons? I am sure there are many times when you make changes and want to change it back? With cloud computing, there is no issue in rolling back your data. Cloud computing saves modifications and several versions of your document so that you can easily trace back the evolution of the files you wrote/modified. •Collaboration: Using cloud you can set-up numerous student groups for students who work on a project and assignments. •Good-bye to photocopying machines: You heard it right. It has been observed that with the advent of cloud computing, the amount of photo copying has reduced to a great extent– the reason is that every student has his/her own computer/laptop and some smart devices. Activities such as contests, examinations, and assignments can be taken, scored, shared with student/parents, and stored using on cloud. •Good-bye to file cabinets: The biggest benefit of using cloud in educational sector is its redundancy, and cloud disables the need of both saving files in some digital format as well as on the paper. Cloud computing also makes sure documents are backed-up on regular interval, hence reducing chances of losing important data. Also, there is no need of file cabinets. Cloud computing enables safe access of your valuable data from anywhere and at any time, which means if a student is sick and wishes to stay back home, they will still be able to keep up with the class material on regular basis. It has been proved that cloud is an essential and resourceful, I am sure once you try using cloud, there no going back. You will find manual storage doesn’t make sense.  
    19 Posted by manohar parakh
  • Few years back there was a time when people used to save their Microsoft office files on their CD-ROM, floppy disks or other portable storage. They then used to take the storage devices along with them as they traveled in order to access the data/information on other computer, and wait until they could actually retrieve and use the power point or word document. The scenario is no longer the same, Cloud Computing has replaced many portable storage devices. The success reason of Cloud computing is the security, flexibility and the ease-of-use the technology can provide. A survey released in 2016 by Forrester predicted that by 2020 public cloud market would grow to $236 bn. But in 2014, the 2020 estimate was only $191 billion and its 2011 forecast for 2020 was 20% lower.After looking at these predictions it has been noticed that cloud technology has become ubiquitous and a lot of organizations have already adopted it and there are a lot more enterprises and startups that are ready to adopt. This is also creating a huge number of career opportunities. The two key segments that have majorly benefited since the evolution of cloud technology are Business and Education. Business Cloud computing has definitely made a huge impact on most enterprises. Various cloud storage applications like Docs by Google, online storage space like Dropbox and many such other applications have enabled employees to execute multiple projects simultaneously using online storage space. And that has resulted in on-time delivery of work. When employees work from home these online storage applications sound very promising to work with. Thus increasing work efficiency with minimum utilization of the resource. Education Almost all educational foundations worldwide are aware of cloud computing potential and what the technology can cater. They have started taking benefits from the technology. Cloud computing has helped professors and students in a great way. After the advent of cloud students can watch lectures online, they can also submit their assignments without actually going to the universities. They can also study and apply for examinations from their homes effortlessly. In most developed countries, the concept of distance learning has evolved totally based on cloud computing technology, and students can take courses from any location. Here is an overview of some of the positive impacts of cloud computing on the educational sector across the world: •Portability: Earlier on lecturers used to have to carry a portable storage device like floppy drives, CD-ROMs or USB thumb drives around. That was done if they wanted to carry work from universities to their homes. But the current situation has changed completely, with the evolution of cloud computing, they are relieved of the carrying portable devices around, saving valuable files to them, preventing the files from being lost or remembering to bring them all together. •Access Anywhere, Anytime: Cloud technology has made sure that whatever your study plans maybe like daily lesson plans, news articles, notes related to subjects, sample question papers, grades and presentation materials are securely stored and easily accessible. You can download and distribute them too from any location at any instance of time. •Safety and Security: Educational sector and cloud computing might sound compatible now. But the big question is are all your files safe in the cloud? So the answer to this is, they are very much safe. Have you stored your files on any online storage applications like Dropbox or Docs application? Nobody can access your files, right? These online storage applications ask you for few details before you can access tour documents. And the very first step to access your documents is your login ID and password. So all documents, images, content, and information requires authentication. Hence your files are always safe. •Backup: Say if your home or school system has to crash someday, If you have files stored on the cloud, you can still access all the information because it’s all stored somewhere safe and sound waiting for you. •Easy shareability: Are you working on a project with other teammates? Do you think there should be a storage space where you could save all your data? Do you have the need to share some or all of your files? Using cloud you can get rid of the need to carry an extra thumb drive or burning another CD to storage information. You can just create a shareable link from and share the link with your teammates. Isn’t that really easy? •Trackability: Do you as a student need to make changes in your assignments or lessons? I am sure there are many times when you make changes and want to change it back? With cloud computing, there is no issue in rolling back your data. Cloud computing saves modifications and several versions of your document so that you can easily trace back the evolution of the files you wrote/modified. •Collaboration: Using cloud you can set-up numerous student groups for students who work on a project and assignments. •Good-bye to photocopying machines: You heard it right. It has been observed that with the advent of cloud computing, the amount of photo copying has reduced to a great extent– the reason is that every student has his/her own computer/laptop and some smart devices. Activities such as contests, examinations, and assignments can be taken, scored, shared with student/parents, and stored using on cloud. •Good-bye to file cabinets: The biggest benefit of using cloud in educational sector is its redundancy, and cloud disables the need of both saving files in some digital format as well as on the paper. Cloud computing also makes sure documents are backed-up on regular interval, hence reducing chances of losing important data. Also, there is no need of file cabinets. Cloud computing enables safe access of your valuable data from anywhere and at any time, which means if a student is sick and wishes to stay back home, they will still be able to keep up with the class material on regular basis. It has been proved that cloud is an essential and resourceful, I am sure once you try using cloud, there no going back. You will find manual storage doesn’t make sense.  
    Jun 24, 2018 19
  • 24 Jun 2018
    A Smart City is the one in which citizens live a smart and well-organized urban life with the help of information and communication technology (ICT) while maintaining sustainability and causing least harm to the environment. In details, means living smartly in a city which is planned smartly infrastructure-wise and where urban services are efficient and citizens can easily interact with the local bodies thus, playing a larger role in the city’s management. Smart City is a place where all the city’s systems like water management, waste management, healthcare, policing & governance, smart buildings, education, energy, etc. are managed in an optimal fashion that benefit the citizens, government and also the nature. Reduction in cost and resource consumption is integral to the ideal Smart City plan. And, all this is impossible without this offshoot of ICT – the IOT technology that can offer governing bodies with real-time solutions for above mentioned current urban challenges. What is IOT Internet of Things or IOT is basically a network of interconnected devices like sensors and smart devices that pass on information to each other and a supreme console via the internet. It is a way in which we interact with our belongings. All these devices generate data that is so humongous in amount that it will need hi-tech cloud applications to store, process and mine. This process is conducted by Big Data Analytics. Any smart city project will use big data to capture, store, process and analyze a large amount of data generated by several sources and to transform the data into useful knowledge that enables better decision-making process. How Big Data and IoT are being used in Traffic Management Traffic management is one of the biggest infrastructure hurdles faced by developing countries today. Developed countries and smart cities are already using IOT and Big Data to their advantage to minimize issues related to traffic. The culture of the car has been cultivated speedily among people in all types of nations. In a common scenario in most of the cities, people prefer riding their own vehicles no matter how good or bad the public transportation is or considering how much time and money is it going to take for them to reach a particular destination. Thus, increase in use of cars has caused immense amount of traffic congestion. Several countries are overcoming this traffic bottleneck by fetching information from CCTV feeds and transmitting vehicle related data to city traffic management centers to help in the smooth traffic run. Better-organized traffic system means better flow of vehicles on the road and it means no idling cars, buses and trucks in traffic jams. All this eventually translates to lower run times, proper utilization of natural resources (gas) and less pollution. Emittance of gases is the largest during stop-start driving that happens in spots where traffic is regulated by lights. Hence, if you go for smart traffic, this helps in pollution reduction throughout the entire city. However, smart traffic management also involves other factors like smart parking sensors, smart streetlights, smart highways and smart accident assistance amongst other things. Traffic lights Traffic lights that use real time data feed are being used to smooth traffic load. Sensors mounted at strategic places can use IOT technology to gather data about high traffic junctions and areas diverting vehicles from these places. Big Data can analyze this information further and figure out alternative routes as well as better traffic signaling to ease congestion. Meanwhile road-side lights can also work according to weather sensors mounted on them. Dimming of light happens not only as a part of day-night process but also when weather conditions turn murky. Roadside light sensors can pick up these signals and turn on and off accordingly. Smart Parking Parking has become an Achilles heel in the urban planning scenario. Lack of parking spaces as well as parallel parking has heightened traffic snarls at important junctions in cities. IOT-based sensors in parking lots can give out real time information of empty spots to cars approaching from a long distance looking for a parking space. Such sensors have already been installed in European cities like Paris, France as well as Kansas in US. They have all seen remarkable results with a double digit percentage reduction in parking issues observed in a span of a year. Smart Assistance Road accidents have been one of the top causes of deaths across the world. However, what adds to this gloomy number is untimely help and assistance to victims of such accidents. CCTVs and sensors on roads can help in locating accident spots and communicating these to the nearest Emergency Rooms. Once this communication is established in time, all else can be better handles. Challenges All pros become more quantifiable with cons. While IOT and Big Data present a path-breaking opportunity in Smart Traffic Management and Solutions, they also have some limitations. Firstly, current cities already suffer from infrastructure issues like road planning, zoning and other construction-related issues which could pose problems when implementing IOT technology. Secondly, all these fancy hi-tech solutions need high-speed data transfer techniques and thus, can work only in cities with great internet connectivity. If for any reason this connectivity is hampered the entire Smart City could fall apart. Thirdly, more number of devices accessing the central network means more opportunities for hackers to conduct their malicious tasks. An added layer of security apart from the usual one, and another one top of that will be needed to make an impenetrable hack-proof smart traffic solution. Data privacy will also have to be maintained looping in lawmakers and engineers. Conclusion Traffic is a crucial aspect that determines a city’s livability factor and efficiency status. Population surge will stop mattering if data and sensors are used capably to manage traffic. As smart cities evolve and increase in number in the coming years, IOT and Big Data will play a key role in the development and integration of their services and infrastructure. With passing time, other issues besides traffic like waste management, energy conservation, etc. will greatly benefit from the concept of IOT and Big Data.
    106 Posted by manohar parakh
  • A Smart City is the one in which citizens live a smart and well-organized urban life with the help of information and communication technology (ICT) while maintaining sustainability and causing least harm to the environment. In details, means living smartly in a city which is planned smartly infrastructure-wise and where urban services are efficient and citizens can easily interact with the local bodies thus, playing a larger role in the city’s management. Smart City is a place where all the city’s systems like water management, waste management, healthcare, policing & governance, smart buildings, education, energy, etc. are managed in an optimal fashion that benefit the citizens, government and also the nature. Reduction in cost and resource consumption is integral to the ideal Smart City plan. And, all this is impossible without this offshoot of ICT – the IOT technology that can offer governing bodies with real-time solutions for above mentioned current urban challenges. What is IOT Internet of Things or IOT is basically a network of interconnected devices like sensors and smart devices that pass on information to each other and a supreme console via the internet. It is a way in which we interact with our belongings. All these devices generate data that is so humongous in amount that it will need hi-tech cloud applications to store, process and mine. This process is conducted by Big Data Analytics. Any smart city project will use big data to capture, store, process and analyze a large amount of data generated by several sources and to transform the data into useful knowledge that enables better decision-making process. How Big Data and IoT are being used in Traffic Management Traffic management is one of the biggest infrastructure hurdles faced by developing countries today. Developed countries and smart cities are already using IOT and Big Data to their advantage to minimize issues related to traffic. The culture of the car has been cultivated speedily among people in all types of nations. In a common scenario in most of the cities, people prefer riding their own vehicles no matter how good or bad the public transportation is or considering how much time and money is it going to take for them to reach a particular destination. Thus, increase in use of cars has caused immense amount of traffic congestion. Several countries are overcoming this traffic bottleneck by fetching information from CCTV feeds and transmitting vehicle related data to city traffic management centers to help in the smooth traffic run. Better-organized traffic system means better flow of vehicles on the road and it means no idling cars, buses and trucks in traffic jams. All this eventually translates to lower run times, proper utilization of natural resources (gas) and less pollution. Emittance of gases is the largest during stop-start driving that happens in spots where traffic is regulated by lights. Hence, if you go for smart traffic, this helps in pollution reduction throughout the entire city. However, smart traffic management also involves other factors like smart parking sensors, smart streetlights, smart highways and smart accident assistance amongst other things. Traffic lights Traffic lights that use real time data feed are being used to smooth traffic load. Sensors mounted at strategic places can use IOT technology to gather data about high traffic junctions and areas diverting vehicles from these places. Big Data can analyze this information further and figure out alternative routes as well as better traffic signaling to ease congestion. Meanwhile road-side lights can also work according to weather sensors mounted on them. Dimming of light happens not only as a part of day-night process but also when weather conditions turn murky. Roadside light sensors can pick up these signals and turn on and off accordingly. Smart Parking Parking has become an Achilles heel in the urban planning scenario. Lack of parking spaces as well as parallel parking has heightened traffic snarls at important junctions in cities. IOT-based sensors in parking lots can give out real time information of empty spots to cars approaching from a long distance looking for a parking space. Such sensors have already been installed in European cities like Paris, France as well as Kansas in US. They have all seen remarkable results with a double digit percentage reduction in parking issues observed in a span of a year. Smart Assistance Road accidents have been one of the top causes of deaths across the world. However, what adds to this gloomy number is untimely help and assistance to victims of such accidents. CCTVs and sensors on roads can help in locating accident spots and communicating these to the nearest Emergency Rooms. Once this communication is established in time, all else can be better handles. Challenges All pros become more quantifiable with cons. While IOT and Big Data present a path-breaking opportunity in Smart Traffic Management and Solutions, they also have some limitations. Firstly, current cities already suffer from infrastructure issues like road planning, zoning and other construction-related issues which could pose problems when implementing IOT technology. Secondly, all these fancy hi-tech solutions need high-speed data transfer techniques and thus, can work only in cities with great internet connectivity. If for any reason this connectivity is hampered the entire Smart City could fall apart. Thirdly, more number of devices accessing the central network means more opportunities for hackers to conduct their malicious tasks. An added layer of security apart from the usual one, and another one top of that will be needed to make an impenetrable hack-proof smart traffic solution. Data privacy will also have to be maintained looping in lawmakers and engineers. Conclusion Traffic is a crucial aspect that determines a city’s livability factor and efficiency status. Population surge will stop mattering if data and sensors are used capably to manage traffic. As smart cities evolve and increase in number in the coming years, IOT and Big Data will play a key role in the development and integration of their services and infrastructure. With passing time, other issues besides traffic like waste management, energy conservation, etc. will greatly benefit from the concept of IOT and Big Data.
    Jun 24, 2018 106
  • 22 Jun 2018
    Banks are digitally transforming themselves at a fast pace with advanced branchless technology and contemporary services. The latest buzzword in the fintech industry are chatbots which have been adopted by almost all leading banks to make their customer service readily available to clients round the clock. So now, what is next? Big Data? But banks across the world are already using data analytics to upscale their business. Hover, tech experts believe that banks are still to realize the full potential of Big Data. While the BFSI sector creates enormous amount of data every second, is it able to mine this voluminous amount of information? May be it is time, say some. Big Data that is defined by volume of data, variety of data and velocity of processing the data presents big opportunities for financial institutions. Many of these have even transformed themselves with the help of data mining that eventually helps in quick, easy and apt decision making. While, banks have been slow in the adoption of this technology due to the confidential nature of its data, the trend is seeing a positive change. Let’s take a look at some advantages of deploying Big Data techniques in banking: Risk Management While all businesses need to engage in appropriate risk management, in banking industry this practice warrants extra attention. Big Data coupled with Business Intelligence can provide vital insights to banks on risks of approving loans to potential customers’ post evaluation of portfolios. Big Data can likewise help in early detection of fraud since it locates and presents data on a single scale making it simpler to mitigate the count of risks to a controllable number. While improving the projecting power of risk models, big data also lowers system response times and increases effectiveness. Also, along with wide risk coverage, analytics also cause vital cost savings by generating more automated processes and precise predictive systems and less failure risk. It can positively impact fraud management, credit management, loans management, operational risks, and integrated risk management. Compliance A heavy regulatory framework dictates the working of financial services so as to form a shield of protection against frauds and misuses. Big Data can play a crucial role in conforming adherence to regulations. It can identify and patch vulnerabilities, thereby strengthening and fortifying all materials of data governance and compliance. It can likewise help create baseline for ‘standard’ operations, which gives organizations a head begins in recognizing extortion and enables supervisors to spot consistence and administrative issues previously they turn into an issue. Customer Experienc American worldwide management consulting firm McKinsey Company says that marketing productivity can be boosted by 15-20 per cent if companies use data and Big Data to make better marketing decisions. From ‘Product is King’, BFSI strategies now focus on ‘Customer is King’ and it has become important to focus on what they need and expect from a bank and financial institutions. To understand this, just a few customer snapshots won’t make the deal, a data hub needs to be created with ALL information about the customer and his interaction with the brand like personal data, transaction history, browsing history, service, and so on. These customer insights generated by data-based analytics can empower the BFSI sector to segment customers and target them with appropriate material. Fraud Detection Banks also, monetary administrations can and are already using Big Data analytics to distinguish between fraudulent activities and genuine business transactions. investigation and machine learning can both help determine standard movement in view of a client's history and differentiate it from unordinary conduct demonstrating extortion. The investigation can also suggest remedial activities, for example, blocking crooked transactions, deriving from actions taken in past. It will not only stop misrepresentation before it happens but will also improve profitability. Employee Engagement What your employees feel about working in your company has a lot to do with what your end customers will experience. A higher level of satisfaction among employees will also extend to your customers and will push business growth. Big Data can help companies look at real-time data and not just annual reviews which are usually based on human memory. With the correct tools in place, companies can measure everything from individual performance, team work, inter-departmental interaction, and the overall company culture. When the data is related to customer metrics, it can also enable employees to spend less time on manual processes and more time on higher-level tasks. Challenge While there are many positives to making use of Big Data analytics in the BFSI sector, the huge amount of data that is being generated by a wide variety and number of sources poses a big challenge. A study says that, the digital universe is expected to reach 44 zettabytes (that's 44 trillion gigabytes) by 2020. Thus, imagine the amount of data that is going to be generated. Super software and computers will be needed to process such information that can halt legacy systems. Conclusion Once the sorting is done and useless data can be justifiable thrown out, the remaining crucial data can help banks grow from leaps to bounds. Besides, helping banks deliver better services to their customers, both internal and external, Big Data is also helping them improve on their active and passive security systems. Big Data is already playing a role in the banking sector with many banks and financial institutions capturing customer related data for sentiment analysis, starting from social media websites to various market research channels. Transactional analysis is being used to fathom spending patterns of customers, assess consumer behavior based on channel usage and consumption patterns and segment consumers depending upon the aforementioned attributes, and identify potential customers for selling financial products. Most of these findings can be applied easily into fiscal systems of banks aiding them reinforce data security and avoid any type of attack. A combination of many such transactional and sentimental gauges can help banks arrive at a holistic decision making approach and thereby implement erudite machinery, a need of the hour for the banking sector.
    140 Posted by manohar parakh
  • Banks are digitally transforming themselves at a fast pace with advanced branchless technology and contemporary services. The latest buzzword in the fintech industry are chatbots which have been adopted by almost all leading banks to make their customer service readily available to clients round the clock. So now, what is next? Big Data? But banks across the world are already using data analytics to upscale their business. Hover, tech experts believe that banks are still to realize the full potential of Big Data. While the BFSI sector creates enormous amount of data every second, is it able to mine this voluminous amount of information? May be it is time, say some. Big Data that is defined by volume of data, variety of data and velocity of processing the data presents big opportunities for financial institutions. Many of these have even transformed themselves with the help of data mining that eventually helps in quick, easy and apt decision making. While, banks have been slow in the adoption of this technology due to the confidential nature of its data, the trend is seeing a positive change. Let’s take a look at some advantages of deploying Big Data techniques in banking: Risk Management While all businesses need to engage in appropriate risk management, in banking industry this practice warrants extra attention. Big Data coupled with Business Intelligence can provide vital insights to banks on risks of approving loans to potential customers’ post evaluation of portfolios. Big Data can likewise help in early detection of fraud since it locates and presents data on a single scale making it simpler to mitigate the count of risks to a controllable number. While improving the projecting power of risk models, big data also lowers system response times and increases effectiveness. Also, along with wide risk coverage, analytics also cause vital cost savings by generating more automated processes and precise predictive systems and less failure risk. It can positively impact fraud management, credit management, loans management, operational risks, and integrated risk management. Compliance A heavy regulatory framework dictates the working of financial services so as to form a shield of protection against frauds and misuses. Big Data can play a crucial role in conforming adherence to regulations. It can identify and patch vulnerabilities, thereby strengthening and fortifying all materials of data governance and compliance. It can likewise help create baseline for ‘standard’ operations, which gives organizations a head begins in recognizing extortion and enables supervisors to spot consistence and administrative issues previously they turn into an issue. Customer Experienc American worldwide management consulting firm McKinsey Company says that marketing productivity can be boosted by 15-20 per cent if companies use data and Big Data to make better marketing decisions. From ‘Product is King’, BFSI strategies now focus on ‘Customer is King’ and it has become important to focus on what they need and expect from a bank and financial institutions. To understand this, just a few customer snapshots won’t make the deal, a data hub needs to be created with ALL information about the customer and his interaction with the brand like personal data, transaction history, browsing history, service, and so on. These customer insights generated by data-based analytics can empower the BFSI sector to segment customers and target them with appropriate material. Fraud Detection Banks also, monetary administrations can and are already using Big Data analytics to distinguish between fraudulent activities and genuine business transactions. investigation and machine learning can both help determine standard movement in view of a client's history and differentiate it from unordinary conduct demonstrating extortion. The investigation can also suggest remedial activities, for example, blocking crooked transactions, deriving from actions taken in past. It will not only stop misrepresentation before it happens but will also improve profitability. Employee Engagement What your employees feel about working in your company has a lot to do with what your end customers will experience. A higher level of satisfaction among employees will also extend to your customers and will push business growth. Big Data can help companies look at real-time data and not just annual reviews which are usually based on human memory. With the correct tools in place, companies can measure everything from individual performance, team work, inter-departmental interaction, and the overall company culture. When the data is related to customer metrics, it can also enable employees to spend less time on manual processes and more time on higher-level tasks. Challenge While there are many positives to making use of Big Data analytics in the BFSI sector, the huge amount of data that is being generated by a wide variety and number of sources poses a big challenge. A study says that, the digital universe is expected to reach 44 zettabytes (that's 44 trillion gigabytes) by 2020. Thus, imagine the amount of data that is going to be generated. Super software and computers will be needed to process such information that can halt legacy systems. Conclusion Once the sorting is done and useless data can be justifiable thrown out, the remaining crucial data can help banks grow from leaps to bounds. Besides, helping banks deliver better services to their customers, both internal and external, Big Data is also helping them improve on their active and passive security systems. Big Data is already playing a role in the banking sector with many banks and financial institutions capturing customer related data for sentiment analysis, starting from social media websites to various market research channels. Transactional analysis is being used to fathom spending patterns of customers, assess consumer behavior based on channel usage and consumption patterns and segment consumers depending upon the aforementioned attributes, and identify potential customers for selling financial products. Most of these findings can be applied easily into fiscal systems of banks aiding them reinforce data security and avoid any type of attack. A combination of many such transactional and sentimental gauges can help banks arrive at a holistic decision making approach and thereby implement erudite machinery, a need of the hour for the banking sector.
    Jun 22, 2018 140
  • 21 Jun 2018
    Gone are the days when marketing was dependent on traditional ways like pamphlets, TV ads, newspapers, magazines and flyers to reach out to the target audience. Since social media has taken over, connecting to our peers has never been so easy. There are multiple social media platforms which let you get in touch with people online. As technology upgrades, it paves way for many innovations and implementations of those technologies in real life scenarios. One such increasingly popular technology is Artificial Intelligence (AI), which is growing at a rapid pace and is being implemented by many. AI is no longer a farfetched science-fiction dream because now it can perform human-like tasks without any human intervention. It is a hot topic and every other industry is deploying it to reap the multitude benefits. The technology presents a bright future in the field of marketing because it can serve multiple customers in limited time with quality support. Why the need to introduce AI in Marketing? Uses of AI, which are beneficial for multiple businesses, brings us to AI in social media marketing. Lead generation is one of the important aspects of AI in marketing because it helps to collect data from various relevant sources which are directly connected to a business. AI can help nurture these leads to a much better degree. Let’s have a look at an example of AI on social media platforms: -One of the most popular examples of Artificial Intelligence in social media is the face filters in your camera which changes and adjusts according to your face, facial movements and sounds. Another example can be customer service bots which have been providing real-time support since the AOL Instant Messaging days. To understand the basic human psychology while surfing the internet, AI monitors various aspects of customer behavior like: -The time a user spends online-The webpages surfed and posts followed-Why the user is using social media platforms There is a great potential for success when you combine Social Media Marketing with Artificial Intelligence. Here are some areas which will benefit through AI: Analysis of data AI plays a very important role in the success of marketing campaigns through collection and analysis of data. The AI algorithms which are currently being used are very accurate and take many factors into consideration instead of data interpretation methods of yesterday. You can pin point your audience and then push all your marketing efforts towards them for optimum results with AI and AI-enables tools. Greater insights on CRM There is a huge amount of data hidden in emails and phone calls which goes for a toss if not mined properly for future use. With AI, one can find the right direction to look for such data which can be useful to initiate a successful conversation. With sufficient amounts of data, one can analyze a sentiment behind social media activity of a user. Targeting the right audience For a better personalized marketing, AI can smartly segregate customers for targeting the right kind of audience for right kind of product or service. AI can recognize which type of content (blogs, articles, and case studies) will help which type of audience. With relevant content, one will be able to attract the right customer. Serving customers We might not be at that stage where AI will answer all customer queries and solve their problems, but they can definitely make this process for customer service executives much easier. Many-a-times we see that customers comment on social media if they have a certain issue and thus, many major brands have started using AI to solve these queries and prioritize these concerns. AI can track the relevant profiles on social media to chat by filtering out fake, bots and spam profiles. Competitor Analysis Tracking competitors and their activity is an easy task for AI because it is one of the areas where AI has made good improvement. AI can strategically analyze the competitor’s social profile and track their activity in order to compare the online presence. AI will effectively run this analysis on your social profile too to get the perfect result while comparing with the competitors. This type of analysis will give a great advantage over your competitors to use the best techniques and strategies in the market. Conclusion Artificial Intelligence in social media marketing can prove to be a big advantage if used in the right way at the right place. AI offers many opportunities to marketers to showcase their abilities online in order to get maximum benefits out of the technology. AI will definitely bring more changes to e-marketing in the coming years and there will be multiple new ways to implement this technology in the field of marketing.
    25 Posted by manohar parakh
  • Gone are the days when marketing was dependent on traditional ways like pamphlets, TV ads, newspapers, magazines and flyers to reach out to the target audience. Since social media has taken over, connecting to our peers has never been so easy. There are multiple social media platforms which let you get in touch with people online. As technology upgrades, it paves way for many innovations and implementations of those technologies in real life scenarios. One such increasingly popular technology is Artificial Intelligence (AI), which is growing at a rapid pace and is being implemented by many. AI is no longer a farfetched science-fiction dream because now it can perform human-like tasks without any human intervention. It is a hot topic and every other industry is deploying it to reap the multitude benefits. The technology presents a bright future in the field of marketing because it can serve multiple customers in limited time with quality support. Why the need to introduce AI in Marketing? Uses of AI, which are beneficial for multiple businesses, brings us to AI in social media marketing. Lead generation is one of the important aspects of AI in marketing because it helps to collect data from various relevant sources which are directly connected to a business. AI can help nurture these leads to a much better degree. Let’s have a look at an example of AI on social media platforms: -One of the most popular examples of Artificial Intelligence in social media is the face filters in your camera which changes and adjusts according to your face, facial movements and sounds. Another example can be customer service bots which have been providing real-time support since the AOL Instant Messaging days. To understand the basic human psychology while surfing the internet, AI monitors various aspects of customer behavior like: -The time a user spends online-The webpages surfed and posts followed-Why the user is using social media platforms There is a great potential for success when you combine Social Media Marketing with Artificial Intelligence. Here are some areas which will benefit through AI: Analysis of data AI plays a very important role in the success of marketing campaigns through collection and analysis of data. The AI algorithms which are currently being used are very accurate and take many factors into consideration instead of data interpretation methods of yesterday. You can pin point your audience and then push all your marketing efforts towards them for optimum results with AI and AI-enables tools. Greater insights on CRM There is a huge amount of data hidden in emails and phone calls which goes for a toss if not mined properly for future use. With AI, one can find the right direction to look for such data which can be useful to initiate a successful conversation. With sufficient amounts of data, one can analyze a sentiment behind social media activity of a user. Targeting the right audience For a better personalized marketing, AI can smartly segregate customers for targeting the right kind of audience for right kind of product or service. AI can recognize which type of content (blogs, articles, and case studies) will help which type of audience. With relevant content, one will be able to attract the right customer. Serving customers We might not be at that stage where AI will answer all customer queries and solve their problems, but they can definitely make this process for customer service executives much easier. Many-a-times we see that customers comment on social media if they have a certain issue and thus, many major brands have started using AI to solve these queries and prioritize these concerns. AI can track the relevant profiles on social media to chat by filtering out fake, bots and spam profiles. Competitor Analysis Tracking competitors and their activity is an easy task for AI because it is one of the areas where AI has made good improvement. AI can strategically analyze the competitor’s social profile and track their activity in order to compare the online presence. AI will effectively run this analysis on your social profile too to get the perfect result while comparing with the competitors. This type of analysis will give a great advantage over your competitors to use the best techniques and strategies in the market. Conclusion Artificial Intelligence in social media marketing can prove to be a big advantage if used in the right way at the right place. AI offers many opportunities to marketers to showcase their abilities online in order to get maximum benefits out of the technology. AI will definitely bring more changes to e-marketing in the coming years and there will be multiple new ways to implement this technology in the field of marketing.
    Jun 21, 2018 25
  • 19 Jun 2018
    A chatbot is a text-based program empowered by Artificial Intelligence (AI) and Natural Learning Processes (NLP). A user generally interacts with the chatbot over a platform through a communication channel connected to a network. In other words, chatbots are bots that live in chat platforms. There are numerous kinds of bots present globally, and they all can perform various different tasks. The most common type of bot is the one offering customer services. So, according to a survey by Gartner, it is predicted that by 2020 an average person will converse with chatbots more than their spouse. Various new methods of customer engagement and development of enterprises have been created by conversational artificial intelligence. The AI enabled conversional bots have the potential of working 24*7, unlike human beings. With the of help this feature, enterprises have significantly reduced their response time and streamlined tasks in order to achieve the targets which ultimately helped them retain their customers. Bots also help businesses perform the same set of tasks multiple times in a cost-effective manner. Above mentioned are the primary reasons why chatbots are actively harnessed in different industry fields like banking sector and on e-commerce sites. Undoubtedly, chatbot provides a lot of advantages like bots are available 24*7 and act as a dedicated resource that offer customers with the services they actually need. Chatbots are known for enhancing brand value by providing instant customer service. A recent survey by Spiceworks suggested that by 2019 about 40 per cent of industries across Europe and America would implement AI-based chatbots at their workplaces. It is surprising to see how chatbots have recently evolved in the messenger industry. The evolution of conversional bot has given rise to a new way for people to collaborate with each other at workplaces. Here are a few reasons how any team can take advantages of chatbots at work: •Great user experience: Users these days can question their queries in a natural way and converse with bots as if they were talking to a co-worker; this is possible because chatbots use NLP technology. Say for example, if you are finding some information on the internet, it may take several steps and you may take hours to find the desired data. When you take help from a chatbot, it makes these steps redundant. •Shortening of research cycle: I am sure a lot of people have been waiting for a long time on the telephone hotline for customer representatives to solve their queries. Many of them would like to switch this experience for a chat with bots. Chatbots respond quickly and have the ability to find large amount of information that customers need. This allows delivery of appropriate results in comparatively less time. •Creating a personal customer experience: Did you know bots are experts at generating a great user experience. There are some bots that would provide a different answer for each question users ask. There are a set of bots that are not rule-based and basically, they use AI techniques and learn with every user interaction. This ultimately creates a positive and customer-centric brand image for you. •Bots can operate 24*7: The biggest benefit of deploying chatbots is their availability. Technology giants like Amazon have already set up high customer service expectations, may it be delivery of products/service on the very next day or their quickest response to customer queries. All this is possible with the help of chatbots that are available constantly all day and night, even in absence of employees. The AI-enabled bot can take care of all types of communication — no matter what time of day, even on weekends. •Enabling human-independent interaction: AI, globally, has the potential of providing a meaningful communication facility between a user and the service providers. Numerous call centers these days provide AI-supported conversational services that carry out much more meaningful discussions and make sure unwanted calls are avoided during peak hours of service. AI-based bots not only provide simplified customer experience, but also an improved employee experience. Chatbots these days have become a mainstream must have. They are capable of providing a lot of benefits such as efficient lead generation, engagement of various prospect, and an enhancing brand value. We all are well aware of chatbots storytelling ability and how scalable it is. They can be programmed in a way that is needed. Chatbots help build conversation paths based on logical conversations and goals-based outcomes which is much needed by corporates and organizations.
    25 Posted by manohar parakh
  • A chatbot is a text-based program empowered by Artificial Intelligence (AI) and Natural Learning Processes (NLP). A user generally interacts with the chatbot over a platform through a communication channel connected to a network. In other words, chatbots are bots that live in chat platforms. There are numerous kinds of bots present globally, and they all can perform various different tasks. The most common type of bot is the one offering customer services. So, according to a survey by Gartner, it is predicted that by 2020 an average person will converse with chatbots more than their spouse. Various new methods of customer engagement and development of enterprises have been created by conversational artificial intelligence. The AI enabled conversional bots have the potential of working 24*7, unlike human beings. With the of help this feature, enterprises have significantly reduced their response time and streamlined tasks in order to achieve the targets which ultimately helped them retain their customers. Bots also help businesses perform the same set of tasks multiple times in a cost-effective manner. Above mentioned are the primary reasons why chatbots are actively harnessed in different industry fields like banking sector and on e-commerce sites. Undoubtedly, chatbot provides a lot of advantages like bots are available 24*7 and act as a dedicated resource that offer customers with the services they actually need. Chatbots are known for enhancing brand value by providing instant customer service. A recent survey by Spiceworks suggested that by 2019 about 40 per cent of industries across Europe and America would implement AI-based chatbots at their workplaces. It is surprising to see how chatbots have recently evolved in the messenger industry. The evolution of conversional bot has given rise to a new way for people to collaborate with each other at workplaces. Here are a few reasons how any team can take advantages of chatbots at work: •Great user experience: Users these days can question their queries in a natural way and converse with bots as if they were talking to a co-worker; this is possible because chatbots use NLP technology. Say for example, if you are finding some information on the internet, it may take several steps and you may take hours to find the desired data. When you take help from a chatbot, it makes these steps redundant. •Shortening of research cycle: I am sure a lot of people have been waiting for a long time on the telephone hotline for customer representatives to solve their queries. Many of them would like to switch this experience for a chat with bots. Chatbots respond quickly and have the ability to find large amount of information that customers need. This allows delivery of appropriate results in comparatively less time. •Creating a personal customer experience: Did you know bots are experts at generating a great user experience. There are some bots that would provide a different answer for each question users ask. There are a set of bots that are not rule-based and basically, they use AI techniques and learn with every user interaction. This ultimately creates a positive and customer-centric brand image for you. •Bots can operate 24*7: The biggest benefit of deploying chatbots is their availability. Technology giants like Amazon have already set up high customer service expectations, may it be delivery of products/service on the very next day or their quickest response to customer queries. All this is possible with the help of chatbots that are available constantly all day and night, even in absence of employees. The AI-enabled bot can take care of all types of communication — no matter what time of day, even on weekends. •Enabling human-independent interaction: AI, globally, has the potential of providing a meaningful communication facility between a user and the service providers. Numerous call centers these days provide AI-supported conversational services that carry out much more meaningful discussions and make sure unwanted calls are avoided during peak hours of service. AI-based bots not only provide simplified customer experience, but also an improved employee experience. Chatbots these days have become a mainstream must have. They are capable of providing a lot of benefits such as efficient lead generation, engagement of various prospect, and an enhancing brand value. We all are well aware of chatbots storytelling ability and how scalable it is. They can be programmed in a way that is needed. Chatbots help build conversation paths based on logical conversations and goals-based outcomes which is much needed by corporates and organizations.
    Jun 19, 2018 25
  • 15 Jun 2018
    From the last 3-4 years we are reading news like ‘XYZ bank deploys Core Banking Solutions ’,’Bank ABC is implementing Core Banking System ’ etc.But what exactly core banking is? Core Banking Solution (CBS) is networking of bank branches, which allows customers to manage  their accounts, and use various banking facilities from  any part of the world. In simple term, there is no need to visit your own branch to do banking transactions. You can do it from any location ,any time. You can enjoy banking services from any branch of the bank which is on CBS network regardless of branch you have opened your account. For the bank which implements CBS , the customer becomes the bank’s customer instead of customer of particular branch. Execution of Core banking system across all branches  helps to speed up most of the common transactions of bank and customer. In Core banking , the all branches access banking applications from centralized server which is hosted in secured datacenter. Banking software/application performs basic operations like maintaining transactions, balance of withdrawal & payment, interest  calculations on deposits & loans etc. This banking applications are deployed on centralized server & can be accessed using internet from any location. Why we need Core Banking Technology? Nowadays, the use of Information Technology (IT) is must for the survival & growth of any organization and same applicable to banking industry also. By using IT in any industry, banks can minimize the operation cost; also banks can offer products & services to customers at competitive rates. CBS is required: To meet the dynamically changing market & customer needs. To improve & simplify  banking processes so that bank staff can focus on sales & marketing stuff. Convenience to customer as well as bank. To  Speed up the banking transactions. To expand presence in rural & remote areas. Basic elements of CBS that helps customers are: Internet Banking Mobile Banking ATM POS & kiosk systems Fund Transfers – NEFT, RTGS Benefits of Core banking –  Core banking solutions are beneficial to both banks as well as customers. A] Benefits For Customers Quicker services at the bank counters for routine transactions like cash deposits, withdrawal, passbooks,  statement of accounts, demand drafts etc. Anywhere banking by eliminating branch banking. Provision of banking services 24 X 7. Fast payment processing through Internet banking, mobile banking . Anytime any where banking through ATMs. All branches access applications from central servers/datacenter , so deposits made in any branch reflects  immediately and customer can withdraw money from any other branch throughout the world. CBS is very helpful to people living in rural areas. The farmers can receive e-payments towards subsidy etc. in his account directly. Transfer of funds from the cities to the villages and vice versa will be done easily . B] Benefits For Banks Process standardization within bank & branches. Retention of customers through better customer service. Accuracy in transactions & minimization of errors. Improved management  of documentation & records – having centralized databases results in quick gathering of data & MIS reports. Ease in submission of various reports to the Government & Regulatory boards like RBI. Convenience in opening accounts, processing cash, servicing loans, calculating interest, implementing change in policies like changing interest rates etc.. In India most of the private sector banks have implemented the Core banking solutions but most of the Co-operative Bank, Regional Rural Banks are missing the benefits of CBS. With the help of core banking & latest technology, private sector banks are giving tough competition to urban co-operative banks(UCBs) & other government managed banks. To cope up with the growing needs of customers; co-operative banks need to implement core banking solutions. To face the challenges of dynamic market , UCBs need to take help of IT their operations . Considering the importance of the matter, the Reserve Bank of India (RBI)   mandated a deadline for Urban Co-operative Banks (UCBs) and advised to implement the core banking solutions (CBS) by December 31, 2013. In India many IT organizations like ESDS Software are helping in implementation of the cost effective  core banking solutions & Turn-Key Datacenter solutions.
    30 Posted by manohar parakh
  • From the last 3-4 years we are reading news like ‘XYZ bank deploys Core Banking Solutions ’,’Bank ABC is implementing Core Banking System ’ etc.But what exactly core banking is? Core Banking Solution (CBS) is networking of bank branches, which allows customers to manage  their accounts, and use various banking facilities from  any part of the world. In simple term, there is no need to visit your own branch to do banking transactions. You can do it from any location ,any time. You can enjoy banking services from any branch of the bank which is on CBS network regardless of branch you have opened your account. For the bank which implements CBS , the customer becomes the bank’s customer instead of customer of particular branch. Execution of Core banking system across all branches  helps to speed up most of the common transactions of bank and customer. In Core banking , the all branches access banking applications from centralized server which is hosted in secured datacenter. Banking software/application performs basic operations like maintaining transactions, balance of withdrawal & payment, interest  calculations on deposits & loans etc. This banking applications are deployed on centralized server & can be accessed using internet from any location. Why we need Core Banking Technology? Nowadays, the use of Information Technology (IT) is must for the survival & growth of any organization and same applicable to banking industry also. By using IT in any industry, banks can minimize the operation cost; also banks can offer products & services to customers at competitive rates. CBS is required: To meet the dynamically changing market & customer needs. To improve & simplify  banking processes so that bank staff can focus on sales & marketing stuff. Convenience to customer as well as bank. To  Speed up the banking transactions. To expand presence in rural & remote areas. Basic elements of CBS that helps customers are: Internet Banking Mobile Banking ATM POS & kiosk systems Fund Transfers – NEFT, RTGS Benefits of Core banking –  Core banking solutions are beneficial to both banks as well as customers. A] Benefits For Customers Quicker services at the bank counters for routine transactions like cash deposits, withdrawal, passbooks,  statement of accounts, demand drafts etc. Anywhere banking by eliminating branch banking. Provision of banking services 24 X 7. Fast payment processing through Internet banking, mobile banking . Anytime any where banking through ATMs. All branches access applications from central servers/datacenter , so deposits made in any branch reflects  immediately and customer can withdraw money from any other branch throughout the world. CBS is very helpful to people living in rural areas. The farmers can receive e-payments towards subsidy etc. in his account directly. Transfer of funds from the cities to the villages and vice versa will be done easily . B] Benefits For Banks Process standardization within bank & branches. Retention of customers through better customer service. Accuracy in transactions & minimization of errors. Improved management  of documentation & records – having centralized databases results in quick gathering of data & MIS reports. Ease in submission of various reports to the Government & Regulatory boards like RBI. Convenience in opening accounts, processing cash, servicing loans, calculating interest, implementing change in policies like changing interest rates etc.. In India most of the private sector banks have implemented the Core banking solutions but most of the Co-operative Bank, Regional Rural Banks are missing the benefits of CBS. With the help of core banking & latest technology, private sector banks are giving tough competition to urban co-operative banks(UCBs) & other government managed banks. To cope up with the growing needs of customers; co-operative banks need to implement core banking solutions. To face the challenges of dynamic market , UCBs need to take help of IT their operations . Considering the importance of the matter, the Reserve Bank of India (RBI)   mandated a deadline for Urban Co-operative Banks (UCBs) and advised to implement the core banking solutions (CBS) by December 31, 2013. In India many IT organizations like ESDS Software are helping in implementation of the cost effective  core banking solutions & Turn-Key Datacenter solutions.
    Jun 15, 2018 30
  • 12 Jun 2018
    Today, the term Smart Technology has changed surreptitiously from being a technology that operates with its own predefined parameters requiring minimum interference to something that also enables green IT and environment protection. Most of this smart technology is driven by Internet of Things which are devices that help us interact with our belongings like digital sensors, home appliances and wearable smart devices. According to several analysts, while we still need to develop technology responsibly, a time will come when technology and environmental sustainability will go hand in hand with a need to develop interdependently. When the concept of IoT was coined, it came with the idea of billions of devices that were needed to sense and collate data to enable smart decision. These devices needed energy of their own and it was expected to impact the environment as well. However, further analysis made it clear that the benefits derived from these IoT devices and the overall technology will actually help promote a greener world. It is said that even the amalgamation of these billions of devices will only add a few power stations on the face of this earth; many will also be built on the self-powered formula with solar, hydro or other energy generation methods. Let us have a peek at some of these IoT technologies that can actually further reduce negative environmental impact and the corresponding carbon footprints: 1.Smart Structures: A smart structure is the one that helps its occupants and stakeholders interact with the building via a smart power grid wherein they can automatically control the environment and features of the structure like ventilation, heating, lighting security, etc. So in case the building is sparsely populated in the afternoons on weekdays, heating, lighting and water supply can be automatically reduced. Similarly, in case of energy or resource wastage like water leaks, the devices can instantly update the maintenance crews. These smart automated decisions make such smart buildings around the world a boon for environmental conservation. 2.Smart Farming: Agricultural industry around the world has faced the repercussions of environmental degradation like no other. While agri-tech is trying to do its job, inclusion of IoT in farming is changing the very nature of fields. Sensors are not only helping farmers to reduce waste but to also plan their farming activities better for utmost output from the least amount of resources. So for example, when the weather is about to turn too dry that the crops’ yield could be damaged, sprinklers start automatically or with approval of the farmer. Similarly, when the moisture level in the soil is optimum the amount of water used to hydrate the crops is reduced saving both power and water. 3.Smart Sensors: Sophisticated sensors which can be mounted or can be carried around can eventually help in reducing pollution levels. These sensors measure the air quality and alert their users through apps about areas that they should avoid. But besides this, they also raise awareness about high emissions and zones that need rapt attention by authorities as well as the public in general. Motor traffic in these areas can be reduced on days when the emissions are too high and more measures can be ensued. 4.Smart Factories: Responsive, adaptive and connected manufacturing process is a flat-out answer to those smoke-emitting and waste-producing factories of the past.  The supply chain has digitally transformed off late shifting from linear operations to an interconnected system buoyed by constant stream of data. This type of integration can not only raise productivity and reduce defective products, but it can also help utilize resources in the best possible manner. 5.Smart Data Processing: While devices are only one component of the ‘things’, the sheer volumes of data produced, transmitted, stored and processed is another energy-consuming ballgame. However, with advent of cloud technology, this can also be kept in check. Moreover, tech giants who have such energy-efficient data centers are taking massive steps to reduce their carbon footprints. They are all trying to improve their green credentials by investing highly into renewables. Thus, it is now possible to determine whether the highly connected lives via IoT are really green or not. The Global e-Sustainability Initiative (GeSI), an international consortium of tech companies and telcos, in 2015, released its #SMARTer2030 report, which suggests that ICT, including the IoT, will be able to save almost 10 times the carbon dioxide emissions that it generates by 2030 through reduced travel, smart buildings and greater efficiencies in manufacturing and agriculture.
    54 Posted by manohar parakh
  • Today, the term Smart Technology has changed surreptitiously from being a technology that operates with its own predefined parameters requiring minimum interference to something that also enables green IT and environment protection. Most of this smart technology is driven by Internet of Things which are devices that help us interact with our belongings like digital sensors, home appliances and wearable smart devices. According to several analysts, while we still need to develop technology responsibly, a time will come when technology and environmental sustainability will go hand in hand with a need to develop interdependently. When the concept of IoT was coined, it came with the idea of billions of devices that were needed to sense and collate data to enable smart decision. These devices needed energy of their own and it was expected to impact the environment as well. However, further analysis made it clear that the benefits derived from these IoT devices and the overall technology will actually help promote a greener world. It is said that even the amalgamation of these billions of devices will only add a few power stations on the face of this earth; many will also be built on the self-powered formula with solar, hydro or other energy generation methods. Let us have a peek at some of these IoT technologies that can actually further reduce negative environmental impact and the corresponding carbon footprints: 1.Smart Structures: A smart structure is the one that helps its occupants and stakeholders interact with the building via a smart power grid wherein they can automatically control the environment and features of the structure like ventilation, heating, lighting security, etc. So in case the building is sparsely populated in the afternoons on weekdays, heating, lighting and water supply can be automatically reduced. Similarly, in case of energy or resource wastage like water leaks, the devices can instantly update the maintenance crews. These smart automated decisions make such smart buildings around the world a boon for environmental conservation. 2.Smart Farming: Agricultural industry around the world has faced the repercussions of environmental degradation like no other. While agri-tech is trying to do its job, inclusion of IoT in farming is changing the very nature of fields. Sensors are not only helping farmers to reduce waste but to also plan their farming activities better for utmost output from the least amount of resources. So for example, when the weather is about to turn too dry that the crops’ yield could be damaged, sprinklers start automatically or with approval of the farmer. Similarly, when the moisture level in the soil is optimum the amount of water used to hydrate the crops is reduced saving both power and water. 3.Smart Sensors: Sophisticated sensors which can be mounted or can be carried around can eventually help in reducing pollution levels. These sensors measure the air quality and alert their users through apps about areas that they should avoid. But besides this, they also raise awareness about high emissions and zones that need rapt attention by authorities as well as the public in general. Motor traffic in these areas can be reduced on days when the emissions are too high and more measures can be ensued. 4.Smart Factories: Responsive, adaptive and connected manufacturing process is a flat-out answer to those smoke-emitting and waste-producing factories of the past.  The supply chain has digitally transformed off late shifting from linear operations to an interconnected system buoyed by constant stream of data. This type of integration can not only raise productivity and reduce defective products, but it can also help utilize resources in the best possible manner. 5.Smart Data Processing: While devices are only one component of the ‘things’, the sheer volumes of data produced, transmitted, stored and processed is another energy-consuming ballgame. However, with advent of cloud technology, this can also be kept in check. Moreover, tech giants who have such energy-efficient data centers are taking massive steps to reduce their carbon footprints. They are all trying to improve their green credentials by investing highly into renewables. Thus, it is now possible to determine whether the highly connected lives via IoT are really green or not. The Global e-Sustainability Initiative (GeSI), an international consortium of tech companies and telcos, in 2015, released its #SMARTer2030 report, which suggests that ICT, including the IoT, will be able to save almost 10 times the carbon dioxide emissions that it generates by 2030 through reduced travel, smart buildings and greater efficiencies in manufacturing and agriculture.
    Jun 12, 2018 54
  • 11 Jun 2018
    A few months back everything was in the ‘cloud’ but the buzzword these days is ‘Fog Computing’ and it is related to how efficiently data is being stored and accessed. Basically, cloud computing is the ability to store and retrieve data from an off-site location. Cloud computing is a major reason how the traditional phones got smart. Our phones don’t have a lot of built in space in order to store information that is needed to access applications and services. All the data is being transmitted to and from the cloud in order to provide the services we need. But there is a problem with cloud computing technology, it’s the limitation of bandwidth. A report by World Economic Forum (WEF) predicted that U.S. ranks 35th in the world for bandwidth per user, this is a serious issue if you’re trying to transmit data wirelessly. The idea of Fog Computing attempts to beat some of these physical limitations. With Fog Computing technology, all the processing happens on devices physically closer to where the data has been collected, instead of sending data to the cloud. With the evolution of Internet of Things, more and more physical objects (devices) are being added to the network and they all are connected wirelessly to transmit and receive data. Fog Computing is also called as Edge Computing. It is supposed to resolve problems by storing data close to the ‘ground’. In other words it stores data in local computers and storage devices, rather than routing all the information through a centralized DC in the cloud. Fog or Edge Computing is a prototype campaigned by few of the leading IoT technology players such as Cisco, IBM and Dell. They are pioneers of representing the change in architecture wherein intelligence is pushed to edge from cloud. Basically, fog computing is responsible for enabling quick response time, reduces network latency and traffic and also supports backbone bandwidth savings to achieve better quality of service (QoS). It is also supposed to selectively relay applicable data to the cloud. IDC predicts that by the end of 2025 about 45 per cent of world’s data would be moved closer to the network edge. It is believed that fog computing is the only technology that can withstand AI, 5G and IoT in the years to come. Another study by IDC estimates that by 2020, 10 per cent of the world’s data will be produced by edge devices. This will drive the need for more efficient fog computing solutions that could provide reduced latency. So what’s the main difference between Edge computing and Fog computing? Cisco coined the term ‘fog computing’ and IBM calls it ‘edge computing’. Basically, edge computing is a subset of fog computing. It simply refers to data being processed close to where it is originated. Fog computing lets data to be processed and accessed well and more rapidly, which reduces the risk of data latency. A brilliant use case for fog computing is the smart traffic light system, that has the capability of preventing accidents and deduce traffic congestion by changing its signals based on surveillance of incoming traffic. Also, this data is sent for further analysis to the clouds. The growth of fog computing frameworks provides much more choices to organizations for processing information and data where ever it is appropriate. There are certain applications, where data may need to be processed as quickly as possible – for example, in a manufacturing industry where all the machines connected in a network need to be able to react to an incident as soon as possible. Fog computing helps create low-latency network connections between devices and their analytics end points. This architecture in turn reduces the amount of bandwidth needed as compared to cloud. It can also be used in scenarios where there is no bandwidth connection needed to transfer data. Hence, data is processed close to where it is originated. An added benefit is advanced security features that can be applied by users in a fog network, right from segmentation of network traffic to virtually extending firewalls to protect the network. It would be wise for any enterprise relying on someone else’s data center for storing their data to consider fog computing which is an emerging trend. They should also figure out how their businesses might get affected if they continue using traditional ways to store data in the days to come due to lack of bandwidth to access the data.
    35 Posted by manohar parakh
  • A few months back everything was in the ‘cloud’ but the buzzword these days is ‘Fog Computing’ and it is related to how efficiently data is being stored and accessed. Basically, cloud computing is the ability to store and retrieve data from an off-site location. Cloud computing is a major reason how the traditional phones got smart. Our phones don’t have a lot of built in space in order to store information that is needed to access applications and services. All the data is being transmitted to and from the cloud in order to provide the services we need. But there is a problem with cloud computing technology, it’s the limitation of bandwidth. A report by World Economic Forum (WEF) predicted that U.S. ranks 35th in the world for bandwidth per user, this is a serious issue if you’re trying to transmit data wirelessly. The idea of Fog Computing attempts to beat some of these physical limitations. With Fog Computing technology, all the processing happens on devices physically closer to where the data has been collected, instead of sending data to the cloud. With the evolution of Internet of Things, more and more physical objects (devices) are being added to the network and they all are connected wirelessly to transmit and receive data. Fog Computing is also called as Edge Computing. It is supposed to resolve problems by storing data close to the ‘ground’. In other words it stores data in local computers and storage devices, rather than routing all the information through a centralized DC in the cloud. Fog or Edge Computing is a prototype campaigned by few of the leading IoT technology players such as Cisco, IBM and Dell. They are pioneers of representing the change in architecture wherein intelligence is pushed to edge from cloud. Basically, fog computing is responsible for enabling quick response time, reduces network latency and traffic and also supports backbone bandwidth savings to achieve better quality of service (QoS). It is also supposed to selectively relay applicable data to the cloud. IDC predicts that by the end of 2025 about 45 per cent of world’s data would be moved closer to the network edge. It is believed that fog computing is the only technology that can withstand AI, 5G and IoT in the years to come. Another study by IDC estimates that by 2020, 10 per cent of the world’s data will be produced by edge devices. This will drive the need for more efficient fog computing solutions that could provide reduced latency. So what’s the main difference between Edge computing and Fog computing? Cisco coined the term ‘fog computing’ and IBM calls it ‘edge computing’. Basically, edge computing is a subset of fog computing. It simply refers to data being processed close to where it is originated. Fog computing lets data to be processed and accessed well and more rapidly, which reduces the risk of data latency. A brilliant use case for fog computing is the smart traffic light system, that has the capability of preventing accidents and deduce traffic congestion by changing its signals based on surveillance of incoming traffic. Also, this data is sent for further analysis to the clouds. The growth of fog computing frameworks provides much more choices to organizations for processing information and data where ever it is appropriate. There are certain applications, where data may need to be processed as quickly as possible – for example, in a manufacturing industry where all the machines connected in a network need to be able to react to an incident as soon as possible. Fog computing helps create low-latency network connections between devices and their analytics end points. This architecture in turn reduces the amount of bandwidth needed as compared to cloud. It can also be used in scenarios where there is no bandwidth connection needed to transfer data. Hence, data is processed close to where it is originated. An added benefit is advanced security features that can be applied by users in a fog network, right from segmentation of network traffic to virtually extending firewalls to protect the network. It would be wise for any enterprise relying on someone else’s data center for storing their data to consider fog computing which is an emerging trend. They should also figure out how their businesses might get affected if they continue using traditional ways to store data in the days to come due to lack of bandwidth to access the data.
    Jun 11, 2018 35
  • 04 Jun 2018
      Cloud environments are regularly touted as providing 100% guaranteed uptime, making them amongst the most reliable services available in the web hosting industry. Although dedicated servers have been able to provide similar uptime rates for a long time now, this hasn’t been without its cost and what has made the cloud popular is its relative affordability in comparison. With all this considered, you’re probably wondering what ingredients go into the cloud to make it as reliable as it is, well read on to find out. The support of multiple servers A cloud environment is comprised of multiple servers that are controlled by a common piece of software known as a ‘hypervisor’. Rather than running an operating system such as Windows or Linux, the hardware underpinning the cloud is based on this hypervisor software so that it has direct access to the hardware on the server and therefore better control; running virtualisation software on top of an existing operating system can sometimes cause compatibility and permissions issues. With all of these servers being controlled by central servers and running a common piece of software, all resources are virtually pooled and the cloud is treated as a single entity rather than as a collection of individual servers. Virtual machines in the cloud can be transported across the cloud as dictated by server availability; if one server fails, the VMs hosted on that server can be moved over to another server almost instantaneously so that users don’t experience any disruption to their service. A central SAN, or Storage Area Network, which is basically a large collection of hard drives hosted in a network-connected appliance, usually managed storage in the cloud. The central storage architecture contributes to the ease of transporting VMs across servers since all data is stored here so when a virtual machine is migrated to another server, the VM’s actual data doesn’t need to be moved. All this aids the reliability of the cloud by providing an environment that is resilient against hardware failure. Network and power redundancy To accompany the multiple servers that power a cloud environment, network and power redundancy also assist in providing a service that is capable of achieving 100% uptime. Network redundancy is fundamental in allowing external access to websites and servers that are hosted in the cloud and you will be hard done by to find an ISP or data centre provider that hosts its servers on a single connection. In the case of our cloud, you will find that your virtual machines will be hosted on a cloud in a data centre that utilises multiple Internet connections so that if the primary connection does fail, you will still have full access to your cloud servers. N+1 redundancy has also been used in the design of internal networks; if you imagine N = a piece of networking hardware, +1 is the exact same piece of hardware. Network item N is the primary piece of hardware that is in use, whilst +1 is a backup that is available for the network to fallback onto in the event of the failure of the primary networking appliance. Power redundancy is just as important as networking redundancy. If the power to the hardware in the cloud fails then in any place other than a data centre, this would result in the entire environment crashing because it has no electricity to run it. However, in a professional data centre a cloud will be running off multiple power feeds. As is the case with network redundancy, multiple power feeds have been used so that in the event that the primary power feed is cut off, electricity can still be supplied from other sources. Other typical power redundancy measures taken include UPS (Uninterruptable Power Supply) batteries and diesel generators that can provide power for the short-term in case of a complete blackout. The support All server hardware needs to be professionally maintained if it is to remain operational. And the cloud is no exception to this rule; indeed having professional support engineers available around the clock is one of the core pillars of a reliable cloud environment. In the case of our cloud services, we provide full 24×7 support so that we are on hand to deal with any issues in the cloud the moment that they are discovered. Similarly as your package includes this full support, you can call on us to help you with any issue at any time of day so that you can get the most out of your cloud servers. It doesn’t matter whether hardware needs replacing, or software needs installing or updating, support engineers are the only people who have the technical knowhow to achieve these things and the chances are that the cloud would simply grind to a halt if such tasks weren’t performed on a regular basis.
    48 Posted by manohar parakh
  •   Cloud environments are regularly touted as providing 100% guaranteed uptime, making them amongst the most reliable services available in the web hosting industry. Although dedicated servers have been able to provide similar uptime rates for a long time now, this hasn’t been without its cost and what has made the cloud popular is its relative affordability in comparison. With all this considered, you’re probably wondering what ingredients go into the cloud to make it as reliable as it is, well read on to find out. The support of multiple servers A cloud environment is comprised of multiple servers that are controlled by a common piece of software known as a ‘hypervisor’. Rather than running an operating system such as Windows or Linux, the hardware underpinning the cloud is based on this hypervisor software so that it has direct access to the hardware on the server and therefore better control; running virtualisation software on top of an existing operating system can sometimes cause compatibility and permissions issues. With all of these servers being controlled by central servers and running a common piece of software, all resources are virtually pooled and the cloud is treated as a single entity rather than as a collection of individual servers. Virtual machines in the cloud can be transported across the cloud as dictated by server availability; if one server fails, the VMs hosted on that server can be moved over to another server almost instantaneously so that users don’t experience any disruption to their service. A central SAN, or Storage Area Network, which is basically a large collection of hard drives hosted in a network-connected appliance, usually managed storage in the cloud. The central storage architecture contributes to the ease of transporting VMs across servers since all data is stored here so when a virtual machine is migrated to another server, the VM’s actual data doesn’t need to be moved. All this aids the reliability of the cloud by providing an environment that is resilient against hardware failure. Network and power redundancy To accompany the multiple servers that power a cloud environment, network and power redundancy also assist in providing a service that is capable of achieving 100% uptime. Network redundancy is fundamental in allowing external access to websites and servers that are hosted in the cloud and you will be hard done by to find an ISP or data centre provider that hosts its servers on a single connection. In the case of our cloud, you will find that your virtual machines will be hosted on a cloud in a data centre that utilises multiple Internet connections so that if the primary connection does fail, you will still have full access to your cloud servers. N+1 redundancy has also been used in the design of internal networks; if you imagine N = a piece of networking hardware, +1 is the exact same piece of hardware. Network item N is the primary piece of hardware that is in use, whilst +1 is a backup that is available for the network to fallback onto in the event of the failure of the primary networking appliance. Power redundancy is just as important as networking redundancy. If the power to the hardware in the cloud fails then in any place other than a data centre, this would result in the entire environment crashing because it has no electricity to run it. However, in a professional data centre a cloud will be running off multiple power feeds. As is the case with network redundancy, multiple power feeds have been used so that in the event that the primary power feed is cut off, electricity can still be supplied from other sources. Other typical power redundancy measures taken include UPS (Uninterruptable Power Supply) batteries and diesel generators that can provide power for the short-term in case of a complete blackout. The support All server hardware needs to be professionally maintained if it is to remain operational. And the cloud is no exception to this rule; indeed having professional support engineers available around the clock is one of the core pillars of a reliable cloud environment. In the case of our cloud services, we provide full 24×7 support so that we are on hand to deal with any issues in the cloud the moment that they are discovered. Similarly as your package includes this full support, you can call on us to help you with any issue at any time of day so that you can get the most out of your cloud servers. It doesn’t matter whether hardware needs replacing, or software needs installing or updating, support engineers are the only people who have the technical knowhow to achieve these things and the chances are that the cloud would simply grind to a halt if such tasks weren’t performed on a regular basis.
    Jun 04, 2018 48
  • 30 May 2018
    We have almost reached the mid of 2018 and it is important to realize what is the scope for network security and the areas where IT focus has major impact. Here are some trends, challenges and hazards that await the tech-kind in the near future: The evolution of malware: Generally, attackers wish to target cyber victims globally and malware has so far been one of the most efficient ways to do so. From the last few years, spreading malware across a network has been the perfect attacking method because almost all antivirus programs fail against such an approach. Due to this more security vendors have started offering malware defense but, it seems like malware technology is updating itself more vigorously compared to the solutions to fight it. Security vendors guard enterprise data and personal computers and before the vendors even begin prevention measures the attackers shift their techniques again. Now, it is can be predicted that attackers will adopt mobile malware as almost all corporate enterprise allow the use of mobile devices. All mobile devices are allowed to join the corporate internet connectivity like Wi-Fi networks. Thus, mobile malware can make these devices lethal allowing attackers to gain access to confidential data of enterprises. IoT complication that leads to Distributed Denial of Service (DDoS) attacks: It has been observed that Internet of Things (IoT) technology is growing like never before and has reached corporate and business networks as well as government bodies; this presents a combined larger target with a plethora of security risks. On the other hands, the IoT world also has an extensive range of protocols which is altogether another point of contention. A lot of businesses lack IoT related skills like complicated system architectures, weak security of product and features and operational immaturity. All the above mentioned reasons lead to further security problems. A report by F5 Networks last year predicted a rise in IoT devices from 8.4 billion in 2017 to 20.4 billion by 2020; the report also predicted that all these unregulated IoT devices might lead to a widespread destruction as they might become cyber-weapons for attackers in the years to come. There have been several DDoS attacks sourced from vulnerable IoT devices in recorded history and it is predicted that such attacks will rise even more in the coming years. A boost in cyber defenses by Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and Machine Learning (ML) have a big role to play in the future as they gather pace having started impacting enterprises and big businesses. Information security professionals find AI and ML to be a boon as algorithms and models enabled by ML can forecast and precisely identify cyber-attacks. Professionals need to make sure that these models are trained to perform their tasks as well as be safe and secure. However, the risk of exploitation of AI and ML by attackers looms large. Intelligent Things Intelligent Things are a set of devices and processes networked together in such a way that they can function independently in order to complete a task. Intelligent Things are nothing but an extension of IoT. To understand this in a better way let’s take the example of driver-less cars powered by AI. Say a person wants to travel from point A to point B in a driverless car, his interaction with the AI-based system of the car is minimum. However, if the car is stolen, wearable smart devices (Intelligent Things) can collect and analyze the information about the vehicle. This makes the entire system secure. Being able to secure this network of Intelligent Things will boost the IT priority list as attacks keep growing day by day and enterprises tend to become more comfortable with the use of intelligent machines in everyday operations. It is necessary to know that a secured network can deliver numerous benefits to enterprises and corporates such as enhanced IT processes, increased productivity, and efficient services. It also caters the most secured and guarded data that meets the list of quality standards determined by the enterprises. A good security practice is to ensure only authorized people have the access to network resources of a company.
    54 Posted by manohar parakh
  • We have almost reached the mid of 2018 and it is important to realize what is the scope for network security and the areas where IT focus has major impact. Here are some trends, challenges and hazards that await the tech-kind in the near future: The evolution of malware: Generally, attackers wish to target cyber victims globally and malware has so far been one of the most efficient ways to do so. From the last few years, spreading malware across a network has been the perfect attacking method because almost all antivirus programs fail against such an approach. Due to this more security vendors have started offering malware defense but, it seems like malware technology is updating itself more vigorously compared to the solutions to fight it. Security vendors guard enterprise data and personal computers and before the vendors even begin prevention measures the attackers shift their techniques again. Now, it is can be predicted that attackers will adopt mobile malware as almost all corporate enterprise allow the use of mobile devices. All mobile devices are allowed to join the corporate internet connectivity like Wi-Fi networks. Thus, mobile malware can make these devices lethal allowing attackers to gain access to confidential data of enterprises. IoT complication that leads to Distributed Denial of Service (DDoS) attacks: It has been observed that Internet of Things (IoT) technology is growing like never before and has reached corporate and business networks as well as government bodies; this presents a combined larger target with a plethora of security risks. On the other hands, the IoT world also has an extensive range of protocols which is altogether another point of contention. A lot of businesses lack IoT related skills like complicated system architectures, weak security of product and features and operational immaturity. All the above mentioned reasons lead to further security problems. A report by F5 Networks last year predicted a rise in IoT devices from 8.4 billion in 2017 to 20.4 billion by 2020; the report also predicted that all these unregulated IoT devices might lead to a widespread destruction as they might become cyber-weapons for attackers in the years to come. There have been several DDoS attacks sourced from vulnerable IoT devices in recorded history and it is predicted that such attacks will rise even more in the coming years. A boost in cyber defenses by Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and Machine Learning (ML) have a big role to play in the future as they gather pace having started impacting enterprises and big businesses. Information security professionals find AI and ML to be a boon as algorithms and models enabled by ML can forecast and precisely identify cyber-attacks. Professionals need to make sure that these models are trained to perform their tasks as well as be safe and secure. However, the risk of exploitation of AI and ML by attackers looms large. Intelligent Things Intelligent Things are a set of devices and processes networked together in such a way that they can function independently in order to complete a task. Intelligent Things are nothing but an extension of IoT. To understand this in a better way let’s take the example of driver-less cars powered by AI. Say a person wants to travel from point A to point B in a driverless car, his interaction with the AI-based system of the car is minimum. However, if the car is stolen, wearable smart devices (Intelligent Things) can collect and analyze the information about the vehicle. This makes the entire system secure. Being able to secure this network of Intelligent Things will boost the IT priority list as attacks keep growing day by day and enterprises tend to become more comfortable with the use of intelligent machines in everyday operations. It is necessary to know that a secured network can deliver numerous benefits to enterprises and corporates such as enhanced IT processes, increased productivity, and efficient services. It also caters the most secured and guarded data that meets the list of quality standards determined by the enterprises. A good security practice is to ensure only authorized people have the access to network resources of a company.
    May 30, 2018 54
  • 23 May 2018
    Evolving technologies has a great impact on businesses as it offers many opportunities and areas for development which can change the face of your business. There is a lot of potential when it comes to adopting a certain technology and implementing it so that you can try new ways to take your business to the next level. Artificial Intelligence is a hot topic of discussion in recent times because it offers a chance to take the next best technological step. Artificial Intelligence was coined as a term in early 1950 but only now it has come into practical use, thanks to the growing data and various fields where AI can be used with advanced algorithms and higher compute power. Artificial Intelligence is not an independent technology because it is a broad term which consists of many other terms which are related to AI and ranges from robotics to machine learning. Some refer to AI as ‘cognitive computing’ or ‘machine learning’ while others call it as ‘machine learning’. People tend to confuse these terms with one another because the end goal of AI is to build machines capable enough to perform critical tasks and cognitive functions which are actually within the scope of a human acumen. Artificial Intelligence is about machines learning the basic and most critical programs to gain experience and respond to demands and perform human-like tasks. You can also say that machine learning is a type of AI which allows the software to predict outcomes and provide results without being programmed for specific tasks. By providing inputs and programming a machine to do specific tasks, first it processes data and certain patterns because it needs to follow a code. In order to get the desired result, machines must be able to learn specific capabilities instead of feeling the need to programme them explicitly. We have achieved stunning progress in the field of AI in the last 10 years. Here are some of the amazing examples where companies have implemented AI into their business: Google’s AI-Powered Predictions Google Maps makes use of location data from smartphones, which analyzes the pace and movement of traffic at any given time. With the help of their Waze app which detects traffic incidents like construction and accidents, Google Maps can easily find out the traffic in reported areas. When vast amounts of data regarding traffic is received and fed into the algorithm, then Google Maps can easily provide the fastest route and areas which are less congested. Ridesharing Applications Uber is able to minimize your wait time when you hail a car or determine the price of your ride and provide you a service which is equivalent to other passenger’s location which minimizes detour. Have you ever given it a thought that how is Uber able to do it? The answer is Machine Learning. This provides a user with ETAs for rides, optimal pickup locations, drop-off points and avoiding detours for multiple customers. All this is possible due to machine learning. Use on an AI-based Autopilot AI technology in commercial airlines for autopilots dates back to 1914, which is surprisingly early for the use of an AI-based technology. A report suggests that only 7 minutes of human command is needed, which is reserved only during take-offs and landing else everything is taken care by autopilot based on AI. Further, we can divide Machine Learning into different categories based on the different algorithms. There are 4 types of ML according to their purpose and algorithms which are as follows:   Supervised Learning Supervised Learning is a concept where we need to insert an algorithm to train a machine for receiving a desired end result. We need to design a response which will best serve our query and will provide us with the exact desired solution. Many a times we are not able to create a true function which gives us the correct predictions and other reason can be assumptions made by humans which are hard for machines to understand. Here humans acts as a teacher where we feed data to a computer which contains inputs (Predictors) and also feed the correct answers from which a computer should be able to learn through patterns. Supervised learning algorithms are dependent on predicted output and code inputs so it can forecast the output based on previous data sets. Unsupervised Learning In unsupervised learning there is no labeled data which is grouped for a specific outcome. Unlike supervised learning, here there is no teacher or a supervisor who trains or inserts any kind of algorithm into the machine. When any type of data is fed into unsupervised machines, the machine processes this data on its own and produces new patterns and ideas. This too belongs to the family of machine learning algorithms which uses pattern detection and descriptive modeling and recognizes certain data patterns to provide a result even if it is not the desired one. When there is no specific algorithm to be followed by the machine, they still try to make a relationship between the actual output required based on the data fed to it. Semi-Supervised Learning The previous two types of learning either required a teacher or it didn’t, but this type of learning falls between the two of them. In supervised learning, there was labeled data which would provide the result which is expected and in unsupervised learning there was no specific label for a group of data which will provide the desired result. Here, skilled human experts are required for observations of algorithms which will be able to group labeled and unlabeled data to receive the outcome which is necessary. Reinforcement Learning Reinforcement Learning is a type of machine learning and is also a type of AI. Reinforcement learning is a type of agent which observes the previous experience in a specific environment to maximize the result and minimize risk. Here, the machine is in continuous learning phase in a particular environment in an interactive fashion. The continuous observing of events leads to extraction of complete possibilities of a data pattern. Reinforcement learning allows machines and software agents to determine ideal behavior between a specific environment to maximize the results. This provides various solutions to one’s query so that multiple options are ready to choose from. Conclusion We are experiencing a major shift in technology and it is up to us if we are ready to acknowledge and adopt these technologies in our lives. Artificial Intelligence is truly the future because it caters to a lot of needs through automation and continuous learning. Human efforts are reduced with the help of AI and machine learning.
    48 Posted by manohar parakh
  • Evolving technologies has a great impact on businesses as it offers many opportunities and areas for development which can change the face of your business. There is a lot of potential when it comes to adopting a certain technology and implementing it so that you can try new ways to take your business to the next level. Artificial Intelligence is a hot topic of discussion in recent times because it offers a chance to take the next best technological step. Artificial Intelligence was coined as a term in early 1950 but only now it has come into practical use, thanks to the growing data and various fields where AI can be used with advanced algorithms and higher compute power. Artificial Intelligence is not an independent technology because it is a broad term which consists of many other terms which are related to AI and ranges from robotics to machine learning. Some refer to AI as ‘cognitive computing’ or ‘machine learning’ while others call it as ‘machine learning’. People tend to confuse these terms with one another because the end goal of AI is to build machines capable enough to perform critical tasks and cognitive functions which are actually within the scope of a human acumen. Artificial Intelligence is about machines learning the basic and most critical programs to gain experience and respond to demands and perform human-like tasks. You can also say that machine learning is a type of AI which allows the software to predict outcomes and provide results without being programmed for specific tasks. By providing inputs and programming a machine to do specific tasks, first it processes data and certain patterns because it needs to follow a code. In order to get the desired result, machines must be able to learn specific capabilities instead of feeling the need to programme them explicitly. We have achieved stunning progress in the field of AI in the last 10 years. Here are some of the amazing examples where companies have implemented AI into their business: Google’s AI-Powered Predictions Google Maps makes use of location data from smartphones, which analyzes the pace and movement of traffic at any given time. With the help of their Waze app which detects traffic incidents like construction and accidents, Google Maps can easily find out the traffic in reported areas. When vast amounts of data regarding traffic is received and fed into the algorithm, then Google Maps can easily provide the fastest route and areas which are less congested. Ridesharing Applications Uber is able to minimize your wait time when you hail a car or determine the price of your ride and provide you a service which is equivalent to other passenger’s location which minimizes detour. Have you ever given it a thought that how is Uber able to do it? The answer is Machine Learning. This provides a user with ETAs for rides, optimal pickup locations, drop-off points and avoiding detours for multiple customers. All this is possible due to machine learning. Use on an AI-based Autopilot AI technology in commercial airlines for autopilots dates back to 1914, which is surprisingly early for the use of an AI-based technology. A report suggests that only 7 minutes of human command is needed, which is reserved only during take-offs and landing else everything is taken care by autopilot based on AI. Further, we can divide Machine Learning into different categories based on the different algorithms. There are 4 types of ML according to their purpose and algorithms which are as follows:   Supervised Learning Supervised Learning is a concept where we need to insert an algorithm to train a machine for receiving a desired end result. We need to design a response which will best serve our query and will provide us with the exact desired solution. Many a times we are not able to create a true function which gives us the correct predictions and other reason can be assumptions made by humans which are hard for machines to understand. Here humans acts as a teacher where we feed data to a computer which contains inputs (Predictors) and also feed the correct answers from which a computer should be able to learn through patterns. Supervised learning algorithms are dependent on predicted output and code inputs so it can forecast the output based on previous data sets. Unsupervised Learning In unsupervised learning there is no labeled data which is grouped for a specific outcome. Unlike supervised learning, here there is no teacher or a supervisor who trains or inserts any kind of algorithm into the machine. When any type of data is fed into unsupervised machines, the machine processes this data on its own and produces new patterns and ideas. This too belongs to the family of machine learning algorithms which uses pattern detection and descriptive modeling and recognizes certain data patterns to provide a result even if it is not the desired one. When there is no specific algorithm to be followed by the machine, they still try to make a relationship between the actual output required based on the data fed to it. Semi-Supervised Learning The previous two types of learning either required a teacher or it didn’t, but this type of learning falls between the two of them. In supervised learning, there was labeled data which would provide the result which is expected and in unsupervised learning there was no specific label for a group of data which will provide the desired result. Here, skilled human experts are required for observations of algorithms which will be able to group labeled and unlabeled data to receive the outcome which is necessary. Reinforcement Learning Reinforcement Learning is a type of machine learning and is also a type of AI. Reinforcement learning is a type of agent which observes the previous experience in a specific environment to maximize the result and minimize risk. Here, the machine is in continuous learning phase in a particular environment in an interactive fashion. The continuous observing of events leads to extraction of complete possibilities of a data pattern. Reinforcement learning allows machines and software agents to determine ideal behavior between a specific environment to maximize the results. This provides various solutions to one’s query so that multiple options are ready to choose from. Conclusion We are experiencing a major shift in technology and it is up to us if we are ready to acknowledge and adopt these technologies in our lives. Artificial Intelligence is truly the future because it caters to a lot of needs through automation and continuous learning. Human efforts are reduced with the help of AI and machine learning.
    May 23, 2018 48
  • 18 May 2018
    Technology finds various ways to amuse us by showing us exactly what we humans are able to do by implementing newer technologies in our day-to-day life which eases the burden of certain tasks and activities. There is an introduction of a new technology every month which enables us to adopt and overcome tasks which can be handled through automation. Here we are going to discuss about a relatively newer term (but an older technology) which is recently catching the eye of every organization because it shows potential and a bright future for cloud computing. The name says it all as it signifies the edge in a network where the data travels through the network diagram. In edge computing, the computing power is pushed at the edge of the network, so when devices like smart traffic lights and cameras need to connect to a cloud or a data center for instructions or data analytics, these devices are more than capable to perform data analytics by themselves. In edge computing, data analysis occurs very close to the IoT devices which results in speedy analytics and decision making. What is Edge Computing? ‘Edge Computing’ or ‘edge of system registering', is a procedure that empowers Internet of Things (IoT) to be broke down significantly snappier by preparing where the data is made instead of transporting it to a distant datacenter. This increases speedy analytics which provides real-time examination required by a large number of the present undertakings. This also decreases the amount of communication bandwidth between sensors and the main data center by executing data analytics at the source where the data is being created. What exactly do we mean by Edge Computing? Edge registering works by putting away and handling basic information on a system of smaller scale datacenters before it is sent to the focal cloud or datacenter archive. Fundamentally utilized for managing IoT information, edge gadgets gather the information, embrace basic handling locally and after that forward the information to the cloud for capacity and any further preparing. IoT devices generate data which can be small or large in amount depending on the device’s information collection. The data is transferred to a nearby device which has the compute power, storage and network connectivity and thus the data is processed locally. Implementation and Expectations from this Technology Many organizations have begun to implement edge computing in their IoT environment because it saves a lot of time taken by the devices to communicate with their host in order to take the necessary decisions. Edge computing processes the data instantly where it is created which provides with instant results and decisions. This benefits organizations in many ways like; cost savings, time taken to interact with a cloud, instant analysis and provides faster responses to clients. There is a huge amount of data being generated everyday through computer-to-computer communications and IoT devices which eventually comes down to processing this data. For example, let’s assume there are multiple devices installed in a city which creates and transmits massive measures of information - it is a big investment which demands data analysis tools to process huge measures of information, these tools offer real time analysis of the data being collected by various devices and provide reports and results instantly. There are mainly 4 vital drivers pushing us towards the edge computing and these are as follows: Evolving customer expectations from their own business Optimum use of data to explore new possibilities Upcoming technologies in networking and software which offers opportunities in edge computing Application on edge platform like IoT devices which processes and transforms data through a network for better customer experience and better delivery of data Let’s have a look at the benefits There are many advantages to organizations when they adopt the edge platform, so let’s see how edge computing is proving to be beneficial for enterprises: Quick Responses –Due to high computational power at the edge of a device, the time taken to process data and send back to the host is very quick. There is no trip to the cloud for analysis which makes the process faster and highly responsive.   Low operating cost – There is almost no costs involved due to smaller operations and very low data management expenses.   Security of the Highest Level – A lot of data transfer is avoided between the devices and the datacenter due to edge computing’s technology. This technology also enables to filter sensitive information and only transfer the important data which provides adequate amount of security.   A Pocket-Friendly Solution: While adopting IoT a user needs to pay up upfront for bandwidth, storage and computational power. Edge computing performs data analytics at the device location which saves the final costs of an overall IT solution.   A true connection between legacy and modern devices – Legacy machines are able to connect to IoT solutions (relatively modern) which offers benefits from legacy devices and modern machines. Edge computing components truly act as a link between legacy and modern machines. Conclusion CIOs that are very future oriented should definitely go for edge computing which offers so much in the current technology scenario. Data is being generated in abundance and there also tools to process this data but the only thing which is a concern is the time taken to analyze this data and transfer it through point A to point B. Quick insights are provided whenever data is generated through IoT devices and are ready to implement for faster business decisions.  
    93 Posted by manohar parakh
  • Technology finds various ways to amuse us by showing us exactly what we humans are able to do by implementing newer technologies in our day-to-day life which eases the burden of certain tasks and activities. There is an introduction of a new technology every month which enables us to adopt and overcome tasks which can be handled through automation. Here we are going to discuss about a relatively newer term (but an older technology) which is recently catching the eye of every organization because it shows potential and a bright future for cloud computing. The name says it all as it signifies the edge in a network where the data travels through the network diagram. In edge computing, the computing power is pushed at the edge of the network, so when devices like smart traffic lights and cameras need to connect to a cloud or a data center for instructions or data analytics, these devices are more than capable to perform data analytics by themselves. In edge computing, data analysis occurs very close to the IoT devices which results in speedy analytics and decision making. What is Edge Computing? ‘Edge Computing’ or ‘edge of system registering', is a procedure that empowers Internet of Things (IoT) to be broke down significantly snappier by preparing where the data is made instead of transporting it to a distant datacenter. This increases speedy analytics which provides real-time examination required by a large number of the present undertakings. This also decreases the amount of communication bandwidth between sensors and the main data center by executing data analytics at the source where the data is being created. What exactly do we mean by Edge Computing? Edge registering works by putting away and handling basic information on a system of smaller scale datacenters before it is sent to the focal cloud or datacenter archive. Fundamentally utilized for managing IoT information, edge gadgets gather the information, embrace basic handling locally and after that forward the information to the cloud for capacity and any further preparing. IoT devices generate data which can be small or large in amount depending on the device’s information collection. The data is transferred to a nearby device which has the compute power, storage and network connectivity and thus the data is processed locally. Implementation and Expectations from this Technology Many organizations have begun to implement edge computing in their IoT environment because it saves a lot of time taken by the devices to communicate with their host in order to take the necessary decisions. Edge computing processes the data instantly where it is created which provides with instant results and decisions. This benefits organizations in many ways like; cost savings, time taken to interact with a cloud, instant analysis and provides faster responses to clients. There is a huge amount of data being generated everyday through computer-to-computer communications and IoT devices which eventually comes down to processing this data. For example, let’s assume there are multiple devices installed in a city which creates and transmits massive measures of information - it is a big investment which demands data analysis tools to process huge measures of information, these tools offer real time analysis of the data being collected by various devices and provide reports and results instantly. There are mainly 4 vital drivers pushing us towards the edge computing and these are as follows: Evolving customer expectations from their own business Optimum use of data to explore new possibilities Upcoming technologies in networking and software which offers opportunities in edge computing Application on edge platform like IoT devices which processes and transforms data through a network for better customer experience and better delivery of data Let’s have a look at the benefits There are many advantages to organizations when they adopt the edge platform, so let’s see how edge computing is proving to be beneficial for enterprises: Quick Responses –Due to high computational power at the edge of a device, the time taken to process data and send back to the host is very quick. There is no trip to the cloud for analysis which makes the process faster and highly responsive.   Low operating cost – There is almost no costs involved due to smaller operations and very low data management expenses.   Security of the Highest Level – A lot of data transfer is avoided between the devices and the datacenter due to edge computing’s technology. This technology also enables to filter sensitive information and only transfer the important data which provides adequate amount of security.   A Pocket-Friendly Solution: While adopting IoT a user needs to pay up upfront for bandwidth, storage and computational power. Edge computing performs data analytics at the device location which saves the final costs of an overall IT solution.   A true connection between legacy and modern devices – Legacy machines are able to connect to IoT solutions (relatively modern) which offers benefits from legacy devices and modern machines. Edge computing components truly act as a link between legacy and modern machines. Conclusion CIOs that are very future oriented should definitely go for edge computing which offers so much in the current technology scenario. Data is being generated in abundance and there also tools to process this data but the only thing which is a concern is the time taken to analyze this data and transfer it through point A to point B. Quick insights are provided whenever data is generated through IoT devices and are ready to implement for faster business decisions.  
    May 18, 2018 93
  • 17 May 2018
    In today’s world the Internet has become an integral part of our life. Each and every individual is connected to the internet and is able access it from anywhere at any given time. In this digital era, you’ll find a website for every possible object you can think of only because it wants to create its digital presence. We surf many websites in a day but we never think about how secure the website is. It is something which really needs some attention and action. Cybersecurity is a major concern for any business due to the increase in cyber threat from many hackers. Websites are often compromised and sensitive information is leaked which is exchanged through the website. Website security is essential to prevent data theft and misuse of the same. A website breach can create huge liability costs and will make the users lose their confidence in a business. The data on your website is precious and important to your business because it holds your customers’ data and it is your responsibility to protect it. There are still a large number of internet users who are not aware about what an SSL Certificate is and how important it is to protect your website. In this blog we will start from the basics and cover as much information as possible about SSL Certificates. What is an SSL Certificate? Secure Socket Layer (SSL) is a standard security innovation which establishes a scrambled connection between a web server and a program. This particular link ensures that whatever data is exchanged between the web server and the browser remains private and fundamental. Basically, SSL Certificates are little information documentswhich digitally attach a cryptographic key to an association information. How SSL Certificates protect your data? When an SSL Certificate is introduced on a web server, it enacts the lock and the https convention which then permits secure associations from a web server to a program. A user can easily recognize and be assured if a website has SSL Certificate by simply looking at the address bar which will display a padlock in green color and https; where the ‘S’ stands for secured. SSL Certificates are used to secure data transfers and logins, financial information like credit card transactions and social media and e-commerce sites which have a lot of user/customer data. When an SSL Certificate is installed on a server, a secure connection is established between the Client and the Host computer (If a Client needs to set up an SSL session then a request is made to the Host who then establishes a secure link). In this case, only the Host can decrypt the responses and the Client can verify the SSL Certificate. Now, the Host and the Client can exchange the decrypted information which only these two parties are able to read. It protects sensitive information which is submitted by a user including the client’s name, address and credit/debit card information and it is not limited to just this. Importance of SSL Certificate SSL Certificate is the backbone of a secure internet connection. As we surf the internet and go through many websites in a day, there is a good chance that some of the websites are unsecure because they lack SSL Certificate. It is critical to share any information on these websites because it can lead to theft or misuse of your data. For safe exchange of data and smooth web browsing experience it is very essential to install an SSL Certificate on your server. Benefits of an SSL Certificate Encrypts Sensitive Information SSL Certificate encrypts information which can be understood by only the intended parties. Any information which is exchanged on the internet often passes through one or more computers which increases the chances of a third party to obtain that data. SSL Certificate puts erratic information in the original information which stops anyone to access the information unless they have an encryption key. Without the proper key the information will be useless even if it falls in the wrong hands. You can easily recognize if the site is secured by looking at the ‘http’ which has changed to ‘https’ and the lock icon in the address bar. Provides Authentication When receiving an SSL Certificate, the client also obtains a Server Certificate which acts as a safe mediator between the browser and the server. A client needs to be sure that the overall information is being transferred to the right server. Customers or website visitors are able to see these certificates to check if the website is trusted or is just an imitation. These certificates also mention that the certificate provider is reliable and trustworthy. Necessary for Accepting Payments SSL Certificate is important to exchange any sensitive payment information on the website. To adhere to these online payments standards, one needs to have a certificate of at least 128-bit encryption. The certificate should be PCI certified which examines if the source who is providing the certificate is to be trusted, the strength of encryption level is checked and it is must to provide a private connection to a user to submit his/her payment information on the webpage. If you have an e-commerce site and you accept online payments, then nothing is as important as holding a SSL Certificate. Guards gainst Phishing These days there are many spam emails which users receive from uncertified locations, which apparently takes the user to a fake website to extract payment information from them. These sites try to convince you that it is an authentic website, but when a user sees that these websites are not safe for exchanging any type of information then the user scrams away from such websites. Hackers have a hard time obtaining an authenticate SSL Certificate because of their inappropriate business practices. Business Future Proofing It is important to acquire new customers and retain all of them in order to be successful. When you provide your customers with what they require, you make sure that you have taken care of their needs and they will stick with you in the future. There are bigger risks in e-commerce today but if you protect your customer, the customer will definitely protect your business by staying loyal to you. Conclusion Internet is not a safe place to be if you don’t comply with safety standards. There are many hackers who are after your information and will try to get their hands on it the second they get a chance. It is important to protect your business when you have important exchange of information online. SSL Certificates take care of your online transactions by providing you top level of data security.
    23 Posted by manohar parakh
  • In today’s world the Internet has become an integral part of our life. Each and every individual is connected to the internet and is able access it from anywhere at any given time. In this digital era, you’ll find a website for every possible object you can think of only because it wants to create its digital presence. We surf many websites in a day but we never think about how secure the website is. It is something which really needs some attention and action. Cybersecurity is a major concern for any business due to the increase in cyber threat from many hackers. Websites are often compromised and sensitive information is leaked which is exchanged through the website. Website security is essential to prevent data theft and misuse of the same. A website breach can create huge liability costs and will make the users lose their confidence in a business. The data on your website is precious and important to your business because it holds your customers’ data and it is your responsibility to protect it. There are still a large number of internet users who are not aware about what an SSL Certificate is and how important it is to protect your website. In this blog we will start from the basics and cover as much information as possible about SSL Certificates. What is an SSL Certificate? Secure Socket Layer (SSL) is a standard security innovation which establishes a scrambled connection between a web server and a program. This particular link ensures that whatever data is exchanged between the web server and the browser remains private and fundamental. Basically, SSL Certificates are little information documentswhich digitally attach a cryptographic key to an association information. How SSL Certificates protect your data? When an SSL Certificate is introduced on a web server, it enacts the lock and the https convention which then permits secure associations from a web server to a program. A user can easily recognize and be assured if a website has SSL Certificate by simply looking at the address bar which will display a padlock in green color and https; where the ‘S’ stands for secured. SSL Certificates are used to secure data transfers and logins, financial information like credit card transactions and social media and e-commerce sites which have a lot of user/customer data. When an SSL Certificate is installed on a server, a secure connection is established between the Client and the Host computer (If a Client needs to set up an SSL session then a request is made to the Host who then establishes a secure link). In this case, only the Host can decrypt the responses and the Client can verify the SSL Certificate. Now, the Host and the Client can exchange the decrypted information which only these two parties are able to read. It protects sensitive information which is submitted by a user including the client’s name, address and credit/debit card information and it is not limited to just this. Importance of SSL Certificate SSL Certificate is the backbone of a secure internet connection. As we surf the internet and go through many websites in a day, there is a good chance that some of the websites are unsecure because they lack SSL Certificate. It is critical to share any information on these websites because it can lead to theft or misuse of your data. For safe exchange of data and smooth web browsing experience it is very essential to install an SSL Certificate on your server. Benefits of an SSL Certificate Encrypts Sensitive Information SSL Certificate encrypts information which can be understood by only the intended parties. Any information which is exchanged on the internet often passes through one or more computers which increases the chances of a third party to obtain that data. SSL Certificate puts erratic information in the original information which stops anyone to access the information unless they have an encryption key. Without the proper key the information will be useless even if it falls in the wrong hands. You can easily recognize if the site is secured by looking at the ‘http’ which has changed to ‘https’ and the lock icon in the address bar. Provides Authentication When receiving an SSL Certificate, the client also obtains a Server Certificate which acts as a safe mediator between the browser and the server. A client needs to be sure that the overall information is being transferred to the right server. Customers or website visitors are able to see these certificates to check if the website is trusted or is just an imitation. These certificates also mention that the certificate provider is reliable and trustworthy. Necessary for Accepting Payments SSL Certificate is important to exchange any sensitive payment information on the website. To adhere to these online payments standards, one needs to have a certificate of at least 128-bit encryption. The certificate should be PCI certified which examines if the source who is providing the certificate is to be trusted, the strength of encryption level is checked and it is must to provide a private connection to a user to submit his/her payment information on the webpage. If you have an e-commerce site and you accept online payments, then nothing is as important as holding a SSL Certificate. Guards gainst Phishing These days there are many spam emails which users receive from uncertified locations, which apparently takes the user to a fake website to extract payment information from them. These sites try to convince you that it is an authentic website, but when a user sees that these websites are not safe for exchanging any type of information then the user scrams away from such websites. Hackers have a hard time obtaining an authenticate SSL Certificate because of their inappropriate business practices. Business Future Proofing It is important to acquire new customers and retain all of them in order to be successful. When you provide your customers with what they require, you make sure that you have taken care of their needs and they will stick with you in the future. There are bigger risks in e-commerce today but if you protect your customer, the customer will definitely protect your business by staying loyal to you. Conclusion Internet is not a safe place to be if you don’t comply with safety standards. There are many hackers who are after your information and will try to get their hands on it the second they get a chance. It is important to protect your business when you have important exchange of information online. SSL Certificates take care of your online transactions by providing you top level of data security.
    May 17, 2018 23
  • 14 May 2018
    Virtual Specialist Chatbot Recent improvements in Artificial Intelligence and Machine Learning has created constructive environment for investors and organizations who wish to create and develop automated chat agent which can imitate human-like behavior. There are various cases where an organization is benefitting due to implementation of a Virtual Assistant in their business. Many well-known websites feature some or the other type of automatic customer chat service, which helps customers with their issues through faster responses and precise problem solving. The Virtual Specialist Chatbot is your virtual employee who helps customers and visitors on your website 24x7. It commits high standards and Zero-errors; it reduces inquiries reaching your phone or email by learning to respond to all common service questions. About ESDS EnlightBot We’re closer to Artificial Intelligence & Natural Language Programming (NLP) Breakthroughs than ever before. This means that talking to a chatbot can closely become as real as talking to a human. Introducing EnlightBot - which has everything that a customer needs to build a chatbot including channel integration, dialogue flow, AI engine, integration and an easy to use bot builder UI that brings all this together. ESDS’ EnlightBot provides you with a solution that is predictable in terms of cost, ease of use, level of effort and with a rapid time to market. ESDS’ EnlightBot is designed to support any industry; banks, Insurance, Education, Hospitality, e-commerce, Government, Healthcare, Online Services and Technical support. Smart City initiatives are rapidly increasing their technology capabilities and chatbots are playing a key role in their business. Implementing a chatbot in a business will reduce 80% phone calls and e-mails. Key Features v  EnlightBot is AI and Natural Language Processing (NLP) enabled by Neural Networks and Machine Learning. v  ESDS’ EnlightBot can accurately detect the user’s intent & respond appropriately. v  Avant-Garde experience ensures your users are engaged and are loyal to your service. v  EnlightBot creates a context-aware conversational dialogue. v  Dramatically improves conversational experience. Chatbot Advantage v  It Improves engagement across the entire customer lifecycle v  Ability to engage with the customers in a natural and friendly manner v  Easy to interact using a simpler user interface and interactions are possible through familiar platforms like Facebook chat through (Application Programming Interface) API. v  Capability to outperform humans due to high speed while handling customer queries v  Enhanced end user satisfaction due to speed of problem solving v  Instant Return on Investment v  Automatic reminders v  Identifies cross selling and up selling of various products and services v  Personalized Banking services and Assistance v  Assists in easy KYC and customer on boarding v  Provides various analytics reports and exhibits charts & specific insights v  24/7 customer Support What exactly we provide ESDS’ EnlightBot Virtual Assistant, is an Intelligent bot empowered with – Artificial intelligence, Natural Language Processing, Neural Networks and Machine Learning. There are mainly 2 types of bots in the market which are - Dumb Bots and AI enabled Bots. A Dumb Bot answers to only a handful of questions through pre-programmed answers preset into them. On other side, an intelligent AI enabled chatbot which is also known as Virtual Assistants, processes Natural Language to understand and generate the information themselves. ESDS’ EnlightBot is AI enabled and is a Level 7 chatbot which facilitates seamless API integration with enterprises subsystems for real-time customer engagement. We provide you with an Intelligent Bot which dramatically improves the conversational experience, allowing a far more natural conversation between the Bot and the end user. Instead of the end user having to learn a fixed set of keywords that the bot will respond to, an Intelligent Bot is able to understand the user’s intention however it is expressed and respond accordingly. Intelligent Bots will ensure your users keep engaging and coming back to your service. By using Artificial Intelligence (AI) and Natural Language Processing (NLP) powered by Neural Networks and Machine Learning, ESDS’ EnlightBot can accurately detect what the user is trying to achieve (their intent) and respond appropriately with information or results of transactions from API connections to any of your back-end enterprise applications and information sources. The platform makes it simple and easy to build and train intelligent bots without the need for specialist AI skills. Your bots can then be exposed through many chat and voice channels, a custom mobile app or even your website would do the trick. Our Product is Enterprise Ready Experience Dialogue Management, Videos, Images, Emoticons, Voice Technology and is Designed to mimic human interactions. Intelligence Switching between Virtual and Real Agent, Business Specific Intelligence and Natural Language Understanding (NLU). 3rd Party Integration Integration with Backend Systems, API Access, Site Search, Single-Sign-on, Ticketing Systems and Customer Communication Management (CCM) Software. Scalability and Security Scalable – Vertical and Horizontal, Automatic Updates. Success Case Recently, we bagged our first ever client for EnlightBot in the form of Government of India’s Flagship Project which focuses on boosting MSMEs & Business Enterprises with easy loan processes. SIDBI’S www.udyamimitra.in has adopted EnlightBot platform and has named it ‘Samriddhi’.
    84 Posted by manohar parakh
  • Virtual Specialist Chatbot Recent improvements in Artificial Intelligence and Machine Learning has created constructive environment for investors and organizations who wish to create and develop automated chat agent which can imitate human-like behavior. There are various cases where an organization is benefitting due to implementation of a Virtual Assistant in their business. Many well-known websites feature some or the other type of automatic customer chat service, which helps customers with their issues through faster responses and precise problem solving. The Virtual Specialist Chatbot is your virtual employee who helps customers and visitors on your website 24x7. It commits high standards and Zero-errors; it reduces inquiries reaching your phone or email by learning to respond to all common service questions. About ESDS EnlightBot We’re closer to Artificial Intelligence & Natural Language Programming (NLP) Breakthroughs than ever before. This means that talking to a chatbot can closely become as real as talking to a human. Introducing EnlightBot - which has everything that a customer needs to build a chatbot including channel integration, dialogue flow, AI engine, integration and an easy to use bot builder UI that brings all this together. ESDS’ EnlightBot provides you with a solution that is predictable in terms of cost, ease of use, level of effort and with a rapid time to market. ESDS’ EnlightBot is designed to support any industry; banks, Insurance, Education, Hospitality, e-commerce, Government, Healthcare, Online Services and Technical support. Smart City initiatives are rapidly increasing their technology capabilities and chatbots are playing a key role in their business. Implementing a chatbot in a business will reduce 80% phone calls and e-mails. Key Features v  EnlightBot is AI and Natural Language Processing (NLP) enabled by Neural Networks and Machine Learning. v  ESDS’ EnlightBot can accurately detect the user’s intent & respond appropriately. v  Avant-Garde experience ensures your users are engaged and are loyal to your service. v  EnlightBot creates a context-aware conversational dialogue. v  Dramatically improves conversational experience. Chatbot Advantage v  It Improves engagement across the entire customer lifecycle v  Ability to engage with the customers in a natural and friendly manner v  Easy to interact using a simpler user interface and interactions are possible through familiar platforms like Facebook chat through (Application Programming Interface) API. v  Capability to outperform humans due to high speed while handling customer queries v  Enhanced end user satisfaction due to speed of problem solving v  Instant Return on Investment v  Automatic reminders v  Identifies cross selling and up selling of various products and services v  Personalized Banking services and Assistance v  Assists in easy KYC and customer on boarding v  Provides various analytics reports and exhibits charts & specific insights v  24/7 customer Support What exactly we provide ESDS’ EnlightBot Virtual Assistant, is an Intelligent bot empowered with – Artificial intelligence, Natural Language Processing, Neural Networks and Machine Learning. There are mainly 2 types of bots in the market which are - Dumb Bots and AI enabled Bots. A Dumb Bot answers to only a handful of questions through pre-programmed answers preset into them. On other side, an intelligent AI enabled chatbot which is also known as Virtual Assistants, processes Natural Language to understand and generate the information themselves. ESDS’ EnlightBot is AI enabled and is a Level 7 chatbot which facilitates seamless API integration with enterprises subsystems for real-time customer engagement. We provide you with an Intelligent Bot which dramatically improves the conversational experience, allowing a far more natural conversation between the Bot and the end user. Instead of the end user having to learn a fixed set of keywords that the bot will respond to, an Intelligent Bot is able to understand the user’s intention however it is expressed and respond accordingly. Intelligent Bots will ensure your users keep engaging and coming back to your service. By using Artificial Intelligence (AI) and Natural Language Processing (NLP) powered by Neural Networks and Machine Learning, ESDS’ EnlightBot can accurately detect what the user is trying to achieve (their intent) and respond appropriately with information or results of transactions from API connections to any of your back-end enterprise applications and information sources. The platform makes it simple and easy to build and train intelligent bots without the need for specialist AI skills. Your bots can then be exposed through many chat and voice channels, a custom mobile app or even your website would do the trick. Our Product is Enterprise Ready Experience Dialogue Management, Videos, Images, Emoticons, Voice Technology and is Designed to mimic human interactions. Intelligence Switching between Virtual and Real Agent, Business Specific Intelligence and Natural Language Understanding (NLU). 3rd Party Integration Integration with Backend Systems, API Access, Site Search, Single-Sign-on, Ticketing Systems and Customer Communication Management (CCM) Software. Scalability and Security Scalable – Vertical and Horizontal, Automatic Updates. Success Case Recently, we bagged our first ever client for EnlightBot in the form of Government of India’s Flagship Project which focuses on boosting MSMEs & Business Enterprises with easy loan processes. SIDBI’S www.udyamimitra.in has adopted EnlightBot platform and has named it ‘Samriddhi’.
    May 14, 2018 84
  • 13 May 2018
    Introduction Banking, Financial Services and Insurance (BFSI) is one sector that has been going through continuous technological disruptions. Every few months, a new trend is being adopted by this sector to make itself better. Most of these changes today are customer-centric and aim at enriching the consumer’s banking experience. About a decade ago banking in India was one of the most cumbersome fields as far as customer convenience was concerned involving long lines and lengthy procedures. Since then this sector has come a long way with automation, core banking, ATMs, online banking services, eKYC and much more serving today’s tech-savvy customer. Since 2016, the sector has been hit by Artificial Intelligence, Machine Learning and virtual agents. Several banks in the country and abroad have adopted robotics in some manner or the other to ease their processes, bring about workforce efficiency and ensure speedy delivery of services. Important Installations In India, leading bank SBI launched SIA, an AI-enabled virtual assistant specialized with assisting customers with everyday banking tasks that supposedly handles nearly 10,000 enquiries per second. Another leading bank, HDFC, has introduced ‘Eva’, which stands for Electronic Virtual Assistant. Eva assists with providing information about the bank’s products and services instantaneously. Indian government’s Micro, Small and Medium Enterprises empowering initiative Udyamimitra.com launched EnlightBot coming from the IT company ESDS’ bouquet of offerings. EnlightBot helps online customers with understanding the loan-acquiring process and utilizing other facilities of Udyamimitra. Similarly, internationally, Bank of America launched ‘Erica’ which specializes in recommending smart solutions to the bank’s customers. However, the introduction of AI in banking is not just limited to chatbots. A lot of banks and financial organisations are using software robotics to ease backend process for achieving better functional design. Global financial services firm JPMorgan Chase has launched COIN to analyze complex contracts saving almost 360,000 of man hours. It also handles IT access requests coming from employees. SBI is using AI to study, in real-time, the facial expressions of its customers visiting the bank’s branches to find out if they are happy or sad. ICICI, in the meanwhile, has deployed robotics software to ease over 200 of its processes across various business functions. This has helped the bank in reducing the response time for customers, increasing accuracy and thus, boosting productivity. What Statistics Say Statistics and predictions undoubtedly point in the direction that AI will herald a transformational change in the banking industry. According Capgemini, one robot can perform the tasks of as many as five employees. PricewaterhouseCoopers’ FinTech Report on India released in 2017 said that global investment in AI applications touched $5.1 billion in 2016, up from $4.0 billion in 2015. Many analysis also counter job-defending technology-pessimists; Gartner predicts that AI will not make human employment obsolete but will create 2 million jobs by 2019. But to realize the full value of AI in banking, it cannot be applied in an unorganized piecemeal manner. A workforce that can implement AI at the enterprise-level will be highly valued. Intelligent technologies should be used to create better work opportunities and that is probably the only way AI will bring about a long-lasting positive impact in the industry. A mind-set change will be more important in the time to come than just deep subject matter knowledge. Jobs will have to be enriched in reply to emerging technology being used as an aid to human intelligence. Pros and Cons Integrating artificial intelligence in the dynamic industry of banking and finance has several benefits. Some of these include accuracy, reduction in human error, cost cuts, scalability, etc. Another important activity that will become easy to perform with AI is data analytics. Machine Learning can effortlessly process a large amount of data swiftly. Patterns can be observed and customer service can be enhanced accordingly. Right customer can be contacted at the right time with the right product. Fraud detection will also become a cake walk since AI can immediately flag unusual transactions. It builds trust and creates a secure financial environment. What lies in the future Undoubtedly, AI will drive the banking and financial services markets of the future. This will only be possible if the industry is able to manage the security risk of AI systems. A report by several US & UK experts on malicious use of AI states that a range of security threats including cyber, political and physical arise with the growth in the capabilities and reach of AI. A proactive effort will be needed to stay ahead of the attackers, they feel. Moreover, the success of AI will boil down to customer impact above anything else. But if AI cannot achieve that and instead confuses the user with multiple pre-laid steps, then there’s a problem. What remains to be seen is how financial institutions will handle AI implementation in banking, and how it extends this service to customers. If banking intimacy is lost, then someone else will do it bypassing the banks.
    37 Posted by manohar parakh
  • Introduction Banking, Financial Services and Insurance (BFSI) is one sector that has been going through continuous technological disruptions. Every few months, a new trend is being adopted by this sector to make itself better. Most of these changes today are customer-centric and aim at enriching the consumer’s banking experience. About a decade ago banking in India was one of the most cumbersome fields as far as customer convenience was concerned involving long lines and lengthy procedures. Since then this sector has come a long way with automation, core banking, ATMs, online banking services, eKYC and much more serving today’s tech-savvy customer. Since 2016, the sector has been hit by Artificial Intelligence, Machine Learning and virtual agents. Several banks in the country and abroad have adopted robotics in some manner or the other to ease their processes, bring about workforce efficiency and ensure speedy delivery of services. Important Installations In India, leading bank SBI launched SIA, an AI-enabled virtual assistant specialized with assisting customers with everyday banking tasks that supposedly handles nearly 10,000 enquiries per second. Another leading bank, HDFC, has introduced ‘Eva’, which stands for Electronic Virtual Assistant. Eva assists with providing information about the bank’s products and services instantaneously. Indian government’s Micro, Small and Medium Enterprises empowering initiative Udyamimitra.com launched EnlightBot coming from the IT company ESDS’ bouquet of offerings. EnlightBot helps online customers with understanding the loan-acquiring process and utilizing other facilities of Udyamimitra. Similarly, internationally, Bank of America launched ‘Erica’ which specializes in recommending smart solutions to the bank’s customers. However, the introduction of AI in banking is not just limited to chatbots. A lot of banks and financial organisations are using software robotics to ease backend process for achieving better functional design. Global financial services firm JPMorgan Chase has launched COIN to analyze complex contracts saving almost 360,000 of man hours. It also handles IT access requests coming from employees. SBI is using AI to study, in real-time, the facial expressions of its customers visiting the bank’s branches to find out if they are happy or sad. ICICI, in the meanwhile, has deployed robotics software to ease over 200 of its processes across various business functions. This has helped the bank in reducing the response time for customers, increasing accuracy and thus, boosting productivity. What Statistics Say Statistics and predictions undoubtedly point in the direction that AI will herald a transformational change in the banking industry. According Capgemini, one robot can perform the tasks of as many as five employees. PricewaterhouseCoopers’ FinTech Report on India released in 2017 said that global investment in AI applications touched $5.1 billion in 2016, up from $4.0 billion in 2015. Many analysis also counter job-defending technology-pessimists; Gartner predicts that AI will not make human employment obsolete but will create 2 million jobs by 2019. But to realize the full value of AI in banking, it cannot be applied in an unorganized piecemeal manner. A workforce that can implement AI at the enterprise-level will be highly valued. Intelligent technologies should be used to create better work opportunities and that is probably the only way AI will bring about a long-lasting positive impact in the industry. A mind-set change will be more important in the time to come than just deep subject matter knowledge. Jobs will have to be enriched in reply to emerging technology being used as an aid to human intelligence. Pros and Cons Integrating artificial intelligence in the dynamic industry of banking and finance has several benefits. Some of these include accuracy, reduction in human error, cost cuts, scalability, etc. Another important activity that will become easy to perform with AI is data analytics. Machine Learning can effortlessly process a large amount of data swiftly. Patterns can be observed and customer service can be enhanced accordingly. Right customer can be contacted at the right time with the right product. Fraud detection will also become a cake walk since AI can immediately flag unusual transactions. It builds trust and creates a secure financial environment. What lies in the future Undoubtedly, AI will drive the banking and financial services markets of the future. This will only be possible if the industry is able to manage the security risk of AI systems. A report by several US & UK experts on malicious use of AI states that a range of security threats including cyber, political and physical arise with the growth in the capabilities and reach of AI. A proactive effort will be needed to stay ahead of the attackers, they feel. Moreover, the success of AI will boil down to customer impact above anything else. But if AI cannot achieve that and instead confuses the user with multiple pre-laid steps, then there’s a problem. What remains to be seen is how financial institutions will handle AI implementation in banking, and how it extends this service to customers. If banking intimacy is lost, then someone else will do it bypassing the banks.
    May 13, 2018 37
  • 11 May 2018
    Defining AI Artificial Intelligence (AI) is basically intelligence demonstrated outside the human mind, essentially by machines. Machine Learning (ML) is a way of achieving AI and can be defined as the ability of computers to learn using statistical techniques without being specially programmed. Both the terms are symbiotic but also mutually exclusive in their own right with different definitions. We are not unfamiliar with the concept of AI which has been time and again explored and exploited by popular media. Movies have gone as far as to show us a world dominated by AI-enabled machines and robots and these movies, more often than not, have ended up portraying negative repercussions of an AI-enabled society. This has more or less shaped up the general feeling revolving around AI in the society. However, in the technology industry experts have largely contrasting views about AI. While one lot feels that AI & Machine Learning is the way of the future and will aid humans to perform their tasks better, the other lot is of the opinion that AI has more cons than pros and will eventually lead to the downfall of humans (as popularly portrayed in Hollywood movies). Why AI is the way forward AI is software that is meant to perform functions that human intelligence can undertake like learning and problem solving among other things like reasoning, planning, perception as well as Natural Language Understanding (NLU) and Natural Language Processing (NLP). This technology, in the Information Technology (IT) sector, is being applied to several objects. Digital Assistants are one of the foremost products built keeping AI in mind. Amazon’s Alexa, Apple’s Siri, Tesla’s Autopilot are some popular Virtual Assistants. However, today, IT industries are experimenting with a plethora of AI-enabled services and solutions and tagging them ‘Smart’ like Smart TVs, Smart Toys, Smart Speakers, Smart Autonomous Cars and others. How can commoners access AI today? Log on to the websites of various e-commerce agencies or banks and a window pops up asking you ‘How May I Help You?’ Many of these chatbots today are AI-enabled as they continuously better themselves with more and more conversations. They can handle several queries in one go and can also cause switch from a computer to human in a fraction of a second. Several IT giants have come up with their own chatbots like IBM Watson, Microsoft Luis, Cognicor, IPSoft Amelia and ESDS’ Enlight-Bot. While most of them claim to be AI-enabled only a few have managed to achieve conversational intelligence with its proprietary algorithm extending to Language Generation. Most of these bots are Dumb Chatbots answering to only a handful of queries with preset questions and answers programmed in them. To be an intelligent AI-enabled ChatBot, also called Virtual Assistants, they need to go from processing natural language to understand and lastly is generating it themselves. For example, ESDS’ Enlight-Bot besides being AI-enabled extends its proprietary algorithm to Level 7 and also facilitates seamless API integration with enterprise subsystems as well as third parties allowing for real-time customer engagement. Negativity Surrounding AI The biggest threat that AI poses today is replacing humans in performing several jobs, eventually rendering people jobless. Automation also, to a certain extent, has caused such fears. However, if AI is looked upon as a tool rather than a replacement, companies will be able to achieve immense industrial growth. AI, in fact, can assist employees by gathering essential information, screening it and also bettering their productivity by performing performance checks among many other things. However, several renowned experts like Stephen Hawking and Elon Musk have expressed wariness about technological advances in AI claiming that it might eventually overpower the human race. While they are not completely against the development of AI, they believe that government regulation will be needed so as to save tech from going rogue. An international regulator is the need of the hour so that no one nation becomes an AI Supremo and eventually goes down the wayward path of controlling the world. Many other experts are also of the opinion that AI-enabled machines will work the other way round in a manner that they will make humankind depend on them to an extent of growing useless. According to Seth Shostak of SETI hyper-intelligent machines will exist on much more superior intellectual planes. However, we need to remember that several experts stressed on similar concerns about nuclear weapons, quantum computers and even lasers. The way these technologies are applied decides if it is harmful or helpful and so will be the case with AI, believe many. According to Microsoft founder Bill Gates, there is no need to panic about AI and leaders should not indulge is unsubstantiated fear-mongering, says Facebook founder Mark Zuckerberg. An ultimate partnership Meanwhile, many professionals across the world wide web are contemplating an ultimate partnership between Artificial Intelligence and Human Intelligence (AI+HI) where tools like AI are being active partners rather than just passive extensions of one’s self. For example, a lawn mower is a passive extension of one’s hand, but a drone is more of an active partner distributing intelligence with its operator. Remember Green Goblin’s Goblin Glider in Spiderman movie? The glider was not only a measure of a commute for Green Goblin, but also an intelligent super platform that gauged danger and moved from one place to another to protect its user. Interaction with such smart tools can give the power in human hands.
    69 Posted by manohar parakh
  • Defining AI Artificial Intelligence (AI) is basically intelligence demonstrated outside the human mind, essentially by machines. Machine Learning (ML) is a way of achieving AI and can be defined as the ability of computers to learn using statistical techniques without being specially programmed. Both the terms are symbiotic but also mutually exclusive in their own right with different definitions. We are not unfamiliar with the concept of AI which has been time and again explored and exploited by popular media. Movies have gone as far as to show us a world dominated by AI-enabled machines and robots and these movies, more often than not, have ended up portraying negative repercussions of an AI-enabled society. This has more or less shaped up the general feeling revolving around AI in the society. However, in the technology industry experts have largely contrasting views about AI. While one lot feels that AI & Machine Learning is the way of the future and will aid humans to perform their tasks better, the other lot is of the opinion that AI has more cons than pros and will eventually lead to the downfall of humans (as popularly portrayed in Hollywood movies). Why AI is the way forward AI is software that is meant to perform functions that human intelligence can undertake like learning and problem solving among other things like reasoning, planning, perception as well as Natural Language Understanding (NLU) and Natural Language Processing (NLP). This technology, in the Information Technology (IT) sector, is being applied to several objects. Digital Assistants are one of the foremost products built keeping AI in mind. Amazon’s Alexa, Apple’s Siri, Tesla’s Autopilot are some popular Virtual Assistants. However, today, IT industries are experimenting with a plethora of AI-enabled services and solutions and tagging them ‘Smart’ like Smart TVs, Smart Toys, Smart Speakers, Smart Autonomous Cars and others. How can commoners access AI today? Log on to the websites of various e-commerce agencies or banks and a window pops up asking you ‘How May I Help You?’ Many of these chatbots today are AI-enabled as they continuously better themselves with more and more conversations. They can handle several queries in one go and can also cause switch from a computer to human in a fraction of a second. Several IT giants have come up with their own chatbots like IBM Watson, Microsoft Luis, Cognicor, IPSoft Amelia and ESDS’ Enlight-Bot. While most of them claim to be AI-enabled only a few have managed to achieve conversational intelligence with its proprietary algorithm extending to Language Generation. Most of these bots are Dumb Chatbots answering to only a handful of queries with preset questions and answers programmed in them. To be an intelligent AI-enabled ChatBot, also called Virtual Assistants, they need to go from processing natural language to understand and lastly is generating it themselves. For example, ESDS’ Enlight-Bot besides being AI-enabled extends its proprietary algorithm to Level 7 and also facilitates seamless API integration with enterprise subsystems as well as third parties allowing for real-time customer engagement. Negativity Surrounding AI The biggest threat that AI poses today is replacing humans in performing several jobs, eventually rendering people jobless. Automation also, to a certain extent, has caused such fears. However, if AI is looked upon as a tool rather than a replacement, companies will be able to achieve immense industrial growth. AI, in fact, can assist employees by gathering essential information, screening it and also bettering their productivity by performing performance checks among many other things. However, several renowned experts like Stephen Hawking and Elon Musk have expressed wariness about technological advances in AI claiming that it might eventually overpower the human race. While they are not completely against the development of AI, they believe that government regulation will be needed so as to save tech from going rogue. An international regulator is the need of the hour so that no one nation becomes an AI Supremo and eventually goes down the wayward path of controlling the world. Many other experts are also of the opinion that AI-enabled machines will work the other way round in a manner that they will make humankind depend on them to an extent of growing useless. According to Seth Shostak of SETI hyper-intelligent machines will exist on much more superior intellectual planes. However, we need to remember that several experts stressed on similar concerns about nuclear weapons, quantum computers and even lasers. The way these technologies are applied decides if it is harmful or helpful and so will be the case with AI, believe many. According to Microsoft founder Bill Gates, there is no need to panic about AI and leaders should not indulge is unsubstantiated fear-mongering, says Facebook founder Mark Zuckerberg. An ultimate partnership Meanwhile, many professionals across the world wide web are contemplating an ultimate partnership between Artificial Intelligence and Human Intelligence (AI+HI) where tools like AI are being active partners rather than just passive extensions of one’s self. For example, a lawn mower is a passive extension of one’s hand, but a drone is more of an active partner distributing intelligence with its operator. Remember Green Goblin’s Goblin Glider in Spiderman movie? The glider was not only a measure of a commute for Green Goblin, but also an intelligent super platform that gauged danger and moved from one place to another to protect its user. Interaction with such smart tools can give the power in human hands.
    May 11, 2018 69
  • 11 May 2018
    The term “cloud” is all the rage. But what exactly does it mean?  Business applications are on the way to the cloud and the change is faster on than ever before: the shift from traditional software, and client-server models towards the Internet has gained in the last 10 years, resistant to momentum. A look into the future shows that cloud computing will bring in the next decade through mobile devices new opportunities for collaboration regardless of location.  Life before cloud computing  Traditional business applications have always been very complicated and expensive. The required amount and complexity of hardware and software to run business applications is overwhelming. To install, configure, test, run, secure, and updating this a whole team of experts is required. If these efforts, then apply for dozens or hundreds of applications, it rapidly becomes clear why the big companies do not always find the best IT departments the applications they require. Smaller and medium-sized enterprises as have little chance.  Cloud computing offers a better option  With cloud computing you rid yourself of these worries, because you manage any hardware or software. This responsibility is assigned to an experienced vendor like salesforce.com. The shared infrastructure corresponds to the offer of a utility: You only pay the required service updates automatically proceed and size changes in each direction are straightforward.  Cloud computing a better way  Cloud-based applications are deployed within days or weeks and they cost less. In a cloud application simply launch a browser, log in to fit the application, and start using the application. Companies carry applications from all areas in the Cloud from, for example, Customer Relationship Management (CRM), human resources, accounting and many more. Some of the world’s largest companies now run their applications in the cloud.  What is Cloud Computing? Cloud computing is vital and popular  In the technology industry, everyone is talking about it – and in the economic sector, many are asking the same question: “What is Cloud Computing and the importance of this technology for my business?”  Cloud computing platforms are getting more and more popular. But why is that? What unique advantages does a cloud computing architecture company in light of the current economic situation? And what is cloud computing anyway? So we investigate the cloud computing infrastructure and its impact on areas of critical importance for the IT sector, such as security, investment in infrastructure, the development of business applications, etc. Many IT departments are faced with the problem of having to spend a lot of your work time with frustrating implementations, maintenance complex and time-consuming updates that have all too often no positive effect on the bottom line of the company. Therefore, more and more IT teams choose to computing technology to work with the cloud to reduce the time that must be spent on activities with little equivalent. Therefore, the employees of the IT staff have more time to concentrate on strategic tasks that have greater impact on the business activities.  Cloud computing infrastructure  The fundamentals of cloud computing infrastructure have convinced the managers of IT departments of some of the world’s biggest companies. After initial skepticism, they have to switch to different cloud platforms to experience the fullness of the advantages of cloud computing technology itself.  The cloud computing technology can be much more easily and quickly integrate with your other business applications (both traditional and on the cloud computing infrastructure based software). It does not matter whether they are third-party solutions or in-house developed applications. Service availability of world-class cloud computing infrastructure can be much better able to scale, provide a complete disaster recovery and impressive uptime.  No hardware or software required   A 100% cloud computing infrastructure The unbeatable advantage of cloud computing technology lies in its simplicity and the fact that much less capital expenditure is required to obtain an operational system. Faster and less risky implementation with a cloud computing infrastructure you have at a fraction of the time required of an operational system. Months or years of waiting and investing millions before even one user can log in to the new solution, a thing of the past. Your web-based computing applications are available within a few weeks or months, even if extensive customisation or integration are made.  Support profound adaptations  Some IT experts mistakenly assumed that the cloud computing technology is difficult or almost not adjust fully and that it therefore is not a good choice for complex businesses. The cloud computing infrastructure not only allows deep customizations and configurations of applications, these adjustments are also maintained even during upgrades. But that’s not all: Web computing is ideally fitted for the maturation of applications to satisfy the evolving demands of your clientele.  Business users with more opportunities  The cloud computing technology enables business users point-and-click customization and builds reports on the fly, so that the IT department does not have to stop half of their working time with minor changes and the creation of reports.  Automatic updates without affecting the IT resources cloud computing infrastructures are the solution of a major IT problem: when upgrading to the current and most powerful version of the application must (not available) time and resources are spent to make adjustments and integrations again. In the cloud computing technology, you are not forced to choose between upgrading and maintaining all your invested work, because those customizations and integrations are automatically preserved during upgrades.  What are the benefits of eNlight cloud compting?  Cloud computing infrastructures and the Intelligent eNlight cloud platform from ESDS have convinced the CIOs of some of the world’s largest companies. This forward-thinking – but extremely attentive to safety ESDS cloud engineers have checked thoroughly and the value detected that offers cloud computing technology. eNlight offer a comprehensive, flexible platform. Whether it is the large organizations, small businesses or medium-sized companies, the needs of companies of all sizes are met.  eNlight minimizes the risks associated with the development of applications, and the implementation. Finally, technologies should help to solve business problems and not create new ones. The cloud computing infrastructure also brings significant savings in administrative costs that are 50 percent lower than those incurred in client / server-based software. Let in the following areas with the cloud computing concept save administrative costs; Our cloud allows administrators and business users to perform basic customizations themselves. Reports in real time. It is no wonder that so many CIOs structure their companies on the basis of the new cloud computing infrastructure – eNlight Intelligent cloud computing
    44 Posted by manohar parakh
  • The term “cloud” is all the rage. But what exactly does it mean?  Business applications are on the way to the cloud and the change is faster on than ever before: the shift from traditional software, and client-server models towards the Internet has gained in the last 10 years, resistant to momentum. A look into the future shows that cloud computing will bring in the next decade through mobile devices new opportunities for collaboration regardless of location.  Life before cloud computing  Traditional business applications have always been very complicated and expensive. The required amount and complexity of hardware and software to run business applications is overwhelming. To install, configure, test, run, secure, and updating this a whole team of experts is required. If these efforts, then apply for dozens or hundreds of applications, it rapidly becomes clear why the big companies do not always find the best IT departments the applications they require. Smaller and medium-sized enterprises as have little chance.  Cloud computing offers a better option  With cloud computing you rid yourself of these worries, because you manage any hardware or software. This responsibility is assigned to an experienced vendor like salesforce.com. The shared infrastructure corresponds to the offer of a utility: You only pay the required service updates automatically proceed and size changes in each direction are straightforward.  Cloud computing a better way  Cloud-based applications are deployed within days or weeks and they cost less. In a cloud application simply launch a browser, log in to fit the application, and start using the application. Companies carry applications from all areas in the Cloud from, for example, Customer Relationship Management (CRM), human resources, accounting and many more. Some of the world’s largest companies now run their applications in the cloud.  What is Cloud Computing? Cloud computing is vital and popular  In the technology industry, everyone is talking about it – and in the economic sector, many are asking the same question: “What is Cloud Computing and the importance of this technology for my business?”  Cloud computing platforms are getting more and more popular. But why is that? What unique advantages does a cloud computing architecture company in light of the current economic situation? And what is cloud computing anyway? So we investigate the cloud computing infrastructure and its impact on areas of critical importance for the IT sector, such as security, investment in infrastructure, the development of business applications, etc. Many IT departments are faced with the problem of having to spend a lot of your work time with frustrating implementations, maintenance complex and time-consuming updates that have all too often no positive effect on the bottom line of the company. Therefore, more and more IT teams choose to computing technology to work with the cloud to reduce the time that must be spent on activities with little equivalent. Therefore, the employees of the IT staff have more time to concentrate on strategic tasks that have greater impact on the business activities.  Cloud computing infrastructure  The fundamentals of cloud computing infrastructure have convinced the managers of IT departments of some of the world’s biggest companies. After initial skepticism, they have to switch to different cloud platforms to experience the fullness of the advantages of cloud computing technology itself.  The cloud computing technology can be much more easily and quickly integrate with your other business applications (both traditional and on the cloud computing infrastructure based software). It does not matter whether they are third-party solutions or in-house developed applications. Service availability of world-class cloud computing infrastructure can be much better able to scale, provide a complete disaster recovery and impressive uptime.  No hardware or software required   A 100% cloud computing infrastructure The unbeatable advantage of cloud computing technology lies in its simplicity and the fact that much less capital expenditure is required to obtain an operational system. Faster and less risky implementation with a cloud computing infrastructure you have at a fraction of the time required of an operational system. Months or years of waiting and investing millions before even one user can log in to the new solution, a thing of the past. Your web-based computing applications are available within a few weeks or months, even if extensive customisation or integration are made.  Support profound adaptations  Some IT experts mistakenly assumed that the cloud computing technology is difficult or almost not adjust fully and that it therefore is not a good choice for complex businesses. The cloud computing infrastructure not only allows deep customizations and configurations of applications, these adjustments are also maintained even during upgrades. But that’s not all: Web computing is ideally fitted for the maturation of applications to satisfy the evolving demands of your clientele.  Business users with more opportunities  The cloud computing technology enables business users point-and-click customization and builds reports on the fly, so that the IT department does not have to stop half of their working time with minor changes and the creation of reports.  Automatic updates without affecting the IT resources cloud computing infrastructures are the solution of a major IT problem: when upgrading to the current and most powerful version of the application must (not available) time and resources are spent to make adjustments and integrations again. In the cloud computing technology, you are not forced to choose between upgrading and maintaining all your invested work, because those customizations and integrations are automatically preserved during upgrades.  What are the benefits of eNlight cloud compting?  Cloud computing infrastructures and the Intelligent eNlight cloud platform from ESDS have convinced the CIOs of some of the world’s largest companies. This forward-thinking – but extremely attentive to safety ESDS cloud engineers have checked thoroughly and the value detected that offers cloud computing technology. eNlight offer a comprehensive, flexible platform. Whether it is the large organizations, small businesses or medium-sized companies, the needs of companies of all sizes are met.  eNlight minimizes the risks associated with the development of applications, and the implementation. Finally, technologies should help to solve business problems and not create new ones. The cloud computing infrastructure also brings significant savings in administrative costs that are 50 percent lower than those incurred in client / server-based software. Let in the following areas with the cloud computing concept save administrative costs; Our cloud allows administrators and business users to perform basic customizations themselves. Reports in real time. It is no wonder that so many CIOs structure their companies on the basis of the new cloud computing infrastructure – eNlight Intelligent cloud computing
    May 11, 2018 44
  • 07 May 2018
    Introduction Businesses have always been dependent on the analytics they carry out to uncover insights and trends in their field to learn more out of the situation. The concept of Big Data analytics has been around for many decades helping entrepreneurs to dig into their data manually to find most useful patterns and shifts in the market. This concept has evolved throughout the years and the method to analyze big data has also changed. Big Data cannot be processed through any traditional application software because there are tools like Hadoop and platforms like cloud based technologies to mine large amounts of data. The analytics provide organizations with an efficient way to stay agile in their business. Importance of Big Data Analytics Big Data Analytics assists organizations to effectively utilize their data to identify new fields in their business to create opportunities which are nothing but a very smart business move. Data analytics automatically results in efficient operations, more profits and a happy customer base. Enterprises acquire significant cost advantages when we talk about storage because cloud-based analytics platform takes care of this particular issue. With Hadoop, which has in-memory analytics, organizations can take faster and better decisions because Hadoop has the ability to analyze various sources of data and then businesses are able to process this information immediately. New products and services can be produced with the help of analytics by studying the customer’s needs. More and more companies are now paying attention to these needs by creating services to satisfy the customer. How Big Data is shaping the education sector Schools, universities, colleges and educational bodies hold very large amounts of data related to students and faculty. This data can be analyzed to get insights that can improve operational effectiveness of the educational institutions. Student’s behavior, examination results and development of each student as well as the education needs based on the changing educational requirements, can be processed through statistical analysis. Big Data paves the way for revolutionary system where students will learn in exciting ways. Let us have a look at some of the fields in Education Sector which will be highly impacted due to Big Data: Students’ Results When big data is implemented in an education sector, the entire educational body reaps the benefits of this technology along with students and parents. Measuring a student’s academic performance is through exams and the results they produce.  Each student generates a unique data trail during his or her lifetime, which can be analyzed for better understanding of a student’s behavior to create the best possible learning environment. Big data analytics monitors student’s activity such as their favorite subjects, their classroom performance, curricular activity interests, time they take to finish an exam and many other things within a student’s educational environment. A report can be constructed which will indicate the interest areas of a student. Analytics of Educators Educators can reap maximum benefits of Big data analytics due to the processing of data-driven systems which can help institutions create many learning experiences according to a student’s learning capability, ability and preference. Multiple programs can be fostered which will encourage each individual to choose what they desire to learn and through this many reports can be generated in the life of a student and what they would like to do or be in the future. Educators can improve their teaching skills after receiving feedback for a better learning experience equally for all students. Career prediction Digging deep into a student’s performance report will help the responsible authority to understand a student’s progress and their strengths and weaknesses. The reports will suggest the areas in which a student is interested and he/she can further pursue a career in the same field. If a student is keen on learning a particular subject, then the choice should be appreciated and encouraged to follow what the student believes in. Conclusion Big Data analytics are present in each and every field and it provides with valuable information. It lets you do things which were never dreamed before. Important decisions can be made to improve the current scenario and it is only possible if you carry out predictive big data analytics.
    194 Posted by manohar parakh
  • Introduction Businesses have always been dependent on the analytics they carry out to uncover insights and trends in their field to learn more out of the situation. The concept of Big Data analytics has been around for many decades helping entrepreneurs to dig into their data manually to find most useful patterns and shifts in the market. This concept has evolved throughout the years and the method to analyze big data has also changed. Big Data cannot be processed through any traditional application software because there are tools like Hadoop and platforms like cloud based technologies to mine large amounts of data. The analytics provide organizations with an efficient way to stay agile in their business. Importance of Big Data Analytics Big Data Analytics assists organizations to effectively utilize their data to identify new fields in their business to create opportunities which are nothing but a very smart business move. Data analytics automatically results in efficient operations, more profits and a happy customer base. Enterprises acquire significant cost advantages when we talk about storage because cloud-based analytics platform takes care of this particular issue. With Hadoop, which has in-memory analytics, organizations can take faster and better decisions because Hadoop has the ability to analyze various sources of data and then businesses are able to process this information immediately. New products and services can be produced with the help of analytics by studying the customer’s needs. More and more companies are now paying attention to these needs by creating services to satisfy the customer. How Big Data is shaping the education sector Schools, universities, colleges and educational bodies hold very large amounts of data related to students and faculty. This data can be analyzed to get insights that can improve operational effectiveness of the educational institutions. Student’s behavior, examination results and development of each student as well as the education needs based on the changing educational requirements, can be processed through statistical analysis. Big Data paves the way for revolutionary system where students will learn in exciting ways. Let us have a look at some of the fields in Education Sector which will be highly impacted due to Big Data: Students’ Results When big data is implemented in an education sector, the entire educational body reaps the benefits of this technology along with students and parents. Measuring a student’s academic performance is through exams and the results they produce.  Each student generates a unique data trail during his or her lifetime, which can be analyzed for better understanding of a student’s behavior to create the best possible learning environment. Big data analytics monitors student’s activity such as their favorite subjects, their classroom performance, curricular activity interests, time they take to finish an exam and many other things within a student’s educational environment. A report can be constructed which will indicate the interest areas of a student. Analytics of Educators Educators can reap maximum benefits of Big data analytics due to the processing of data-driven systems which can help institutions create many learning experiences according to a student’s learning capability, ability and preference. Multiple programs can be fostered which will encourage each individual to choose what they desire to learn and through this many reports can be generated in the life of a student and what they would like to do or be in the future. Educators can improve their teaching skills after receiving feedback for a better learning experience equally for all students. Career prediction Digging deep into a student’s performance report will help the responsible authority to understand a student’s progress and their strengths and weaknesses. The reports will suggest the areas in which a student is interested and he/she can further pursue a career in the same field. If a student is keen on learning a particular subject, then the choice should be appreciated and encouraged to follow what the student believes in. Conclusion Big Data analytics are present in each and every field and it provides with valuable information. It lets you do things which were never dreamed before. Important decisions can be made to improve the current scenario and it is only possible if you carry out predictive big data analytics.
    May 07, 2018 194
  • 04 May 2018
    Block chain and Internet of Things are two of the biggest buzzwords in the technology industry today. Each in its own sphere is set to revolutionize their respective industries with path-breaking applications and ease of use. According to Gartner, block chain technology will add $3.1 trillion in business value by 2030, and in another analysis the world IoT market is expected to grow from 2016 figure of $157B to $457B by 2020. Thus, the rapid advance in these technologies and their effect on our daily lives cannot be ignored. Block chain essentially means an encrypted ledger system which will allow formation of tamperproof and real-time records. Whereas, IoT is a term used to describe the constant spread of always-online, data-gathering devices into our professional and personal lives. According to many experts, their combination was inevitable and will further help escalate the value of each service individually and jointly. Let’s understand how… IoT & Keeping It Safe IoT is a disruptive technology which aims at connecting all electronic devices to make better decisions and take appropriate actions. Internet is the medium that is used to connect these devices which can belong to various industries like healthcare, building & lighting, energy & power, education, water & waste management, public safety, agriculture, entertainment, automotive, industrial, etc. After gathering data from these devices through sensors, the data is processed to be used as actionable insights to further improve the quality of living of people or to ease a certain process. However, a major concern with IoT devices has been the security paradigm related to it. The devices, if produced by MNCs, come with a suite of safety certifications that guarantee data leaks. However, many devices are produced locally in some countries with minimal adherence to authentication standards that keeps the data safe. Insecure IoT devices have already led to several cyber goof-ups like what happened with internet-routing organization Dyn in 2016. Thus, experts across the world are proposing the use of Block chain’s reliable and secure node-based architecture to make IoT more practical and trust-worthy. How will Block chain leverage IoT offerings Blockchain basically means recording and securing every transaction in the system. With billions of IoT devices crowding the cyberspace keeping a track of them and protecting the data they generate could be a cumbersome job that the block chain architecture can easily address as well as resolve. This data which can be used to make several mankind-altering decisions can also be manipulated and falsified by hackers due to lack of proper cyber security. The distributed ledger technology can help authenticate this data and in case of the minutest possible data breach, the blockchain record can help pinpoint the weak link of the chain and can help take remedial action. Blockchain also uses distributed storage and encryption to a large extent and for IoT this means data can be fully trusted and no possibility exists of oversight by humans. Due to the existence of a private key to enable write-access to the blockchain, nobody would be able to alter any record with improper information. Combining Blockchain and IoT will also help introduce the system of ‘Smart Contracts’ in the IoT way of life. Basically, ‘smart contracts’ are a digital protocol that enforce negotiation when certain conditions are met. Its present implementations are based on block chain and when combined with IoT devices it can help conduct better co-ordination and authorization in case of purchase demands. All these factors only point at better security of the IoT environment. A lot of data generated in the IoT environment is extremely personal including minute details of one’s life. This information needs to be shared via machines and other means so that it can be of some value. This also means that more are the chances for hackers to ambulate and further exploit these systems. Block chain here will add another layer of security to keep out attackers due to complicated encryption standards. Conclusion IoT is actually a thing of science fiction but is slowly gaining ground. However, all these individual devices and purpose cannot be served without some kind of orchestration technology. Blockchain will probably be fundamental to this factor where devices can seamlessly communicate with one another, verify each other’s identity and authenticity and conduct safe and secure transactions. A distributed ledge also removes the probability of system failure in IoT paradigm because its distributed nature eliminates single source issues. Moreover, block chain based IoT solutions can simplify business processes, are cost-efficient and can also enhance customer engagement. These solutions are totally secure and can be utilized by various industries. Companies all over the world are working on such path-breaking solutions. ESDS is one such company based out of India, US & UK that is contemplating on a great Smart City and other related solutions involving these two technological breakaways.
    224 Posted by manohar parakh
  • Block chain and Internet of Things are two of the biggest buzzwords in the technology industry today. Each in its own sphere is set to revolutionize their respective industries with path-breaking applications and ease of use. According to Gartner, block chain technology will add $3.1 trillion in business value by 2030, and in another analysis the world IoT market is expected to grow from 2016 figure of $157B to $457B by 2020. Thus, the rapid advance in these technologies and their effect on our daily lives cannot be ignored. Block chain essentially means an encrypted ledger system which will allow formation of tamperproof and real-time records. Whereas, IoT is a term used to describe the constant spread of always-online, data-gathering devices into our professional and personal lives. According to many experts, their combination was inevitable and will further help escalate the value of each service individually and jointly. Let’s understand how… IoT & Keeping It Safe IoT is a disruptive technology which aims at connecting all electronic devices to make better decisions and take appropriate actions. Internet is the medium that is used to connect these devices which can belong to various industries like healthcare, building & lighting, energy & power, education, water & waste management, public safety, agriculture, entertainment, automotive, industrial, etc. After gathering data from these devices through sensors, the data is processed to be used as actionable insights to further improve the quality of living of people or to ease a certain process. However, a major concern with IoT devices has been the security paradigm related to it. The devices, if produced by MNCs, come with a suite of safety certifications that guarantee data leaks. However, many devices are produced locally in some countries with minimal adherence to authentication standards that keeps the data safe. Insecure IoT devices have already led to several cyber goof-ups like what happened with internet-routing organization Dyn in 2016. Thus, experts across the world are proposing the use of Block chain’s reliable and secure node-based architecture to make IoT more practical and trust-worthy. How will Block chain leverage IoT offerings Blockchain basically means recording and securing every transaction in the system. With billions of IoT devices crowding the cyberspace keeping a track of them and protecting the data they generate could be a cumbersome job that the block chain architecture can easily address as well as resolve. This data which can be used to make several mankind-altering decisions can also be manipulated and falsified by hackers due to lack of proper cyber security. The distributed ledger technology can help authenticate this data and in case of the minutest possible data breach, the blockchain record can help pinpoint the weak link of the chain and can help take remedial action. Blockchain also uses distributed storage and encryption to a large extent and for IoT this means data can be fully trusted and no possibility exists of oversight by humans. Due to the existence of a private key to enable write-access to the blockchain, nobody would be able to alter any record with improper information. Combining Blockchain and IoT will also help introduce the system of ‘Smart Contracts’ in the IoT way of life. Basically, ‘smart contracts’ are a digital protocol that enforce negotiation when certain conditions are met. Its present implementations are based on block chain and when combined with IoT devices it can help conduct better co-ordination and authorization in case of purchase demands. All these factors only point at better security of the IoT environment. A lot of data generated in the IoT environment is extremely personal including minute details of one’s life. This information needs to be shared via machines and other means so that it can be of some value. This also means that more are the chances for hackers to ambulate and further exploit these systems. Block chain here will add another layer of security to keep out attackers due to complicated encryption standards. Conclusion IoT is actually a thing of science fiction but is slowly gaining ground. However, all these individual devices and purpose cannot be served without some kind of orchestration technology. Blockchain will probably be fundamental to this factor where devices can seamlessly communicate with one another, verify each other’s identity and authenticity and conduct safe and secure transactions. A distributed ledge also removes the probability of system failure in IoT paradigm because its distributed nature eliminates single source issues. Moreover, block chain based IoT solutions can simplify business processes, are cost-efficient and can also enhance customer engagement. These solutions are totally secure and can be utilized by various industries. Companies all over the world are working on such path-breaking solutions. ESDS is one such company based out of India, US & UK that is contemplating on a great Smart City and other related solutions involving these two technological breakaways.
    May 04, 2018 224
  • 27 Apr 2018
    Cloud isn’t for technology geeks anymore as by now, a majority of organizations have implemented cloud for improved efficiency in their business processes. A particular enterprise on cloud can reap many benefits as they are able to scale their resources whenever there are heavy business demands. Storage, which the cloud offers is such an easy feature which allows a user to store, retrieve and move their data seamlessly. Security on cloud is unmatched as compared to any other platforms. The simplicity of cloud is what makes it so easy to implement it in a business because it technically provides everything an admin might need to carry out his business functions smoothly. It is important to understand what newer technologies can be provided by cloud in the future because innovation doesn’t stop and there are always advancements and improvements when it comes to one particular technology. Cloud taps into the expertise of an enterprise to bring the best out of them. Cloud computing has come a long way, from being initially adopted for high efficiency and saving money, to emerging as a platform for the best of innovations. What the future holds for Cloud Computing? Almost everything is connected to the cloud one way or another - except if anything is specifically kept in a local storage for security purposes. There are many opportunities and capabilities in cloud computing. There are many predictions when it comes to the future of cloud computing as it can open doors for newer services, platforms, applications and much more. Innumerable possibilities pave the way for innumerable innovations. In the next decade, cloud computing will be an integral part of each human’s life because it will connect all the useable to a single platform. In this article we take a look at the next generation cloud technologies which will shape the cloud computing future and will provide a much evolved technology. Unikernels To say the least Unikernels are infrastructure virtualization space. It is an executable image which can be executed natively on a particular hypervisor without the help of a separate operating system. The image consists of an application code and operating systems functions which are necessary for the application. Unikernels are built up of library operating system which is nothing but collections of libraries which represent an operating system’s important capabilities. There have been various virtualizations in cloud computing and Unikernels is the latest hypervisor virtualization technology in the emerging containers concept. CaaS Container as a Service (CaaS) is an offering from cloud providers which provides container orchestration and compute resources. The framework can be used by the developers through API or a web interface for easy management of container. One can say that CaaS is a new layer for cloud platform for application deployment. This point towards the tools which are aimed at relaxing stress between the operations staff and the development team when it is about pushing application content and monitoring application. Server less Architecture The cloud has led to shutting down datacenters because CIOs believe in the services provided by cloud computing and how it has been a boon for their business. IT heads rent a mix of tools from a couple of vendors when they need extra processing power or storage. IT leaders are searching for a more cost efficient way to rent computing power and rather than managing a cloud architecture, they now wish to go server less. Cloud is now being used just to fuel applications and other functions with server less computing now in the picture. Only when resources need to be provisioned, the cloud is called upon to do this job. Internet of Things (IoT) can be a good example of such event based computing. Software Defined Networking (SDN) Software-defined networking is rapidly becoming a key component in data centers for automation. Software-defined networking provides efficient ways to manage virtualization saves cost and offers speedy service delivery. It gives data center managers the control to manage each and every aspect of a data center which results in higher agility to manage and upgrade their hardware. Modern data centers have become too complex to be managed by assigned personnel and thus, it is important to use an automation tool. It helps enterprises to enhance their security by minimizing vulnerabilities caused by humans. Conclusion Cloud computing has a bright future as it holds many technological breakthroughs and newer innovations. Technology which is implemented in the market today probably won’t be kindred tomorrow. The constant change which only leads to better upgradations will help many organizations reach their potential and achieve their desired targets. The cloud will bring much more benefits to businesses that one is able to imagine now.
    51 Posted by manohar parakh
  • Cloud isn’t for technology geeks anymore as by now, a majority of organizations have implemented cloud for improved efficiency in their business processes. A particular enterprise on cloud can reap many benefits as they are able to scale their resources whenever there are heavy business demands. Storage, which the cloud offers is such an easy feature which allows a user to store, retrieve and move their data seamlessly. Security on cloud is unmatched as compared to any other platforms. The simplicity of cloud is what makes it so easy to implement it in a business because it technically provides everything an admin might need to carry out his business functions smoothly. It is important to understand what newer technologies can be provided by cloud in the future because innovation doesn’t stop and there are always advancements and improvements when it comes to one particular technology. Cloud taps into the expertise of an enterprise to bring the best out of them. Cloud computing has come a long way, from being initially adopted for high efficiency and saving money, to emerging as a platform for the best of innovations. What the future holds for Cloud Computing? Almost everything is connected to the cloud one way or another - except if anything is specifically kept in a local storage for security purposes. There are many opportunities and capabilities in cloud computing. There are many predictions when it comes to the future of cloud computing as it can open doors for newer services, platforms, applications and much more. Innumerable possibilities pave the way for innumerable innovations. In the next decade, cloud computing will be an integral part of each human’s life because it will connect all the useable to a single platform. In this article we take a look at the next generation cloud technologies which will shape the cloud computing future and will provide a much evolved technology. Unikernels To say the least Unikernels are infrastructure virtualization space. It is an executable image which can be executed natively on a particular hypervisor without the help of a separate operating system. The image consists of an application code and operating systems functions which are necessary for the application. Unikernels are built up of library operating system which is nothing but collections of libraries which represent an operating system’s important capabilities. There have been various virtualizations in cloud computing and Unikernels is the latest hypervisor virtualization technology in the emerging containers concept. CaaS Container as a Service (CaaS) is an offering from cloud providers which provides container orchestration and compute resources. The framework can be used by the developers through API or a web interface for easy management of container. One can say that CaaS is a new layer for cloud platform for application deployment. This point towards the tools which are aimed at relaxing stress between the operations staff and the development team when it is about pushing application content and monitoring application. Server less Architecture The cloud has led to shutting down datacenters because CIOs believe in the services provided by cloud computing and how it has been a boon for their business. IT heads rent a mix of tools from a couple of vendors when they need extra processing power or storage. IT leaders are searching for a more cost efficient way to rent computing power and rather than managing a cloud architecture, they now wish to go server less. Cloud is now being used just to fuel applications and other functions with server less computing now in the picture. Only when resources need to be provisioned, the cloud is called upon to do this job. Internet of Things (IoT) can be a good example of such event based computing. Software Defined Networking (SDN) Software-defined networking is rapidly becoming a key component in data centers for automation. Software-defined networking provides efficient ways to manage virtualization saves cost and offers speedy service delivery. It gives data center managers the control to manage each and every aspect of a data center which results in higher agility to manage and upgrade their hardware. Modern data centers have become too complex to be managed by assigned personnel and thus, it is important to use an automation tool. It helps enterprises to enhance their security by minimizing vulnerabilities caused by humans. Conclusion Cloud computing has a bright future as it holds many technological breakthroughs and newer innovations. Technology which is implemented in the market today probably won’t be kindred tomorrow. The constant change which only leads to better upgradations will help many organizations reach their potential and achieve their desired targets. The cloud will bring much more benefits to businesses that one is able to imagine now.
    Apr 27, 2018 51
  • 26 Apr 2018
    Don't you feel almost all technological facilities are related to cloud these days? Guess what these services also include, the robotic technology. The day is not far when RaaS will turn out to be a multi-million-dollar industry. The global expenditure of robotics and robot related services will reach around $135.4 bn by 2019 which was $71 billion in 2015, according to an International Data Corporation report. John Santagate, research manager at International Data Corporation Manufacturing said, "With the rise in investment in AI development Robotic capabilities will keep on rising with the driving competition in order to bring cut the expenditure related to AI technology”.   According to a report titled 'Global Robotics Technology Market, 2013-2020 ‘, the universal robotics technology market is likely to reach up to $82.7bn by the 2020, recorded a CAGR of 10.11% during 2014-2020. The key factor that drives the robotic industry is the growing need for reduced labor costs of most established nations and the increasing instances of supported living style. More and more enterprises have started to enter the industry hoping to evolve and refine automation techniques and customer services.   Service robots provide a benefit by taking up industry-related tasks that are usually challenging and seem risky. Various everyday jobs are taken over by robots that are difficult and require much more human effort. Robots ensure and offer a higher level of accuracy and precision. The major sectors to use the Robotics and AI technology is Factories and manufacturing sectors, that develop merchandises on the methods of medications have been benefited from the accuracy that AI tech has offered.   Talking about the ever-increasing consumer world, a lot of cloud based enterprises like ESDS has / had started building chat bots that can be used in customer service processes in order to provide assistance to consumers in making correct use of products and helping them save a lot in the bargain. Industrial application of bots not only helps reduce cost, but it also initiates major transformations to take place for a better customer experience.   It has been proved that AI enabled RaaS is a boon to various verticals of manufacturing industry which includes manufacturing sector that requires hefty functional tasks in data storehouses. The RaaS model is now becoming a commonplace in the Agro sector. Agricultural robots and drones are used in a variety of tasks and they are expected to US $12 bn in next 5 years to come.   Talking about the healthcare industry, bots are able to perform tedious operations, they can interact with patients also check status of their health and suggest further appointments. Grouping of Artificial Intelligence and bot technology has surprised everyone already with the evolution of a bot called Sophia. All the data that is been taken by robots in different verticals and service sectors can be stored in cloud. Data analytics can be performed on the stored data and this enables businesses to increase productivity at a lower cost. It also helps build a smart enterprise link that let teams to focus only on their business related tasks.   A report by International Data Corporation stated that 30% of robotic applications which is based on commercial services will be in the form of a RaaS enterprise model, by 2019. This would definitely help reduce costs of robot deployment. The same report further predicts that more than 55% of robots will depend on cloud-based applications in order to define AI potentials and related applications, which will eventually lead to the formation of a AI based cloud market by around 2020.   The advent of the RaaS technology denotes a massive change in the service-based models in the technology sector. These models have a fast growth capability for adoption and offer an attractive value proposition to different industries and businesses. RaaS has the capability to develop new and improved enterprises prototypes.   A lot of RaaS providing industries like ESDS software solution Pvt. Ltd. can support and provide 24*7 support with incorporation of Artificial Intelligence technology and storage facilities used within industries. This helps cost cutting and also makes scaling of resources feasible with greater flexibility. With the rise in AI technology robots are more likely to get incorporated on cloud technology in a rapidly growing digital environment meant to craft an intelligent enterprise environment.
    158 Posted by manohar parakh
  • Don't you feel almost all technological facilities are related to cloud these days? Guess what these services also include, the robotic technology. The day is not far when RaaS will turn out to be a multi-million-dollar industry. The global expenditure of robotics and robot related services will reach around $135.4 bn by 2019 which was $71 billion in 2015, according to an International Data Corporation report. John Santagate, research manager at International Data Corporation Manufacturing said, "With the rise in investment in AI development Robotic capabilities will keep on rising with the driving competition in order to bring cut the expenditure related to AI technology”.   According to a report titled 'Global Robotics Technology Market, 2013-2020 ‘, the universal robotics technology market is likely to reach up to $82.7bn by the 2020, recorded a CAGR of 10.11% during 2014-2020. The key factor that drives the robotic industry is the growing need for reduced labor costs of most established nations and the increasing instances of supported living style. More and more enterprises have started to enter the industry hoping to evolve and refine automation techniques and customer services.   Service robots provide a benefit by taking up industry-related tasks that are usually challenging and seem risky. Various everyday jobs are taken over by robots that are difficult and require much more human effort. Robots ensure and offer a higher level of accuracy and precision. The major sectors to use the Robotics and AI technology is Factories and manufacturing sectors, that develop merchandises on the methods of medications have been benefited from the accuracy that AI tech has offered.   Talking about the ever-increasing consumer world, a lot of cloud based enterprises like ESDS has / had started building chat bots that can be used in customer service processes in order to provide assistance to consumers in making correct use of products and helping them save a lot in the bargain. Industrial application of bots not only helps reduce cost, but it also initiates major transformations to take place for a better customer experience.   It has been proved that AI enabled RaaS is a boon to various verticals of manufacturing industry which includes manufacturing sector that requires hefty functional tasks in data storehouses. The RaaS model is now becoming a commonplace in the Agro sector. Agricultural robots and drones are used in a variety of tasks and they are expected to US $12 bn in next 5 years to come.   Talking about the healthcare industry, bots are able to perform tedious operations, they can interact with patients also check status of their health and suggest further appointments. Grouping of Artificial Intelligence and bot technology has surprised everyone already with the evolution of a bot called Sophia. All the data that is been taken by robots in different verticals and service sectors can be stored in cloud. Data analytics can be performed on the stored data and this enables businesses to increase productivity at a lower cost. It also helps build a smart enterprise link that let teams to focus only on their business related tasks.   A report by International Data Corporation stated that 30% of robotic applications which is based on commercial services will be in the form of a RaaS enterprise model, by 2019. This would definitely help reduce costs of robot deployment. The same report further predicts that more than 55% of robots will depend on cloud-based applications in order to define AI potentials and related applications, which will eventually lead to the formation of a AI based cloud market by around 2020.   The advent of the RaaS technology denotes a massive change in the service-based models in the technology sector. These models have a fast growth capability for adoption and offer an attractive value proposition to different industries and businesses. RaaS has the capability to develop new and improved enterprises prototypes.   A lot of RaaS providing industries like ESDS software solution Pvt. Ltd. can support and provide 24*7 support with incorporation of Artificial Intelligence technology and storage facilities used within industries. This helps cost cutting and also makes scaling of resources feasible with greater flexibility. With the rise in AI technology robots are more likely to get incorporated on cloud technology in a rapidly growing digital environment meant to craft an intelligent enterprise environment.
    Apr 26, 2018 158
  • 23 Apr 2018
    Big Data is basically sets of data which are large in volume and cannot be processed through some traditional application software. The term big data is not new as it has been around since a long time and there has been many concepts related to the term. Even if the concept is not new in the industry, there is a lot of confusion revolving the true meaning of what big data actually is. When you work on a particular principle and start collecting knowledge on the similar, you start generating data which will be useful for you in the future to analyze the data and get further insights. Before computers and the rise of internet, the transactions were recorded on paper and archive files which were fundamentally data. Today computers allow us to save whatever data we have on spreadsheets and organize them in the most efficient way. Since the emergence of cloud computing, it has offered the best technology with a wide range of applications for various purposes in the most cost effective way. It is almost like a match made in heaven for big data and cloud computing because there is a lot of data and only cloud computing can provide that kind of compute power to process the data. Whatever we do almost leaves a digital trail as we generate data whenever we are on the internet. As cloud computing is transforming IT, huge amount of compute power is needed with the help of internet to store and analyze this data. Cloud computing has brought such a change that it has reshaped the way computers are being used to process data. Cloud has made it very simple for data storage in comparison with traditional data storage. Cloud computing provides scalable resources on demand and it has changed the way data is stored and processed. This is a powerful approach to analyze data provided by cloud computing and has become vital in the growth of big data in multiple industries. The full potential of what cloud computing can offer is not yet been realized due to lack of expertise and thus many enterprises fail to realize what can be achieved through cloud computing. Due to not implementing ‘Big Data’ in businesses in the way it should be, organizations are not growing because of not analyzing the data available to them. Combination of big data and cloud computing will help organizations in business analytics and will also improve their decision making in important parts of the business. The world can benefit from this combo and can have huge analytics advantage to generate information which is ideal for business continuity. Let’s take a look at the opportunities organizations can achieve by combining big data and cloud computing: Agility The traditional systems have proved to be slower since storing data and managing it is time consuming and is a tedious process. Since the adoption of cloud by organizations, it has been providing all the resources to run multiple virtual servers in cloud database seamlessly within matter of minutes. Affordability Organizations have a budget when they wish to switch to a particular technology and in this case, cloud is a blessing which is a top technology under a budget. Companies can choose the services they want according to their business and budget requirements. Applications and resources which are needed to manage big data don’t cost much and can be implemented by enterprises. Only pay for the amount of storage space you use and no additional charges will be incurred. Data processing Apache Hadoop is a big data analytics platform which processes structured and unstructured data. Social media alone generates a lot of data from blogs, posts, videos and photos which is difficult to analyze under a single category. Cloud takes care of the rest by making the whole process easy and accessible to any enterprise. Feasibility Traditional solutions require extra physical servers in the cluster for maximum processing power and storage space but the virtual nature of the cloud allows to allocate resources on demand. Scaling is a great option to get the desired processing power and storage space whenever required. Big data requires high data processing platform for analytics and there can be variations in demand which would be satisfied by only the cloud environment. Challenges to Big Data in the Cloud environment Big Data generates huge amounts of data and it is complicated to manage this amount of data on a traditional system. It is also difficult to analyze this data on the cloud platform to extract only the important bits. While moving large sets of data, there is often sensitive information like credit and debit card details/ addresses which is a major security concern. Businesses face high security concerns when they have their data on cloud. Attackers seem to come up with new ways to breach into the system which dents a company’s reputation and leads to cloud abuse. Replication of data is vital in case of an event where there are chances of losing data. Analysis of data is not possible in such case. Conclusion Big Data and Cloud Computing is a fit combination which allows processing of huge amounts of data on a platform which is scalable and will meet the resources needed to analyze data. Obviously there are opportunities and challenges when it comes these 2 technologies but isn’t that a part of the IT field?
    115 Posted by manohar parakh
  • Big Data is basically sets of data which are large in volume and cannot be processed through some traditional application software. The term big data is not new as it has been around since a long time and there has been many concepts related to the term. Even if the concept is not new in the industry, there is a lot of confusion revolving the true meaning of what big data actually is. When you work on a particular principle and start collecting knowledge on the similar, you start generating data which will be useful for you in the future to analyze the data and get further insights. Before computers and the rise of internet, the transactions were recorded on paper and archive files which were fundamentally data. Today computers allow us to save whatever data we have on spreadsheets and organize them in the most efficient way. Since the emergence of cloud computing, it has offered the best technology with a wide range of applications for various purposes in the most cost effective way. It is almost like a match made in heaven for big data and cloud computing because there is a lot of data and only cloud computing can provide that kind of compute power to process the data. Whatever we do almost leaves a digital trail as we generate data whenever we are on the internet. As cloud computing is transforming IT, huge amount of compute power is needed with the help of internet to store and analyze this data. Cloud computing has brought such a change that it has reshaped the way computers are being used to process data. Cloud has made it very simple for data storage in comparison with traditional data storage. Cloud computing provides scalable resources on demand and it has changed the way data is stored and processed. This is a powerful approach to analyze data provided by cloud computing and has become vital in the growth of big data in multiple industries. The full potential of what cloud computing can offer is not yet been realized due to lack of expertise and thus many enterprises fail to realize what can be achieved through cloud computing. Due to not implementing ‘Big Data’ in businesses in the way it should be, organizations are not growing because of not analyzing the data available to them. Combination of big data and cloud computing will help organizations in business analytics and will also improve their decision making in important parts of the business. The world can benefit from this combo and can have huge analytics advantage to generate information which is ideal for business continuity. Let’s take a look at the opportunities organizations can achieve by combining big data and cloud computing: Agility The traditional systems have proved to be slower since storing data and managing it is time consuming and is a tedious process. Since the adoption of cloud by organizations, it has been providing all the resources to run multiple virtual servers in cloud database seamlessly within matter of minutes. Affordability Organizations have a budget when they wish to switch to a particular technology and in this case, cloud is a blessing which is a top technology under a budget. Companies can choose the services they want according to their business and budget requirements. Applications and resources which are needed to manage big data don’t cost much and can be implemented by enterprises. Only pay for the amount of storage space you use and no additional charges will be incurred. Data processing Apache Hadoop is a big data analytics platform which processes structured and unstructured data. Social media alone generates a lot of data from blogs, posts, videos and photos which is difficult to analyze under a single category. Cloud takes care of the rest by making the whole process easy and accessible to any enterprise. Feasibility Traditional solutions require extra physical servers in the cluster for maximum processing power and storage space but the virtual nature of the cloud allows to allocate resources on demand. Scaling is a great option to get the desired processing power and storage space whenever required. Big data requires high data processing platform for analytics and there can be variations in demand which would be satisfied by only the cloud environment. Challenges to Big Data in the Cloud environment Big Data generates huge amounts of data and it is complicated to manage this amount of data on a traditional system. It is also difficult to analyze this data on the cloud platform to extract only the important bits. While moving large sets of data, there is often sensitive information like credit and debit card details/ addresses which is a major security concern. Businesses face high security concerns when they have their data on cloud. Attackers seem to come up with new ways to breach into the system which dents a company’s reputation and leads to cloud abuse. Replication of data is vital in case of an event where there are chances of losing data. Analysis of data is not possible in such case. Conclusion Big Data and Cloud Computing is a fit combination which allows processing of huge amounts of data on a platform which is scalable and will meet the resources needed to analyze data. Obviously there are opportunities and challenges when it comes these 2 technologies but isn’t that a part of the IT field?
    Apr 23, 2018 115
  • 17 Apr 2018
    Ever heard of Server less computing? If you haven’t you should know that it is the new buzz word in IT. The term ‘Server less Computing’ speaks about a form of deployment where the server is abstracted away. This does not mean that there are no servers, it’s just that you don’t have to provision the servers by yourself. It’s a modern way of hosting applications and services on infrastructure which is not managed by the end users. In server less computing, resources are provisioned on cloud only when a specific event occurs. Resources are no longer assigned only to stay idle until called upon. In some cases, server less infra can free your business from the overheads of maintaining infra, upgrades and provisioning servers.Time spent in configuring the cloud infrastructure for scalability is also reduced as server less computing promises faster delivery and highly-reliable software solutions. Serverless computing is a form of cloud computing, but in this case the Cloud Services Provider manages the provisioning of resources on run time basis rather than planning storage capacity in advance, and consumers just have to pay for what they use instead of buying blocks of storage in advance. It is much more granular, and thus more cost-effective as compared to the traditional cloud module. Applications may seem to be 'serverless' as server management, maintenance as well as capacity planning are completely hidden from the end users. The normalization of server less computing is a major hop towards spreading the capability to perform complex tasks without the need of expensive hardware. brands going from atlas Sian to vogue have made the jump to server less figuring, according to a presentation named ‘The State of Server less Computing’ by AWS.Let’s see what server less computing means on a technical level? It’s a process where developers can assemble services from small functions, these functions are building blocks of code. The small code blocks can be executed in response to particular request call using HTTPS/HTTP. These functions are sometimes-infrequent app components, triggered when needed by catalysts. This data is stored in a distinct environment that synchronizes with the active production environment.Why is Server less computing essential as a paradigm?Serverless computing is an evolution of the micro services approach to architecting applications and software’s. The idea behind this is to let the CSPs manage the fundamental compute infra and let developers focus only on the functionality that needs to be delivered. Here are some advantages:•    Ideal for event-driven scenarios:  The traditional auto-scaling feature can have critical warm-up times for clusters and scaling, both during up-scaling and down-scaling and it is also possible that it may not be in continuation. Serverless is a perfect computing model when it comes to execution of small blocks of code aka functions as they turn out to be the response to event triggers and you pay only for the fractional resource times that you actually consumed. Thus, saving a lot of expenses. Server less computing is optimal for event-driven architectures for example the IoT scenarios.•    Assemble low-cost micro services architecture: By going server less, a lot of cloud computing functions can be executed simultaneously. These functions are independent of each other in response to the event mirroring concurrently in the execution. The smaller blocks of code set up in server less computing are easy to manage and the testing becomes easy too. The various functions in the cloud environment can themselves expose clean, Representational State Transfer (RESTful) interfaces to work with more such functions of an app. Software developers can swiftly put together an architecture mirroring micro services by deploying several cloud functions that work together. Most leading platform developers are implementing this strategy to deploy software in a cost-effective way.Despite these advantages, there are some limitations in the server less environment. A restriction on the size of code is found and which when deployed supports only a few programming languages. Typical code blocks and monolithic i.e. single-tiered software application architectures, should also be avoided. Another limitation being that developers should be highly disciplined in the way they are using server less computing.Big savings with Serverless infraServer less paradigm helps cut on a lot of cost. About 60 per cent cost saving is achieved along with considerably lower administrative efforts. This calculation is based on an e-Commerce app using Lambda by Amazon Web Services which is a FaaS model, versus hosting the app on Amazon Elastic Compute Cloud (EC2) by Amazon Web Service and instances in a high availability architecture were calculated on hourly basis. Serverless computing is all set to rise as interest and adoption grow. Various tools to manage multiple kinds of functions and compound service incorporations are evolving using server less computing. Serverless frameworks along with commercial pre-packaged functions, are becoming popular, players like ESDS, Google, AWS and others will continue to rule the market in the future.
    48 Posted by manohar parakh
  • Ever heard of Server less computing? If you haven’t you should know that it is the new buzz word in IT. The term ‘Server less Computing’ speaks about a form of deployment where the server is abstracted away. This does not mean that there are no servers, it’s just that you don’t have to provision the servers by yourself. It’s a modern way of hosting applications and services on infrastructure which is not managed by the end users. In server less computing, resources are provisioned on cloud only when a specific event occurs. Resources are no longer assigned only to stay idle until called upon. In some cases, server less infra can free your business from the overheads of maintaining infra, upgrades and provisioning servers.Time spent in configuring the cloud infrastructure for scalability is also reduced as server less computing promises faster delivery and highly-reliable software solutions. Serverless computing is a form of cloud computing, but in this case the Cloud Services Provider manages the provisioning of resources on run time basis rather than planning storage capacity in advance, and consumers just have to pay for what they use instead of buying blocks of storage in advance. It is much more granular, and thus more cost-effective as compared to the traditional cloud module. Applications may seem to be 'serverless' as server management, maintenance as well as capacity planning are completely hidden from the end users. The normalization of server less computing is a major hop towards spreading the capability to perform complex tasks without the need of expensive hardware. brands going from atlas Sian to vogue have made the jump to server less figuring, according to a presentation named ‘The State of Server less Computing’ by AWS.Let’s see what server less computing means on a technical level? It’s a process where developers can assemble services from small functions, these functions are building blocks of code. The small code blocks can be executed in response to particular request call using HTTPS/HTTP. These functions are sometimes-infrequent app components, triggered when needed by catalysts. This data is stored in a distinct environment that synchronizes with the active production environment.Why is Server less computing essential as a paradigm?Serverless computing is an evolution of the micro services approach to architecting applications and software’s. The idea behind this is to let the CSPs manage the fundamental compute infra and let developers focus only on the functionality that needs to be delivered. Here are some advantages:•    Ideal for event-driven scenarios:  The traditional auto-scaling feature can have critical warm-up times for clusters and scaling, both during up-scaling and down-scaling and it is also possible that it may not be in continuation. Serverless is a perfect computing model when it comes to execution of small blocks of code aka functions as they turn out to be the response to event triggers and you pay only for the fractional resource times that you actually consumed. Thus, saving a lot of expenses. Server less computing is optimal for event-driven architectures for example the IoT scenarios.•    Assemble low-cost micro services architecture: By going server less, a lot of cloud computing functions can be executed simultaneously. These functions are independent of each other in response to the event mirroring concurrently in the execution. The smaller blocks of code set up in server less computing are easy to manage and the testing becomes easy too. The various functions in the cloud environment can themselves expose clean, Representational State Transfer (RESTful) interfaces to work with more such functions of an app. Software developers can swiftly put together an architecture mirroring micro services by deploying several cloud functions that work together. Most leading platform developers are implementing this strategy to deploy software in a cost-effective way.Despite these advantages, there are some limitations in the server less environment. A restriction on the size of code is found and which when deployed supports only a few programming languages. Typical code blocks and monolithic i.e. single-tiered software application architectures, should also be avoided. Another limitation being that developers should be highly disciplined in the way they are using server less computing.Big savings with Serverless infraServer less paradigm helps cut on a lot of cost. About 60 per cent cost saving is achieved along with considerably lower administrative efforts. This calculation is based on an e-Commerce app using Lambda by Amazon Web Services which is a FaaS model, versus hosting the app on Amazon Elastic Compute Cloud (EC2) by Amazon Web Service and instances in a high availability architecture were calculated on hourly basis. Serverless computing is all set to rise as interest and adoption grow. Various tools to manage multiple kinds of functions and compound service incorporations are evolving using server less computing. Serverless frameworks along with commercial pre-packaged functions, are becoming popular, players like ESDS, Google, AWS and others will continue to rule the market in the future.
    Apr 17, 2018 48
  • 17 Apr 2018
    What is Open Source? The term open source is a philosophy; it is an attitude that is driving people all around the world. Basically open source with respect to software means that you develop a software and make it freely available to the general public under any of the free licenses. People now can access its source, modify and re-distribute it, but while complying with the free license under which the original software was licensed. According to OpenSource.org, “Open source software is software that can be used freely, changed, and shared (in modified or unmodified form) by anyone. Open source software is made by many people, and distributed under licenses that comply with the open source definition.” By open sourcing a software, different people contribute to it and improve the software. Different people come together and collaborate to develop one good software. Open Source Software (OSS) has been around for a while now. We have been using such software from years. GNU/Linux Kernel based operating systems like Ubuntu, Fedora, RHEL, Linux Mint are a good example. Also the operating system on Android phones is Linux based. OSS from business perspective works similar to all other proprietary software's, but the difference is that users do not have to pay for them. However, the important difference here is that the user is effectively a co-developer, who can suggest different improvements in the software, or help fix bugs in the software or even get into the source code and modify it according to his/her needs which might make it even more better and then share it with others. Developing a software and giving it for free isn't open source. Richard Stallman, the software freedom activist and founder of GNU, quotes “When we call software ’free’, we mean that it respects the users' essential freedoms like the freedom to run it, change it and to redistribute copies with or without changes.” This is a matter of freedom not price, so think of ’free speech’ not ‘free beer’. These freedoms are vitally important. They are essential, not just for the individual users' sake, but for society as a whole because they promote social solidarity – that is, sharing and cooperation. Thus open source software must not be interpreted as “Free Software”, because there is a lot of difference between software which you can get for zero price, and a software which gives you the freedom to use it the way you want. You cannot look into the source code of a free software (zero priced software or a pirated software which is distributed freely), but you have access to the source code of an open source software. Well open sourcing a software has its own advantages. From a user’s perspective, the but obvious advantage is the software being freely available. A developer or programmer will be more than happy to get access of the source code, and do whatever he wants. Whereas on the other hand a software vendor, can cut off its annual software maintenance costs by open sourcing their software. Another great advantage is that, the software continuously evolves as more and more developers contribute to the software, add to it and modify it. This makes the software better, secure, bug free, as compared to proprietary software's. The best example is Linux kernel. The rate of development of Linux kernel is unmatched, these are the recent stats publicly announced by LinuxFoundation.org – “Nearly 12,000 developers from more than 1,200 companies have contributed to the Linux kernel since tracking began 10 years ago. The recent report said more than 4,000 developers from 200 companies have contributed to the kernel, half of whom contributed for the first time. The average number of changes accepted into the kernel per hour is 7.71, which translates to 185 changes every day and nearly 1,300 per week.” Today big players like Google, Facebook, Intel, Samsung, Red Hat, Canonical, Cisco, Yahoo etc. are promoting and contributing in open source activities. Need of open source! It all started with the frustration of not being able to tweak the software that were used. In early 1980s Richard Stallman, a computer programmer and hacker with a bunch of other guys were not allowed to modify the code of a newly installed laser printed at AI Labs where they used to work. Stallman had modified the source code of the lab's previously installed printer which used to send electronic notification to the user when the printing job used to get completed. Stallman wanted to add the same functionality to the newly installed printer but was refused to do so. This and few other similar events triggered the birth of open source software. Today in this rapidly developing digital era, open source software has an important role. Here are few well-known open source software's, and first of all the obvious and biggest open source project is the Linux Kernel, the well-known internet browser Mozilla, Apache web server that powers most of the world's websites, OpenSSL the project that keeps the internet secure and which is used by most of the organizations and government organization, GnuPG (GNU Privacy Guard) which is an encryption software used in most of the organizations for securing mails and files. Network Time Protocol (NTP) which synchronizes the time of all machines over the internet. The very well-known and widely used cloud software OpenStack is an open source software. These are just a few examples, the list goes on and on and on! Organizations like Linux Foundation which supports the development of Linux kernel as well as other open source projects, Apache Software Foundation which backs the development of Apache web server software used by most of the websites, etc. are few examples that prove the success and widespread of open source, its ideology and the software's that are making life easier and better. The point is people quickly adopt and collaborate to open source software's. Just because it gives them the freedom to freely use the software the way they want, modify it accordingly to their needs, help fix issues which benefits them as well as the community that is built around it. And most importantly the philosophy of open source is deeply rooted into people as they wish to collaborate and help build a better software. As previously stated, Linux kernel is the best example of an open source software. The success of the project is in the way it is developed and maintained by the community. Approximately every two months we have a new release of the Linux kernel. The reason is Linux kernel is being used in palm sized Raspberry Pi computers to super computers that are used in space stations, from cars to submarines that dive deep into the sea and the reason is just because it supports such a wide range of hardware. And it is because people from around the world collaborate and add patches to the Linux kernel which makes it support such hardware. Now that is the indirect outcome of “open source”. If Linus Torvalds, creator of Linux would have thought of keeping his project to himself then he would have ended up founding another Microsoft, and the world as it is now would have never been the same! The Future is Open! How does open source work? You find an open source software useful and start using it. Then you stumble across a bug, you would like to add a feature, you get in contact with the team. Then you submit the issue to a bug tracker, if you found one. f the team likes your idea then they themselves might ask you to write a patch for it. In most of the cases if it is easy, then you can yourself modify the code, do some tests and submit the patch. If the team accepts the patch and apply it then you are happy and your contribution makes the software even better. That was about contributing to the software that you use. What if you created an amazing software and now you want to go open source, again it is simple? You create a zip of your code and publish it on one of the open source software hosting sites like, github.com sourceforge.net, Once your project is published people will through it, and start collaborating. Well, the development of open source software happens collaboratively. Who are building products on top of pen source? The answer is, almost everyone! The tech giant, Google has contributed over 20 million lines of code from over 900 open source projects. The best example is Android – which is a software stack for mobile devices that is based on Linux. Chromium – web browser, Ganeti – cluster virtual server management software, Gerrit – web based code review system, Go – programming language, and many more. But Google isn't the only one, rival Facebook is also in the race. Even Facebook has a wide range of open source projects that span from Android to iOS, from the web to backend servers. Buck – is a build system for Android that helps in building reusable modules, Bolts – are few libraries for android and iOS that help building apps easier, react – is a JavaScript based library Flux – is an application architecture which are used for building web interfaces, Presto – is a distributed SQL query engine, HHVM – is a virtual machine designed to execute PHP programs with 5x increased throughput. Other big players like Red Hat, Intel and Canonical are also not lagging behind. Red Hat’s community driven Linux based operating systems CentOS and Fedora are very popular. Red Hat also has its own community driven version of OpenStack RDO and Jboss Developer which is an open source application server. Intel also has a big share in the open source world. One of them is Intel's Yocto Project- an initiative in developing shared development environment and tools for embedded developers. Ubuntu, the world’s most popular and widely used operating system is developed by Canonical. Canonical also has been developing wide range of open source software's, like Juju – which is a service orchestration tool for management and installation of cloud applications. Metal as a Service (MAAS) is another innovative project that helps to manage physical servers and cloud. Believe me, this article won’t be enough if we decide to list down all the open source projects that are currently being developed out there! India, being the world’s largest out sourcing destination also has companies that are keen in open source development. The best example is ESDS Software Solution (esds.co.in). Here at ESDS we foster the ideology of open source. We constantly encourage our colleagues to innovate and contribute to the open source community in every way that is possible. Our products eNlight™, eMagic and MtvScan are based on open source technologies. eNlight™ is an Intelligent and Highly scalable cloud orchestration software that has open source in its roots. eNlight™ has the capability to manage virtual machines running on different hypervisors like XenServer, Hyper-V. Unlike other cloud management software's, the scaling service of eNlight™ intelligently scales the resources of a virtual machine on the go, which reduces the cost to a large extent. One very unique feature eNlight™ is Pay per Consume i.e. you have to pay for CPU, RAM, and Bandwidth only when the VM uses it! This feature cuts down the expenses and is very unique to eNlight™. Different businesses have different needs, and thus every business needs a different and customizable cloud solution that perfectly satisfies it's needs and here comes eNlight™ into picture with its dynamic resource provisioning and scheduling. eNlight™ can also be deployed as a private cloud solution which supports wide range of hypervisors like, VMware, KVM, Xen Libvirt including XenServer and Hyper-V. eMagic is another innovative, in house developed data center management software, that simplifies and makes it easy to monitor and manage all the servers and resources in the data center. It is basically a web based system that is widely used for IT asset management, device deployment, and comprehensive server monitoring and network management in datacenters spread across different geo-locations. The revolutionary thing about eMagic is three click concept i.e. Build, Deploy and Manage. eMagic has auto discovery feature which helps customers to discover all devices and deploy them in rack in just two clicks. With three clicks concept, devices of multiple datacenters across multiple geo-locations can be managed easily. Support to Heterogeneous hypervisors for VM management makes it unique along with wide traditional features like IP SLA monitoring, net flow, alerts, reports and application monitoring. ITIL framework support for data center management like Change Management System, Incident Management System and Problem Management system are enterprise features of eMagic. MtvScan is an aggressive website security scanner that keep websites safe and secure. MTvScan works on websites based on different frameworks like WordPress, Joomla etc. It thoroughly scans for different vulnerabilities that might be present or show up and notifies the developer accordingly. MTvScan provides automatic CMS scanning and Agent based server side scanning. It proactively scans for malwares, Trojans, security threats, infections and botnets. MtvScan also provides specialized defense against Zero-Day Exploits, Advisory Security Patches, Fully Trusted and Tested Custom Security for Websites. open source software has changed the way we do things. Today it is affecting our day to day life. Moreover, it has got into our ethics and is shaping the digital culture. Everyone is doing something to contribute and share to the community, benefiting themselves and others at the same time. As in freedom of speech we have inherited the freedom to use software. And this is going to go a long way!
    75 Posted by manohar parakh
  • What is Open Source? The term open source is a philosophy; it is an attitude that is driving people all around the world. Basically open source with respect to software means that you develop a software and make it freely available to the general public under any of the free licenses. People now can access its source, modify and re-distribute it, but while complying with the free license under which the original software was licensed. According to OpenSource.org, “Open source software is software that can be used freely, changed, and shared (in modified or unmodified form) by anyone. Open source software is made by many people, and distributed under licenses that comply with the open source definition.” By open sourcing a software, different people contribute to it and improve the software. Different people come together and collaborate to develop one good software. Open Source Software (OSS) has been around for a while now. We have been using such software from years. GNU/Linux Kernel based operating systems like Ubuntu, Fedora, RHEL, Linux Mint are a good example. Also the operating system on Android phones is Linux based. OSS from business perspective works similar to all other proprietary software's, but the difference is that users do not have to pay for them. However, the important difference here is that the user is effectively a co-developer, who can suggest different improvements in the software, or help fix bugs in the software or even get into the source code and modify it according to his/her needs which might make it even more better and then share it with others. Developing a software and giving it for free isn't open source. Richard Stallman, the software freedom activist and founder of GNU, quotes “When we call software ’free’, we mean that it respects the users' essential freedoms like the freedom to run it, change it and to redistribute copies with or without changes.” This is a matter of freedom not price, so think of ’free speech’ not ‘free beer’. These freedoms are vitally important. They are essential, not just for the individual users' sake, but for society as a whole because they promote social solidarity – that is, sharing and cooperation. Thus open source software must not be interpreted as “Free Software”, because there is a lot of difference between software which you can get for zero price, and a software which gives you the freedom to use it the way you want. You cannot look into the source code of a free software (zero priced software or a pirated software which is distributed freely), but you have access to the source code of an open source software. Well open sourcing a software has its own advantages. From a user’s perspective, the but obvious advantage is the software being freely available. A developer or programmer will be more than happy to get access of the source code, and do whatever he wants. Whereas on the other hand a software vendor, can cut off its annual software maintenance costs by open sourcing their software. Another great advantage is that, the software continuously evolves as more and more developers contribute to the software, add to it and modify it. This makes the software better, secure, bug free, as compared to proprietary software's. The best example is Linux kernel. The rate of development of Linux kernel is unmatched, these are the recent stats publicly announced by LinuxFoundation.org – “Nearly 12,000 developers from more than 1,200 companies have contributed to the Linux kernel since tracking began 10 years ago. The recent report said more than 4,000 developers from 200 companies have contributed to the kernel, half of whom contributed for the first time. The average number of changes accepted into the kernel per hour is 7.71, which translates to 185 changes every day and nearly 1,300 per week.” Today big players like Google, Facebook, Intel, Samsung, Red Hat, Canonical, Cisco, Yahoo etc. are promoting and contributing in open source activities. Need of open source! It all started with the frustration of not being able to tweak the software that were used. In early 1980s Richard Stallman, a computer programmer and hacker with a bunch of other guys were not allowed to modify the code of a newly installed laser printed at AI Labs where they used to work. Stallman had modified the source code of the lab's previously installed printer which used to send electronic notification to the user when the printing job used to get completed. Stallman wanted to add the same functionality to the newly installed printer but was refused to do so. This and few other similar events triggered the birth of open source software. Today in this rapidly developing digital era, open source software has an important role. Here are few well-known open source software's, and first of all the obvious and biggest open source project is the Linux Kernel, the well-known internet browser Mozilla, Apache web server that powers most of the world's websites, OpenSSL the project that keeps the internet secure and which is used by most of the organizations and government organization, GnuPG (GNU Privacy Guard) which is an encryption software used in most of the organizations for securing mails and files. Network Time Protocol (NTP) which synchronizes the time of all machines over the internet. The very well-known and widely used cloud software OpenStack is an open source software. These are just a few examples, the list goes on and on and on! Organizations like Linux Foundation which supports the development of Linux kernel as well as other open source projects, Apache Software Foundation which backs the development of Apache web server software used by most of the websites, etc. are few examples that prove the success and widespread of open source, its ideology and the software's that are making life easier and better. The point is people quickly adopt and collaborate to open source software's. Just because it gives them the freedom to freely use the software the way they want, modify it accordingly to their needs, help fix issues which benefits them as well as the community that is built around it. And most importantly the philosophy of open source is deeply rooted into people as they wish to collaborate and help build a better software. As previously stated, Linux kernel is the best example of an open source software. The success of the project is in the way it is developed and maintained by the community. Approximately every two months we have a new release of the Linux kernel. The reason is Linux kernel is being used in palm sized Raspberry Pi computers to super computers that are used in space stations, from cars to submarines that dive deep into the sea and the reason is just because it supports such a wide range of hardware. And it is because people from around the world collaborate and add patches to the Linux kernel which makes it support such hardware. Now that is the indirect outcome of “open source”. If Linus Torvalds, creator of Linux would have thought of keeping his project to himself then he would have ended up founding another Microsoft, and the world as it is now would have never been the same! The Future is Open! How does open source work? You find an open source software useful and start using it. Then you stumble across a bug, you would like to add a feature, you get in contact with the team. Then you submit the issue to a bug tracker, if you found one. f the team likes your idea then they themselves might ask you to write a patch for it. In most of the cases if it is easy, then you can yourself modify the code, do some tests and submit the patch. If the team accepts the patch and apply it then you are happy and your contribution makes the software even better. That was about contributing to the software that you use. What if you created an amazing software and now you want to go open source, again it is simple? You create a zip of your code and publish it on one of the open source software hosting sites like, github.com sourceforge.net, Once your project is published people will through it, and start collaborating. Well, the development of open source software happens collaboratively. Who are building products on top of pen source? The answer is, almost everyone! The tech giant, Google has contributed over 20 million lines of code from over 900 open source projects. The best example is Android – which is a software stack for mobile devices that is based on Linux. Chromium – web browser, Ganeti – cluster virtual server management software, Gerrit – web based code review system, Go – programming language, and many more. But Google isn't the only one, rival Facebook is also in the race. Even Facebook has a wide range of open source projects that span from Android to iOS, from the web to backend servers. Buck – is a build system for Android that helps in building reusable modules, Bolts – are few libraries for android and iOS that help building apps easier, react – is a JavaScript based library Flux – is an application architecture which are used for building web interfaces, Presto – is a distributed SQL query engine, HHVM – is a virtual machine designed to execute PHP programs with 5x increased throughput. Other big players like Red Hat, Intel and Canonical are also not lagging behind. Red Hat’s community driven Linux based operating systems CentOS and Fedora are very popular. Red Hat also has its own community driven version of OpenStack RDO and Jboss Developer which is an open source application server. Intel also has a big share in the open source world. One of them is Intel's Yocto Project- an initiative in developing shared development environment and tools for embedded developers. Ubuntu, the world’s most popular and widely used operating system is developed by Canonical. Canonical also has been developing wide range of open source software's, like Juju – which is a service orchestration tool for management and installation of cloud applications. Metal as a Service (MAAS) is another innovative project that helps to manage physical servers and cloud. Believe me, this article won’t be enough if we decide to list down all the open source projects that are currently being developed out there! India, being the world’s largest out sourcing destination also has companies that are keen in open source development. The best example is ESDS Software Solution (esds.co.in). Here at ESDS we foster the ideology of open source. We constantly encourage our colleagues to innovate and contribute to the open source community in every way that is possible. Our products eNlight™, eMagic and MtvScan are based on open source technologies. eNlight™ is an Intelligent and Highly scalable cloud orchestration software that has open source in its roots. eNlight™ has the capability to manage virtual machines running on different hypervisors like XenServer, Hyper-V. Unlike other cloud management software's, the scaling service of eNlight™ intelligently scales the resources of a virtual machine on the go, which reduces the cost to a large extent. One very unique feature eNlight™ is Pay per Consume i.e. you have to pay for CPU, RAM, and Bandwidth only when the VM uses it! This feature cuts down the expenses and is very unique to eNlight™. Different businesses have different needs, and thus every business needs a different and customizable cloud solution that perfectly satisfies it's needs and here comes eNlight™ into picture with its dynamic resource provisioning and scheduling. eNlight™ can also be deployed as a private cloud solution which supports wide range of hypervisors like, VMware, KVM, Xen Libvirt including XenServer and Hyper-V. eMagic is another innovative, in house developed data center management software, that simplifies and makes it easy to monitor and manage all the servers and resources in the data center. It is basically a web based system that is widely used for IT asset management, device deployment, and comprehensive server monitoring and network management in datacenters spread across different geo-locations. The revolutionary thing about eMagic is three click concept i.e. Build, Deploy and Manage. eMagic has auto discovery feature which helps customers to discover all devices and deploy them in rack in just two clicks. With three clicks concept, devices of multiple datacenters across multiple geo-locations can be managed easily. Support to Heterogeneous hypervisors for VM management makes it unique along with wide traditional features like IP SLA monitoring, net flow, alerts, reports and application monitoring. ITIL framework support for data center management like Change Management System, Incident Management System and Problem Management system are enterprise features of eMagic. MtvScan is an aggressive website security scanner that keep websites safe and secure. MTvScan works on websites based on different frameworks like WordPress, Joomla etc. It thoroughly scans for different vulnerabilities that might be present or show up and notifies the developer accordingly. MTvScan provides automatic CMS scanning and Agent based server side scanning. It proactively scans for malwares, Trojans, security threats, infections and botnets. MtvScan also provides specialized defense against Zero-Day Exploits, Advisory Security Patches, Fully Trusted and Tested Custom Security for Websites. open source software has changed the way we do things. Today it is affecting our day to day life. Moreover, it has got into our ethics and is shaping the digital culture. Everyone is doing something to contribute and share to the community, benefiting themselves and others at the same time. As in freedom of speech we have inherited the freedom to use software. And this is going to go a long way!
    Apr 17, 2018 75
  • 05 Mar 2018
    In this era of Information Technology, executives are not looking at cloud as just a tool to leverage their infrastructure anymore. They are now exploring optimal ways to use cloud technology in order to strategize their business goals in 2018. The cloud journey began from a personal storage system to an organization’s storage system and that's how cloud has humbly evolved giving large organizations the ability to adopt to connect better. However, a major challenge that cloud service providers face today is to prove their security ability. The industry is still hesitating to move their entire data to cloud. But it seems like 2018 will be the year when all these aspirations about safety are cast aside and cloud adoption rises in proportion to its benefits like mobility, greater than before efficiency, cost-effectiveness, simplified collaboration and high speed connectivity. Here are some numbers that will make cloud, the most relevant IT topic in 2018: More than 50% of enterprises will be adopting applications, platforms and services enabled by cloud in order to drive digital revolution by the end of 2018, predicts a recent survey by Forrester. Cloud computing spending is expected to grow at a whopping rate of 6x the rate of IT spending through 2020 and it is found to be growing at 4.5 times the rate of IT spending since 2009, says an IDC research report. The same report also predicts that half of the IT spending will be cloud-based by the end of 2018, reaching up to 60% of entire IT infra, and 60-70% of all applications, technology, and services spending by 2020. The Silicon ANGLE determines that cloud spending for enterprises is growing at a 16% CAGR (compound annual growth rate) from 2016 to 2026. Which cloud trends should strategic businesses and IT executives prepare for in 2018? Massive growth in cloud solutions A recent study from Bain & Co, KPMG and Statistics says that as long as cloud is growing, it’s natural for Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), function as a service (FaaS), backend as a service (BaaS) to grow aggressively too. SaaS is a software license service on a subscription basis and it’s hosted centrally. Currently, this sector is influenced by key players like Google Apps and Salesforce, and new companies are likely to jump in the competition. The growth rate for SaaS is predicted to be 18% CAGR by 2020. The PaaS offers a safe platform which gives customers a chance to develop, launch and manage applications in a modest way rather than having to build and maintain the infra by yourself. The growth rate of PaaS has been remarkable; it has been predicted that the adoption rate will escalate from 32% in 2017 and is supposed to reach 56% in 2020. IaaS provides a virtual resource service on the web and is dominated by Google Compute Engine (GCE), Azure, Amazon Web, AWS and IBM Bluemix. IaaS market is predicted to go over $17B in 2018. We saw positive performance in cloud sector services. Hence, we can expect greater cloud sector growth in 2018 and later. Continuous increase in cloud storage capacity A total amount of about 370 EB (Exabyte) data is stored in data centers presently and the global cloud storage capacity at the end of 2017 was upto 600 EB. These numbers are set to amplify the total capacity of 1.1 ZB (Zettabyte) in 2018 which nearly doubles the storage available in 2017 according to a survey by Cisco. Sharing of families and friend’s storage is going to now become a common practice in 2018 and will be used in place of applications like Google Drive and Dropbox. Server-less cloud computing is on the rise The server-less technology that allows developers to build and run application services without managing any server or infrastructure will take the center stage in 2018. The merits of not having to manage any infra makes Server-less Cloud Computing a trend in 2018 as it allows developers to connect cloud services and improve efficiency. Comparatively less time and effort is required to manage server-less cloud computing and also, release of new updates is easy and less complex. Cloud technology will continue its growth in 2018 and beyond and there’s no doubt in it. So organizations must position themselves in such a way such that they can actively participate in early cloud adoption, security and further development to achieve business goals in IT. Growing demand for cloud-based container system An alternate to a virtual machine, the cloud-based container system as service, is in demand. It allows apps to be deployed in a quick and straightforward manner. It also delivers better infra security and allows quick releases of new software modules and features to run smoothly. It’s possible for CSPs to offer hosted container management services and at the same time segregate the platforms from each other using cloud container systems. The year 2018 will see full implementation of cloud container system by key players in the technology sector. Artificial Intelligence & Machine Learning (AI/ML) will take center stage AI & ML are now set to revolutionize cloud solution. Major companies in the Artificial Intelligence & Machine Learning division are IBM, Google, Microsoft and Amazon Web Services. These tech giants are already making use of both these technologies to deliver cloud-based services geared to drive business growth. The rise of 5G network and upgraded internet speed The most awaited fifth-generation network (5G) is surely set to rule 2018. There is enormous amount of data generated on daily basis and the store rate has also increased tremendously, so internet speed also needs to be upgraded for a better user experience. And we know 2018 is likely to be the Gigabyte year where the transformation from LTE to 5G full capacity network will take place, and network providers are already working towards a better and faster connection to support cloud solutions and services to function seamlessly.
    55 Posted by manohar parakh
  • In this era of Information Technology, executives are not looking at cloud as just a tool to leverage their infrastructure anymore. They are now exploring optimal ways to use cloud technology in order to strategize their business goals in 2018. The cloud journey began from a personal storage system to an organization’s storage system and that's how cloud has humbly evolved giving large organizations the ability to adopt to connect better. However, a major challenge that cloud service providers face today is to prove their security ability. The industry is still hesitating to move their entire data to cloud. But it seems like 2018 will be the year when all these aspirations about safety are cast aside and cloud adoption rises in proportion to its benefits like mobility, greater than before efficiency, cost-effectiveness, simplified collaboration and high speed connectivity. Here are some numbers that will make cloud, the most relevant IT topic in 2018: More than 50% of enterprises will be adopting applications, platforms and services enabled by cloud in order to drive digital revolution by the end of 2018, predicts a recent survey by Forrester. Cloud computing spending is expected to grow at a whopping rate of 6x the rate of IT spending through 2020 and it is found to be growing at 4.5 times the rate of IT spending since 2009, says an IDC research report. The same report also predicts that half of the IT spending will be cloud-based by the end of 2018, reaching up to 60% of entire IT infra, and 60-70% of all applications, technology, and services spending by 2020. The Silicon ANGLE determines that cloud spending for enterprises is growing at a 16% CAGR (compound annual growth rate) from 2016 to 2026. Which cloud trends should strategic businesses and IT executives prepare for in 2018? Massive growth in cloud solutions A recent study from Bain & Co, KPMG and Statistics says that as long as cloud is growing, it’s natural for Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), function as a service (FaaS), backend as a service (BaaS) to grow aggressively too. SaaS is a software license service on a subscription basis and it’s hosted centrally. Currently, this sector is influenced by key players like Google Apps and Salesforce, and new companies are likely to jump in the competition. The growth rate for SaaS is predicted to be 18% CAGR by 2020. The PaaS offers a safe platform which gives customers a chance to develop, launch and manage applications in a modest way rather than having to build and maintain the infra by yourself. The growth rate of PaaS has been remarkable; it has been predicted that the adoption rate will escalate from 32% in 2017 and is supposed to reach 56% in 2020. IaaS provides a virtual resource service on the web and is dominated by Google Compute Engine (GCE), Azure, Amazon Web, AWS and IBM Bluemix. IaaS market is predicted to go over $17B in 2018. We saw positive performance in cloud sector services. Hence, we can expect greater cloud sector growth in 2018 and later. Continuous increase in cloud storage capacity A total amount of about 370 EB (Exabyte) data is stored in data centers presently and the global cloud storage capacity at the end of 2017 was upto 600 EB. These numbers are set to amplify the total capacity of 1.1 ZB (Zettabyte) in 2018 which nearly doubles the storage available in 2017 according to a survey by Cisco. Sharing of families and friend’s storage is going to now become a common practice in 2018 and will be used in place of applications like Google Drive and Dropbox. Server-less cloud computing is on the rise The server-less technology that allows developers to build and run application services without managing any server or infrastructure will take the center stage in 2018. The merits of not having to manage any infra makes Server-less Cloud Computing a trend in 2018 as it allows developers to connect cloud services and improve efficiency. Comparatively less time and effort is required to manage server-less cloud computing and also, release of new updates is easy and less complex. Cloud technology will continue its growth in 2018 and beyond and there’s no doubt in it. So organizations must position themselves in such a way such that they can actively participate in early cloud adoption, security and further development to achieve business goals in IT. Growing demand for cloud-based container system An alternate to a virtual machine, the cloud-based container system as service, is in demand. It allows apps to be deployed in a quick and straightforward manner. It also delivers better infra security and allows quick releases of new software modules and features to run smoothly. It’s possible for CSPs to offer hosted container management services and at the same time segregate the platforms from each other using cloud container systems. The year 2018 will see full implementation of cloud container system by key players in the technology sector. Artificial Intelligence & Machine Learning (AI/ML) will take center stage AI & ML are now set to revolutionize cloud solution. Major companies in the Artificial Intelligence & Machine Learning division are IBM, Google, Microsoft and Amazon Web Services. These tech giants are already making use of both these technologies to deliver cloud-based services geared to drive business growth. The rise of 5G network and upgraded internet speed The most awaited fifth-generation network (5G) is surely set to rule 2018. There is enormous amount of data generated on daily basis and the store rate has also increased tremendously, so internet speed also needs to be upgraded for a better user experience. And we know 2018 is likely to be the Gigabyte year where the transformation from LTE to 5G full capacity network will take place, and network providers are already working towards a better and faster connection to support cloud solutions and services to function seamlessly.
    Mar 05, 2018 55
  • 18 Feb 2018
    What do you mean by Data Center Services?   Data Center Services is an umbrella term used to describe services which create, execute, enhance or maintain a data center for an organization. Basically, data center services include all the facilities related to IT components and activities. It can involve software, hardware, personnel and processes.   Types of Data Centers   Enterprise Data Centers   Previously, enterprises built their own data centers on their own sites. However, building private data centers has not quite proved to be the best investment of companies’ precious capital because considering the construction and maintenance costs. CEOs and CIOs started realizing that these financial resources could be used in business development.   Managed Service Provider   Managed Service Provider remotely controls customers’ IT infrastructure proactively on a subscription model. The IT infrastructure is on the service providers’ sites and the services are provided to the end customers remotely. There are various pricing models which change according to number of devices and users based on the IT support and management services.   Colocation   A colocation data center facility is a business where the customer rents space in the providers’ premises for computing hardware. A colocation service provides building, cooling, power and physical security while the customer provides storage and servers. The main reason businesses choose colocation service is the CAPEX related with building, maintenance and taking care of large computing facilities.     Wholesale Data Centers   Wholesale Data Center also known as Multi-Tenant Data Center benefits large companies which need large portions of space than a typical colocation provider would offer. A wholesale data center service provider would generally offer huge space to customers who need more space for their IT hardware. Wholesale colocation is generally offered at cheaper rates compared to retail colocation.   Data Center Facilities & Services   Data Center facilities include   In-house Facilities   An organization can have in-house facilities where they can design, build and operate a data center in their own premises. There is no involvement of a third party because the organization takes it on them to provide the necessary requirements to run their operations. An experienced IT team is necessary to maintain a complex data center architecture.   Colocation Facilities   Colocation facilities are provided by a third party and is the exact opposite of in-house facilities because they are multi-tenant accessible. Multiple businesses can choose to house their equipment in third party data centers. Customers can choose solutions which are specific to their business when buying colocation facilities.   Dedicated Hosting   In a dedicated hosting solution, customers have full control over the server allocated to them. The server and storage is completely dedicated to one customer or one business for a single purpose. The customer manages all the hardware himself and maintains the equipment without sharing it with any other customers.   Managed Hosting   Managed hosting is similar to dedicated hosting as it falls under similar conventions but provides an additional set of features to customers who use their servers. The additional services include database and system administration, managed security, system monitoring, application management services and much more. The hardware may be owned by the provider or the customer but the management of those servers is the responsibility of the provider and not the customer.   Shared Hosting   In a shared hosting environment, the customer shares the server as it acts as a host to multiple clients or businesses. The shared hosting includes sharing of the applications and software within the physical server. The hosting provider deploys an interface which allows multiple customers to customize their services according to their business needs. Shared hosting is cost-efficient because there is no need to employ technical staff to manage your website and also the cost of the server is shared.   Data Center Infrastructure Management (DCIM)   Data center infrastructure management tools tracks the performance of IT related equipment to analyze data about infrastructure components such as servers, storage, network, etc. It also helps in decision-making process as well as aids in optimal use IT hardware. DCIM tools enable data centers to control storage, power and cooling in real time. The tools basically administer relationship between the facility and the IT systems. The energy monitoring sensors can be installed in the data center to analyze power usage effectiveness and cooling system energy efficiency. This type of approach is called Continuous Modeling which allows the IT head to observe the changes in the infrastructure and take decisions based on the data.   Data Center Operations   The processes which are performed within a data center are basically known as data center operations. There are infrastructure operations which include installing, managing, monitoring and updating servers along with storage and network resources. Security is essential for any data center which includes physical and logical security in the premises. Management of all the processes within the data center should be taken care of along with monitoring of policies. To let your data center function smoothly it is essential to consider the consistency of operations which ensures continuous availability of facilities.   Conclusion Enterprises can no longer ignore the fact that data centers have become very essential for the functioning of big business. Data centers have become a key parameter of any business when it comes to IT infrastructure requirements. Particular interruptions in your data center can bring your business to its knees and thus, it is important to have strategies in place.
    92 Posted by manohar parakh
  • What do you mean by Data Center Services?   Data Center Services is an umbrella term used to describe services which create, execute, enhance or maintain a data center for an organization. Basically, data center services include all the facilities related to IT components and activities. It can involve software, hardware, personnel and processes.   Types of Data Centers   Enterprise Data Centers   Previously, enterprises built their own data centers on their own sites. However, building private data centers has not quite proved to be the best investment of companies’ precious capital because considering the construction and maintenance costs. CEOs and CIOs started realizing that these financial resources could be used in business development.   Managed Service Provider   Managed Service Provider remotely controls customers’ IT infrastructure proactively on a subscription model. The IT infrastructure is on the service providers’ sites and the services are provided to the end customers remotely. There are various pricing models which change according to number of devices and users based on the IT support and management services.   Colocation   A colocation data center facility is a business where the customer rents space in the providers’ premises for computing hardware. A colocation service provides building, cooling, power and physical security while the customer provides storage and servers. The main reason businesses choose colocation service is the CAPEX related with building, maintenance and taking care of large computing facilities.     Wholesale Data Centers   Wholesale Data Center also known as Multi-Tenant Data Center benefits large companies which need large portions of space than a typical colocation provider would offer. A wholesale data center service provider would generally offer huge space to customers who need more space for their IT hardware. Wholesale colocation is generally offered at cheaper rates compared to retail colocation.   Data Center Facilities & Services   Data Center facilities include   In-house Facilities   An organization can have in-house facilities where they can design, build and operate a data center in their own premises. There is no involvement of a third party because the organization takes it on them to provide the necessary requirements to run their operations. An experienced IT team is necessary to maintain a complex data center architecture.   Colocation Facilities   Colocation facilities are provided by a third party and is the exact opposite of in-house facilities because they are multi-tenant accessible. Multiple businesses can choose to house their equipment in third party data centers. Customers can choose solutions which are specific to their business when buying colocation facilities.   Dedicated Hosting   In a dedicated hosting solution, customers have full control over the server allocated to them. The server and storage is completely dedicated to one customer or one business for a single purpose. The customer manages all the hardware himself and maintains the equipment without sharing it with any other customers.   Managed Hosting   Managed hosting is similar to dedicated hosting as it falls under similar conventions but provides an additional set of features to customers who use their servers. The additional services include database and system administration, managed security, system monitoring, application management services and much more. The hardware may be owned by the provider or the customer but the management of those servers is the responsibility of the provider and not the customer.   Shared Hosting   In a shared hosting environment, the customer shares the server as it acts as a host to multiple clients or businesses. The shared hosting includes sharing of the applications and software within the physical server. The hosting provider deploys an interface which allows multiple customers to customize their services according to their business needs. Shared hosting is cost-efficient because there is no need to employ technical staff to manage your website and also the cost of the server is shared.   Data Center Infrastructure Management (DCIM)   Data center infrastructure management tools tracks the performance of IT related equipment to analyze data about infrastructure components such as servers, storage, network, etc. It also helps in decision-making process as well as aids in optimal use IT hardware. DCIM tools enable data centers to control storage, power and cooling in real time. The tools basically administer relationship between the facility and the IT systems. The energy monitoring sensors can be installed in the data center to analyze power usage effectiveness and cooling system energy efficiency. This type of approach is called Continuous Modeling which allows the IT head to observe the changes in the infrastructure and take decisions based on the data.   Data Center Operations   The processes which are performed within a data center are basically known as data center operations. There are infrastructure operations which include installing, managing, monitoring and updating servers along with storage and network resources. Security is essential for any data center which includes physical and logical security in the premises. Management of all the processes within the data center should be taken care of along with monitoring of policies. To let your data center function smoothly it is essential to consider the consistency of operations which ensures continuous availability of facilities.   Conclusion Enterprises can no longer ignore the fact that data centers have become very essential for the functioning of big business. Data centers have become a key parameter of any business when it comes to IT infrastructure requirements. Particular interruptions in your data center can bring your business to its knees and thus, it is important to have strategies in place.
    Feb 18, 2018 92
  • 13 Feb 2018
    Almost all tech savvy people these days know about the potential of cloud computing technology and how cloud platform has already affected businesses by effectively storing data and balancing the existing workloads is also known. Because cloud computing is the cutting-edge technology, a lot of companies need time to think and understand how cloud will continue to rise with time. Cloud technology saw major changes when change in trends like rise of mobile started replacing computers and when rise in Internet of Things (IoT) platform came into picture. The big dream now is to see how artificial intelligence (AI) improvises cloud just the way cloud technology has improvised AI development. According to a research by one of the biggest cloud company IBM, stated that the union of AI and cloud “insures to be a means to accelerate change and also be a source of innovation” The cloud can provide AI systems with all the information they need to learn from, at the same time the AI systems can provide information which can give cloud more data. The AI-cloud marriage can escalate the rate at which AI is developing, and the determination of cloud giants to research into AI shows that these are not just words. Also a study by IBM, “The cognitive advantage,” discloses that about 65 per cent of early adopters consider AI to be an important factor for their organizations success. And more than half say that AI is essential for digital transformation. As the capabilities of AI rise, so will the demand for cloud technology. Artificial Intelligence enabled by cloud About 90% of early cloud adopters claim that cloud technology will play an important role in their Artificial Intelligence initiatives in coming years. And more than 55% of users chose cloud-based services and are leveraging SaaS & PaaS to execute and deploy AI-infused cloud results. The early adopters have also share their experiences and claimed that enabling cloud technology will play a significant role in AI adoption. Hence we can say that pervasive AI is supported by pervasive cloud. AI in the cloud today We have seen a giant amount of investment on the capabilities of AI in the cloud platforms in the last few years. With tech-giants like Google, Amazon, Microsoft leading the charge, many PaaS solutions have also started integrating AI abilities. After analyzing the present-day scenario of the cloud-AI technology, we can classify it into two major groups: Cloud Machine Learning (ML) Platforms: Modern day technologies like AWS ML, Azure ML and the upcoming Google Cloud ML use a specific technology that is held responsible for powering the creation of machine learning models. But excepting Google Cloud ML that leverages Tensor Flow can be difficult because a large number of cloud ML technologies won’t permit implementation of AI programs coded in conventional AI. AI Cloud Services: Technologies that support AI platform for business like IBM Watson, Google Cloud Vision, Microsoft Cognitive Services or Natural Language application programming interfaces allow abstract complex AI capabilities via simple API calls. Using this you can incorporate AI capabilities without investing in sophisticated AI infra. The AI technologies are bound to evolve with time and cloud platforms will switch from the level of basic support for AI capabilities to a much flexible model where AI programs are as widely supported as web and databases function today. Can AI power the next phase of cloud technology? The cloud technology is a well-established technology trend that is majorly ruled by IT companies like ESDS, Google, Amazon, etc. AI definitely carries unique features that can influence various next generations of cloud computing platforms. AI requires support for brand new programming paradigms also needs a new computing infrastructure. So, we can expect AI capabilities to be held and incorporated by the cloud as a principle element of its infrastructures. Also we can expect to see the advent of a new generation of cloud platforms powered by AI. Maybe we are entering the era of the AI-first cloud. How to transform your business with artificial intelligence in the cloud? A form of AI that businesses are increasingly resorting to are Chatbots that enhance their online presence. ESDS’ new chatbot service for the banking and other sectors hinges on Natural Language Processing system. This makes conversations with chatbots more ‘real’ since they are enriched with Neural Networking, predicting user-intent and executing the required dialog flow. Businesses these days undeniably need Artificial Intelligence and business proprietors need AI technology to improvise the way they operate and help keep them ahead of their competitors. The greatest benefit of AI technology is the ability to improve efficiency of the businesses, according to the Economist Intelligence Unit’s 2016 survey. This also means AI can also be tedious tasks like predictive maintenance, product design, or streamlining logistics and cloud can make AI easier and cheaper to be executed. Demand for data scientists is rapidly increasing, and it will exceed supply to more than 50% in the next few years. Early AI adopters also expect that AI should solve the existing scarcity of data science talent. Business owners want AI to help them visualize, analyze, and strategize around large sets of data and AI is found to fills the gap by enabling the processing of big data. A survey held in 2016 by Narrative Science found that businesses and tech executives who used AI conveyed higher confidence in their ability to use big data. The combination of AI and cloud is shaping up to be a disruptive force across a lot of industry verticals. A survey by the Transparency Market Research predicted that using “machine learning (ML) as a service” the market is expected to grow from $1.07 billion in 2016 to $19.86 billion by 2025. This AI-cloud relation not only creates a new way of thinking about other existing technologies and methodologies also brings a new degree of accessibility to AI technology. Thanks to cloud, AI technology is now available for your businesses. And this is not a myth or just an idea. This is real and truly functional. Talking about the evolution of AI, it hasn’t arrived fully. There are still a lot of challenges on the way for AI technology. But experimentation is the best way of overcoming these challenges. Cloud and AI are digitally converting the way we interact with the world.
    442 Posted by manohar parakh
  • Almost all tech savvy people these days know about the potential of cloud computing technology and how cloud platform has already affected businesses by effectively storing data and balancing the existing workloads is also known. Because cloud computing is the cutting-edge technology, a lot of companies need time to think and understand how cloud will continue to rise with time. Cloud technology saw major changes when change in trends like rise of mobile started replacing computers and when rise in Internet of Things (IoT) platform came into picture. The big dream now is to see how artificial intelligence (AI) improvises cloud just the way cloud technology has improvised AI development. According to a research by one of the biggest cloud company IBM, stated that the union of AI and cloud “insures to be a means to accelerate change and also be a source of innovation” The cloud can provide AI systems with all the information they need to learn from, at the same time the AI systems can provide information which can give cloud more data. The AI-cloud marriage can escalate the rate at which AI is developing, and the determination of cloud giants to research into AI shows that these are not just words. Also a study by IBM, “The cognitive advantage,” discloses that about 65 per cent of early adopters consider AI to be an important factor for their organizations success. And more than half say that AI is essential for digital transformation. As the capabilities of AI rise, so will the demand for cloud technology. Artificial Intelligence enabled by cloud About 90% of early cloud adopters claim that cloud technology will play an important role in their Artificial Intelligence initiatives in coming years. And more than 55% of users chose cloud-based services and are leveraging SaaS & PaaS to execute and deploy AI-infused cloud results. The early adopters have also share their experiences and claimed that enabling cloud technology will play a significant role in AI adoption. Hence we can say that pervasive AI is supported by pervasive cloud. AI in the cloud today We have seen a giant amount of investment on the capabilities of AI in the cloud platforms in the last few years. With tech-giants like Google, Amazon, Microsoft leading the charge, many PaaS solutions have also started integrating AI abilities. After analyzing the present-day scenario of the cloud-AI technology, we can classify it into two major groups: Cloud Machine Learning (ML) Platforms: Modern day technologies like AWS ML, Azure ML and the upcoming Google Cloud ML use a specific technology that is held responsible for powering the creation of machine learning models. But excepting Google Cloud ML that leverages Tensor Flow can be difficult because a large number of cloud ML technologies won’t permit implementation of AI programs coded in conventional AI. AI Cloud Services: Technologies that support AI platform for business like IBM Watson, Google Cloud Vision, Microsoft Cognitive Services or Natural Language application programming interfaces allow abstract complex AI capabilities via simple API calls. Using this you can incorporate AI capabilities without investing in sophisticated AI infra. The AI technologies are bound to evolve with time and cloud platforms will switch from the level of basic support for AI capabilities to a much flexible model where AI programs are as widely supported as web and databases function today. Can AI power the next phase of cloud technology? The cloud technology is a well-established technology trend that is majorly ruled by IT companies like ESDS, Google, Amazon, etc. AI definitely carries unique features that can influence various next generations of cloud computing platforms. AI requires support for brand new programming paradigms also needs a new computing infrastructure. So, we can expect AI capabilities to be held and incorporated by the cloud as a principle element of its infrastructures. Also we can expect to see the advent of a new generation of cloud platforms powered by AI. Maybe we are entering the era of the AI-first cloud. How to transform your business with artificial intelligence in the cloud? A form of AI that businesses are increasingly resorting to are Chatbots that enhance their online presence. ESDS’ new chatbot service for the banking and other sectors hinges on Natural Language Processing system. This makes conversations with chatbots more ‘real’ since they are enriched with Neural Networking, predicting user-intent and executing the required dialog flow. Businesses these days undeniably need Artificial Intelligence and business proprietors need AI technology to improvise the way they operate and help keep them ahead of their competitors. The greatest benefit of AI technology is the ability to improve efficiency of the businesses, according to the Economist Intelligence Unit’s 2016 survey. This also means AI can also be tedious tasks like predictive maintenance, product design, or streamlining logistics and cloud can make AI easier and cheaper to be executed. Demand for data scientists is rapidly increasing, and it will exceed supply to more than 50% in the next few years. Early AI adopters also expect that AI should solve the existing scarcity of data science talent. Business owners want AI to help them visualize, analyze, and strategize around large sets of data and AI is found to fills the gap by enabling the processing of big data. A survey held in 2016 by Narrative Science found that businesses and tech executives who used AI conveyed higher confidence in their ability to use big data. The combination of AI and cloud is shaping up to be a disruptive force across a lot of industry verticals. A survey by the Transparency Market Research predicted that using “machine learning (ML) as a service” the market is expected to grow from $1.07 billion in 2016 to $19.86 billion by 2025. This AI-cloud relation not only creates a new way of thinking about other existing technologies and methodologies also brings a new degree of accessibility to AI technology. Thanks to cloud, AI technology is now available for your businesses. And this is not a myth or just an idea. This is real and truly functional. Talking about the evolution of AI, it hasn’t arrived fully. There are still a lot of challenges on the way for AI technology. But experimentation is the best way of overcoming these challenges. Cloud and AI are digitally converting the way we interact with the world.
    Feb 13, 2018 442
  • 09 Feb 2018
    Many of us have seen the option of ‘cloud storage’ on our smart phones, but we hardly ever use it or explore it. Till our mobiles take care of storing our photos, videos, apps and other things in its RAM, internal storage as well as external memory cards, we don’t bother understanding more about Mobile Cloud Storage. Investing in phones with huge inbuilt memories has become the ‘it’ thing now. However, only a tech-savvy few understand that it is more practical to use the cloud storage option than spending extra money on inbuilt storage. What does it mean to opt for ‘cloud storage’ on your phone and why is it a more beneficial option? Let’s read on to know more… Mobile cloud storage Mobile cloud storage is basically a form of cloud storage that can be used to store your mobile device data. This data once stored on the mobile cloud can be accessed anywhere and at any time on your phone in an area with internet connectivity. Mobile cloud storage platform also facilitates syncing and sharing the data with other multiple devices like other phones, tablets, PCs and laptops. This type of storage is also many a times called as pocket cloud storage, personal cloud storage or storage on the go. With the advent in mobile technology, it has become imperative that our smart phones today perform more complex functions. Due to limited storage, energy and computational power, phones have to utilize the cloud storage services to complete tasks efficiently. In simple terms, mobile cloud storage means that files can be saved on cloud from the phone. It also involves offloading service which means that tasks, especially those which are computational intensive, can be moved to cloud as well to save battery and CPU usage. Service providers Many mobile cloud storage providers exist in the market like Apple with iCloud, Google Drive and Amazon with Dropbox; they all provide limited free cloud storage to users. For more storage space, providers offer paid services that are usually distributed in monthly subscription offers depending on the desired storage. Mobile device manufacturers too have inbuilt cloud storage option that users can utilize for their advantage. Apple devices come with already configured Apple mobile cloud storage called the iCloud. For several android phones, Google Drive has become a preloaded option where users can also back up their device data. Savior in disguise You take out your phone to click a random photograph and suddenly, a message pops up after clicking that your device storage is full! This could be life-shattering technical hurdle for many mobile-addict users today. What do you do in this case? Delete a few files that were less important but not completely unimportant or do you wedge for other options like download the photos to your PC, but by that time that spontaneous moment when you could have captured the photo has gone. Now, ponder about the cloud storage option on your phone. It could really be a savior! Most technical experts recommend that all those things that hog your mobile space like videos and photos majorly, should be offloaded to a cloud at the earliest possible occasion. If you do this with a free service most of your photos and videos are going to be triflingly resized; you will have to pay up if you want to store them in full resolution. However, there are several cloud storage apps and varied rate structures to choose from in case you want them in the original quality at low cost. The major benefits of using the mobile cloud storage platform include: Limitless storage: Your phone will have only a few MBs and GBs of storage for videos, photos, files, applications and data, but a cloud platform has virtually limitless storage which can go up to terabytes. On the go: All this stored data can be accessed on any device at anytime and anywhere. The only requirement is internet connectivity in the form of Wi-Fi or cellular signal. Security: No matter what is said about cloud storage security, the real deal is that mobile cloud storage is much more secure than your phone storage. Remember your phone can get lost, damaged or stolen, but your mobile cloud account will remain in the virtual space and accessible forever. Mobile cloud computing However, the synergetic relationship with mobile and cloud goes beyond just storage. While your smart phone is a mechanical marvel and can do several local tasks on its own just fine, it still has several computing limitations. This is where mobile cloud computing comes in to help you with all the ‘heavy lifting’. Dubbed by the International Data Corporation (IDC) as the ‘Third Platform’ mobile cloud computing essentially means cloud computing where at least a few of the connected devices are mobile. It brings together mobile computing, cloud computing and wireless networks in order to increase capabilities of mobile devices using offloading techniques. A mobile cloud allows for improved access to and management of data as well as better scalability and dependability. It lets business applications be accessed from anywhere and at any time. Mobile cloud computing is emerging as one of the most important branches of cloud computing today. It completely eliminates the limitations of software and hardware upgradations in mobile phones that occur due to its size. It helps resource intensive tasks to be performed on the cloud and results be sent to the mobile phone. Meanwhile, mobile cloud computing extends all benefits of cloud computing like zero downtime, low cost, hardware-less solution, flexibility, scalability, and others. With all these advantages, techies are still figuring out how to eliminate the biggest disadvantage of mobile cloud – data security. Smart phone users very often give sensitive details through the network. If not protected with encryptions, passwords or other techniques, it can lead to a disaster in case of a security breach. To summarize, mobile cloud storage has surfaced as a new paradigm and extension of cloud storage and is expected to grow quickly in the coming time.
    74 Posted by manohar parakh
  • Many of us have seen the option of ‘cloud storage’ on our smart phones, but we hardly ever use it or explore it. Till our mobiles take care of storing our photos, videos, apps and other things in its RAM, internal storage as well as external memory cards, we don’t bother understanding more about Mobile Cloud Storage. Investing in phones with huge inbuilt memories has become the ‘it’ thing now. However, only a tech-savvy few understand that it is more practical to use the cloud storage option than spending extra money on inbuilt storage. What does it mean to opt for ‘cloud storage’ on your phone and why is it a more beneficial option? Let’s read on to know more… Mobile cloud storage Mobile cloud storage is basically a form of cloud storage that can be used to store your mobile device data. This data once stored on the mobile cloud can be accessed anywhere and at any time on your phone in an area with internet connectivity. Mobile cloud storage platform also facilitates syncing and sharing the data with other multiple devices like other phones, tablets, PCs and laptops. This type of storage is also many a times called as pocket cloud storage, personal cloud storage or storage on the go. With the advent in mobile technology, it has become imperative that our smart phones today perform more complex functions. Due to limited storage, energy and computational power, phones have to utilize the cloud storage services to complete tasks efficiently. In simple terms, mobile cloud storage means that files can be saved on cloud from the phone. It also involves offloading service which means that tasks, especially those which are computational intensive, can be moved to cloud as well to save battery and CPU usage. Service providers Many mobile cloud storage providers exist in the market like Apple with iCloud, Google Drive and Amazon with Dropbox; they all provide limited free cloud storage to users. For more storage space, providers offer paid services that are usually distributed in monthly subscription offers depending on the desired storage. Mobile device manufacturers too have inbuilt cloud storage option that users can utilize for their advantage. Apple devices come with already configured Apple mobile cloud storage called the iCloud. For several android phones, Google Drive has become a preloaded option where users can also back up their device data. Savior in disguise You take out your phone to click a random photograph and suddenly, a message pops up after clicking that your device storage is full! This could be life-shattering technical hurdle for many mobile-addict users today. What do you do in this case? Delete a few files that were less important but not completely unimportant or do you wedge for other options like download the photos to your PC, but by that time that spontaneous moment when you could have captured the photo has gone. Now, ponder about the cloud storage option on your phone. It could really be a savior! Most technical experts recommend that all those things that hog your mobile space like videos and photos majorly, should be offloaded to a cloud at the earliest possible occasion. If you do this with a free service most of your photos and videos are going to be triflingly resized; you will have to pay up if you want to store them in full resolution. However, there are several cloud storage apps and varied rate structures to choose from in case you want them in the original quality at low cost. The major benefits of using the mobile cloud storage platform include: Limitless storage: Your phone will have only a few MBs and GBs of storage for videos, photos, files, applications and data, but a cloud platform has virtually limitless storage which can go up to terabytes. On the go: All this stored data can be accessed on any device at anytime and anywhere. The only requirement is internet connectivity in the form of Wi-Fi or cellular signal. Security: No matter what is said about cloud storage security, the real deal is that mobile cloud storage is much more secure than your phone storage. Remember your phone can get lost, damaged or stolen, but your mobile cloud account will remain in the virtual space and accessible forever. Mobile cloud computing However, the synergetic relationship with mobile and cloud goes beyond just storage. While your smart phone is a mechanical marvel and can do several local tasks on its own just fine, it still has several computing limitations. This is where mobile cloud computing comes in to help you with all the ‘heavy lifting’. Dubbed by the International Data Corporation (IDC) as the ‘Third Platform’ mobile cloud computing essentially means cloud computing where at least a few of the connected devices are mobile. It brings together mobile computing, cloud computing and wireless networks in order to increase capabilities of mobile devices using offloading techniques. A mobile cloud allows for improved access to and management of data as well as better scalability and dependability. It lets business applications be accessed from anywhere and at any time. Mobile cloud computing is emerging as one of the most important branches of cloud computing today. It completely eliminates the limitations of software and hardware upgradations in mobile phones that occur due to its size. It helps resource intensive tasks to be performed on the cloud and results be sent to the mobile phone. Meanwhile, mobile cloud computing extends all benefits of cloud computing like zero downtime, low cost, hardware-less solution, flexibility, scalability, and others. With all these advantages, techies are still figuring out how to eliminate the biggest disadvantage of mobile cloud – data security. Smart phone users very often give sensitive details through the network. If not protected with encryptions, passwords or other techniques, it can lead to a disaster in case of a security breach. To summarize, mobile cloud storage has surfaced as a new paradigm and extension of cloud storage and is expected to grow quickly in the coming time.
    Feb 09, 2018 74
  • 07 Feb 2018
    What does a Public Cloud mean? Public Cloud is the most recognized models of cloud computing by the consumers. Here, cloud services are provided in a virtualized environment, applications or storage is made available to the general public and services can be on pay per consume model offered by the service provider. Private and Hybrid Cloud Vs Public Cloud Private Cloud – When an organization wishes to go for a private cloud, they get full control over the IT infrastructure which is always maintained on a private network where the hardware and software is solely dedicated to one’s business. Private cloud uses computing resources exclusively for one organization which is flexible and can be customized as per the client’s wish. Hybrid Cloud – Usually known as ‘Best of both worlds’, hybrid clouds consist of on-premise infrastructure (private cloud) and public cloud. For higher flexibility and deployment options, data and applications can move freely between private and public cloud. In case you have high volume demands, then you can go for Public Cloud or else you can make use of on-premise infrastructure for business critical operations. Comparable in features Scalability Public Cloud – High scaling of computing resources Private Cloud – Limited scalability is available due to pre customized hardware for specific clients Hybrid Cloud – Same as public cloud, hybrid cloud also has high scaling capabilities.      B.  Security Public Cloud – Your data is safe on public cloud with enterprise class firewall and you are protected from hardware failures. Private Cloud - When you design the cloud architecture according to your needs you exactly know where your data lives; behind your own locked doors. Hybrid Cloud – Hybrid cloud offers the same level of security like the public cloud. However, here you can also get integration options to add an extra layer of security.      C.  Performance Public Cloud – As the same hardware is shared between different users, performance can go down if another client hosted on the same server experiences a lot of traffic. Thus, performance level may fluctuate based on the server load. Private Cloud – A private cloud environment allows you to apply optimization technologies that strongly improve your performance. Hybrid Cloud – As hybrid cloud uses a mix of public cloud and private cloud platforms, it allows the workloads to move smoothly between these platforms which give businesses higher flexibility and data deployment options. D. Hardware Public Cloud – Public cloud is built in a completely virtualized environment and cost effective solution that consists secure VMs along with SAN storage, scalable RAM and flexible bandwidth. Private Cloud – A private cloud is dedicated to one organization and offers similar advantages just like public cloud which includes scalability and self-service. A private cloud is a best option for businesses that has unpredictable needs. Hybrid Cloud – Hybrid cloud consists of on-premise hardware resources along with cloud resources so that there is no single point of failure and can be utilized for businesses with variable workload. Advantages of Public Cloud 1.Cost Effective - The main advantage of choosing a public cloud is that you save a lot of money because you save your entire IT expense by not installing, operating and maintaining servers and not investing your money in physical IT infrastructure. 2.Scalability - Public cloud offers scalability which enables the users to scale resources like bandwidth, RAM and storage as per the business requirements and scale the resources down when it is not necessary.  Reliability – Public clouds are created by combining the sheer number of servers and networks with redundancy configurations which means that the cloud service would still run and all components will remain unaffected even if one physical component fails. 4.Flexibility – There are a lot IaaS, PaaS and SaaS services in the market on the public cloud model which are ready to be used as a service by any device which is internet enabled. 5.Location liberty – Public cloud is available almost everywhere through an internet connection. It is ensured that the services are available wherever the user is located. Conclusion It is important for a business to understand its own needs so that an optimum choice can be made to choose the right cloud architecture. There are different pros and cons of different cloud platforms, but you need to consider the one which best suits your business. Public cloud has its own advantages as it offers pay per consume structure which is a flexible financial model. Public cloud does not have many infrastructure components; thus it makes it easy for businesses to scale their IT resources on demand. For more information visit us at: Cloud Server Hosting
    91 Posted by manohar parakh
  • What does a Public Cloud mean? Public Cloud is the most recognized models of cloud computing by the consumers. Here, cloud services are provided in a virtualized environment, applications or storage is made available to the general public and services can be on pay per consume model offered by the service provider. Private and Hybrid Cloud Vs Public Cloud Private Cloud – When an organization wishes to go for a private cloud, they get full control over the IT infrastructure which is always maintained on a private network where the hardware and software is solely dedicated to one’s business. Private cloud uses computing resources exclusively for one organization which is flexible and can be customized as per the client’s wish. Hybrid Cloud – Usually known as ‘Best of both worlds’, hybrid clouds consist of on-premise infrastructure (private cloud) and public cloud. For higher flexibility and deployment options, data and applications can move freely between private and public cloud. In case you have high volume demands, then you can go for Public Cloud or else you can make use of on-premise infrastructure for business critical operations. Comparable in features Scalability Public Cloud – High scaling of computing resources Private Cloud – Limited scalability is available due to pre customized hardware for specific clients Hybrid Cloud – Same as public cloud, hybrid cloud also has high scaling capabilities.      B.  Security Public Cloud – Your data is safe on public cloud with enterprise class firewall and you are protected from hardware failures. Private Cloud - When you design the cloud architecture according to your needs you exactly know where your data lives; behind your own locked doors. Hybrid Cloud – Hybrid cloud offers the same level of security like the public cloud. However, here you can also get integration options to add an extra layer of security.      C.  Performance Public Cloud – As the same hardware is shared between different users, performance can go down if another client hosted on the same server experiences a lot of traffic. Thus, performance level may fluctuate based on the server load. Private Cloud – A private cloud environment allows you to apply optimization technologies that strongly improve your performance. Hybrid Cloud – As hybrid cloud uses a mix of public cloud and private cloud platforms, it allows the workloads to move smoothly between these platforms which give businesses higher flexibility and data deployment options. D. Hardware Public Cloud – Public cloud is built in a completely virtualized environment and cost effective solution that consists secure VMs along with SAN storage, scalable RAM and flexible bandwidth. Private Cloud – A private cloud is dedicated to one organization and offers similar advantages just like public cloud which includes scalability and self-service. A private cloud is a best option for businesses that has unpredictable needs. Hybrid Cloud – Hybrid cloud consists of on-premise hardware resources along with cloud resources so that there is no single point of failure and can be utilized for businesses with variable workload. Advantages of Public Cloud 1.Cost Effective - The main advantage of choosing a public cloud is that you save a lot of money because you save your entire IT expense by not installing, operating and maintaining servers and not investing your money in physical IT infrastructure. 2.Scalability - Public cloud offers scalability which enables the users to scale resources like bandwidth, RAM and storage as per the business requirements and scale the resources down when it is not necessary.  Reliability – Public clouds are created by combining the sheer number of servers and networks with redundancy configurations which means that the cloud service would still run and all components will remain unaffected even if one physical component fails. 4.Flexibility – There are a lot IaaS, PaaS and SaaS services in the market on the public cloud model which are ready to be used as a service by any device which is internet enabled. 5.Location liberty – Public cloud is available almost everywhere through an internet connection. It is ensured that the services are available wherever the user is located. Conclusion It is important for a business to understand its own needs so that an optimum choice can be made to choose the right cloud architecture. There are different pros and cons of different cloud platforms, but you need to consider the one which best suits your business. Public cloud has its own advantages as it offers pay per consume structure which is a flexible financial model. Public cloud does not have many infrastructure components; thus it makes it easy for businesses to scale their IT resources on demand. For more information visit us at: Cloud Server Hosting
    Feb 07, 2018 91
  • 11 Jan 2018
    Imagine what banks looked like before 1970. Long queues and particularly long waiting period for just about any transaction was normal. People were customers of a branch and not really a parent bank. All transactions could be performed at your particular branch only. Any entry only reflected after more than 24 hours as information went to data centers in batches at the end of the working day. However, over the next 40 years most banks chose to create a Centralized Online Real-time Exchange or Environment (CORE) to manage their operations, thus giving rise to Core Banking. In India alone, the number of public sector bank branches with core banking implementation went from 79.4% in March 2009 to 90% in March 2010. All over the world, the numbers are closing in on cent per cent. According to US-based research and advisory firm Gartner, core banking system (CBS) is basically a back-end system that performs banking transactions on a daily basis and updates accounts and financial records. It is essentially a bank’s nervous system that if affected can change the bank’s operations drastically. CBS is a common point of connection for the entire gamut of products and services that banks today provide under one umbrella. Centralized data centers have been formed and all banking applications can be accessed here. Data of any bank as a whole is stored in a central server that branches, regional offices and head office can lay hands on. All types of banking operations like recording all types of transactions, loan and mortgages as well as interest calculations, deposits, money transfer, payment balance, customer information and such other operations have become fully automated using a core banking solution. Such a solution makes use of the internet or other forms of connectivity to automate the operations with an appropriate software. This core banking software is then applied across all the branches thus bringing them all on a single platform. A solution usually comprises of: Internet, mobile, tab banking Data centre and colocation as well as DR services Fund transfer remotely and immediately (IMPS, NEFT, RTGS, etc.) Automated Teller Machines (ATMs) & Point of Sale systems Several other services like QR Code Merchant Payment, Agency Banking Application, eKYC Solution, Connectivity and others. Goal of CBS Core banking solutions differ from bank to bank and largely depend on the type of customer bases that a bank has. The basic goal of core banking is to be largely customer convenient and cut down on operational expenses. A good core banking solution directly impacts profitability, customer satisfaction and competitiveness. It enables customers to achieve more freedom in transaction, banks yield from reduced time and resources spent on monotonous activities. A Core Banking solutions is especially beneficial because of its: Scalability: As transactions are processed in bulk volumes daily, the business priority is to be able to scale up without any breaks. Flexibility: Banking has numerous modules that requires a solution which is extremely flexible that is able to configure the right mix of IT resources at the right time. Agility: To be competitive in the market the solution can quickly adapt to changes and transformations. Cost-effectiveness: These solutions not just deliver customer-satisfaction but also benefit the bank by saving them lots of man hours and maintaining accuracy. A successful core banking application can be migrated in all types of financial institutions including: Corporate Banks PSU & Nationalized Banks Scheduled Co-Operative Banks Urban Co-Operative Banks State Co-Operative Banks Payment Banks Small Finance Banks Non-Banking Finance Corporations Micro Finance Institutions Credit Co-Operative Societies Securities & Insurance Sector Regional Rural Banks Advantages Among the myriad of advantages that a CBS has, the most important is that it has enabled banks to strengthen their relationship with customers. Concepts of customer satisfaction, retention, customized and tailored plans, customer convenience and others were introduced in the financial industry, thanks to core banking. Customers today have a plethora of channels through which they can contact their respective banks. It could be through their PCs via the internet, on their smart phones, tabs or through mobile kiosks. A good core banking software integrates all these channels and provides a seamless transacting experience for both the bank and the customer. Since all processes become automated, another major advantage of a good modern core banking solution is that it reduces chances of human errors and fraud. This in turn increases employee efficiency and then eventually boosts business opportunities. All the resources are aptly utilized thus minimizing chance of wastage as well. Automation, more often than not, always helps companies save a lot of money and time. Online banking decreases human footfalls in bank premises which means that infrastructural costs go down drastically. Similarly, operational and support expenses also go down. Maintaining legacy systems is also a pricy affair. Core banking brings down IT maintenance costs by moving to shared services platforms. Lastly, since all steps are accurately recorded and can be tracked back, a ready business analysis is available in real time. All the data collected in the back-end can thus be transformed into actionable insights according to need. This has made banking smarter over the years. Core banking solutions have also changed over the time brining into its purview improved services. CIOs believe that integration of new technologies like Artificial Intelligence, Chat-bots and Internet of Things platform can help trigger business intelligence which helps in better decision making. While many banks have chosen to establish their own applications for their core banking needs, others have to go for independent software vendors, system integrators and cloud service providers for a customized solution. ESDS Cloud Company has strong experience in the core banking field having brought together over 250 co-operative banks together under its community cloud automating almost all their applications. It also has two world-class data centres with an active Uptime Institute’s Tier-III Certification where all mission-critical data of banks can be safely stored and analysed. Many banks have chosen ESDS for its exemplary Disaster Recovery as a Service which saves up to 90% of costs.
    289 Posted by manohar parakh
  • Imagine what banks looked like before 1970. Long queues and particularly long waiting period for just about any transaction was normal. People were customers of a branch and not really a parent bank. All transactions could be performed at your particular branch only. Any entry only reflected after more than 24 hours as information went to data centers in batches at the end of the working day. However, over the next 40 years most banks chose to create a Centralized Online Real-time Exchange or Environment (CORE) to manage their operations, thus giving rise to Core Banking. In India alone, the number of public sector bank branches with core banking implementation went from 79.4% in March 2009 to 90% in March 2010. All over the world, the numbers are closing in on cent per cent. According to US-based research and advisory firm Gartner, core banking system (CBS) is basically a back-end system that performs banking transactions on a daily basis and updates accounts and financial records. It is essentially a bank’s nervous system that if affected can change the bank’s operations drastically. CBS is a common point of connection for the entire gamut of products and services that banks today provide under one umbrella. Centralized data centers have been formed and all banking applications can be accessed here. Data of any bank as a whole is stored in a central server that branches, regional offices and head office can lay hands on. All types of banking operations like recording all types of transactions, loan and mortgages as well as interest calculations, deposits, money transfer, payment balance, customer information and such other operations have become fully automated using a core banking solution. Such a solution makes use of the internet or other forms of connectivity to automate the operations with an appropriate software. This core banking software is then applied across all the branches thus bringing them all on a single platform. A solution usually comprises of: Internet, mobile, tab banking Data centre and colocation as well as DR services Fund transfer remotely and immediately (IMPS, NEFT, RTGS, etc.) Automated Teller Machines (ATMs) & Point of Sale systems Several other services like QR Code Merchant Payment, Agency Banking Application, eKYC Solution, Connectivity and others. Goal of CBS Core banking solutions differ from bank to bank and largely depend on the type of customer bases that a bank has. The basic goal of core banking is to be largely customer convenient and cut down on operational expenses. A good core banking solution directly impacts profitability, customer satisfaction and competitiveness. It enables customers to achieve more freedom in transaction, banks yield from reduced time and resources spent on monotonous activities. A Core Banking solutions is especially beneficial because of its: Scalability: As transactions are processed in bulk volumes daily, the business priority is to be able to scale up without any breaks. Flexibility: Banking has numerous modules that requires a solution which is extremely flexible that is able to configure the right mix of IT resources at the right time. Agility: To be competitive in the market the solution can quickly adapt to changes and transformations. Cost-effectiveness: These solutions not just deliver customer-satisfaction but also benefit the bank by saving them lots of man hours and maintaining accuracy. A successful core banking application can be migrated in all types of financial institutions including: Corporate Banks PSU & Nationalized Banks Scheduled Co-Operative Banks Urban Co-Operative Banks State Co-Operative Banks Payment Banks Small Finance Banks Non-Banking Finance Corporations Micro Finance Institutions Credit Co-Operative Societies Securities & Insurance Sector Regional Rural Banks Advantages Among the myriad of advantages that a CBS has, the most important is that it has enabled banks to strengthen their relationship with customers. Concepts of customer satisfaction, retention, customized and tailored plans, customer convenience and others were introduced in the financial industry, thanks to core banking. Customers today have a plethora of channels through which they can contact their respective banks. It could be through their PCs via the internet, on their smart phones, tabs or through mobile kiosks. A good core banking software integrates all these channels and provides a seamless transacting experience for both the bank and the customer. Since all processes become automated, another major advantage of a good modern core banking solution is that it reduces chances of human errors and fraud. This in turn increases employee efficiency and then eventually boosts business opportunities. All the resources are aptly utilized thus minimizing chance of wastage as well. Automation, more often than not, always helps companies save a lot of money and time. Online banking decreases human footfalls in bank premises which means that infrastructural costs go down drastically. Similarly, operational and support expenses also go down. Maintaining legacy systems is also a pricy affair. Core banking brings down IT maintenance costs by moving to shared services platforms. Lastly, since all steps are accurately recorded and can be tracked back, a ready business analysis is available in real time. All the data collected in the back-end can thus be transformed into actionable insights according to need. This has made banking smarter over the years. Core banking solutions have also changed over the time brining into its purview improved services. CIOs believe that integration of new technologies like Artificial Intelligence, Chat-bots and Internet of Things platform can help trigger business intelligence which helps in better decision making. While many banks have chosen to establish their own applications for their core banking needs, others have to go for independent software vendors, system integrators and cloud service providers for a customized solution. ESDS Cloud Company has strong experience in the core banking field having brought together over 250 co-operative banks together under its community cloud automating almost all their applications. It also has two world-class data centres with an active Uptime Institute’s Tier-III Certification where all mission-critical data of banks can be safely stored and analysed. Many banks have chosen ESDS for its exemplary Disaster Recovery as a Service which saves up to 90% of costs.
    Jan 11, 2018 289
  • 09 Jan 2018
    The concept of ‘connectivity’ is going beyond laptops and smartphones as we see it moving towards smart cities, smart homes, smart retail, smart farming, connected cars, connected wearable devices and connected healthcare. In short a connected life. The Internet of Things is a popular terminology these days, but unlike many technological fads which have come and gone in the last years, the Internet of Things proves to be an important trend which is having long lasting effects on the society. The term “Internet of Things” itself is used to mean a variety of ideas. The IoT cloud platform is primarily designed to store and process IoT data and forms the core of all IoT devices and IoT solution. The platform is built in a way that it enables taking in a huge amount of data generated by sensors, websites, applications and initiate actions for real-time responses and analytics.For example, Smart Refrigerators can automatically order the run out items, similarly when you use Smart Locks, you do not need to have multiple keys for them, and you can unlock them by using smart phones.  The platform can provide businesses with an extensive and integrated perspective of customers, without needing much technical know-how of a data analyst. The platform can intake lot of events each day and users can define rules that state events to act on and what actions to take. The demand for cloud enabled IoT services and solutions is rapidly increasing. A report by Zinnov Zones says India has about 43 per cent or $1.5 billion of the global $3.5 billion IoT market. Experts predicts that Indian IoT market will grow from $1.5 billion today to more than $9 billion by 2020 with over 2.7 billion connected devices and growing. Another Gartner report predicts, by ‘2020 the number of connected devices across all technologies will reach to about 20.6 billion’.The real world IoT-Cloud platform application:1.Smart Home AutomationHow would you feel if you could switch off lights after you left home/office or switch the AC on before reaching home? With IoT taking shape there is introduction of a world where all the smart devices can be in constant connection with each other and are monitored by users remotely via voice commands or by a simple click. With the rapid growth of IoT it is predicted Smart Homes will be as common as smart phones. It has also been predicted by Gil Press that more than two thirds of consumers plan to buy connected technology for their homes by 2019.2.Smart Wearable TechnologyA detailed report by Tech Republic says in 2016, wearables were sold at a rate of 38 million and a large portion of them were fitness trackers and smart watches. These two classifications will make up a joint income of $4.9 billion. Wearable devices are installed with sensors and software’s which collect data and information about the users. This data is later pre-processed to extract essential insights about the user. The pre-requisite from IoT technology for wearable applications is to be highly energy efficient, low power and small sized. The productivity of data processing achieved by various smart wrist wear, hearable, and smart glasses is getting closer to where wearables will bring exceptional value to our lives.3.Connected VehiclesGartner predicts that about 250,000,000 connected cars will be out on the roads by 2020. So, what really are connected cars? IoT engineers have come up with an industry solution for connected automobiles that gathers, analyzes, stores and takes action on vehicle sensor data. A connected vehicle is one which is able to improve and analyze its own operation, maintenance as well as comfort of passengers using onboard sensors and internet connectivity. IoT for automobiles is a vehicle-to-cloud offering that enables awareness of the environment even beyond the vehicles and helps use information to establish a relationship with the driver as well.4.Industrial InternetThe IIoT (Industrial IoT) enables industrial engineering with sensors, software and big data analytics to build intelligent equipment. Smart machines are precise and consistent than humans in communicating data. And these analytics on the generated data can help companies pick inabilities and problems fast. In the meanwhile, did you know that about 5.4 million IoT devices will be used on oil extraction sites by 2020 to provide environmental metrics about extraction sites?5 Smart CitiesIoT has the potential of solving major problems faced by the people living in cities like pollution, traffic congestion and shortage of energy supplies etc. IoT will empower cities to leverage their network to offer advanced smart city applications for citizens, new eco-sustainability initiatives and create first-hand opportunities for enterprise development.6 IoT in Agriculture To help increase farm performance, IoT technology providers continue to develop IoT cloud based platforms that can sense, process and communicate precisely measured environmental data. Farms are becoming more connected as farmers realize the potential of IoT in helping them reduce cost while achieving improved results.7. Smart RetailIoT Smart Retail enables stores to revolutionize customer service while saving time and money, while simultaneously providing the consumer with a seamless shopping experience. By installing this system, retailers are also able to recapture investment dollars while surpassing expectations for tech-savvy consumers. Some of the components included in Smart Retail Are Power shelf, Beacons and Digital Price Tags.8 IoT for HealthcareResearch says IoT in healthcare will be enormous in coming years. It is aimed at enabling people to live healthier life by wearing connected devices. For example, through IoT, doctors can use GPS services and be prepared for treating patients being brought to the hospital in emergency cases. 9.IoT in Telecom IndustryGlobal telecom operators now use IoT enabled digital platforms that are a combination of connectivity, analysis, security, mobile and cloud to support businesses. This is helping them reduce operating costs while enabling end-users to consume technology in a business focused manner saving time and money.
    356 Posted by manohar parakh
  • The concept of ‘connectivity’ is going beyond laptops and smartphones as we see it moving towards smart cities, smart homes, smart retail, smart farming, connected cars, connected wearable devices and connected healthcare. In short a connected life. The Internet of Things is a popular terminology these days, but unlike many technological fads which have come and gone in the last years, the Internet of Things proves to be an important trend which is having long lasting effects on the society. The term “Internet of Things” itself is used to mean a variety of ideas. The IoT cloud platform is primarily designed to store and process IoT data and forms the core of all IoT devices and IoT solution. The platform is built in a way that it enables taking in a huge amount of data generated by sensors, websites, applications and initiate actions for real-time responses and analytics.For example, Smart Refrigerators can automatically order the run out items, similarly when you use Smart Locks, you do not need to have multiple keys for them, and you can unlock them by using smart phones.  The platform can provide businesses with an extensive and integrated perspective of customers, without needing much technical know-how of a data analyst. The platform can intake lot of events each day and users can define rules that state events to act on and what actions to take. The demand for cloud enabled IoT services and solutions is rapidly increasing. A report by Zinnov Zones says India has about 43 per cent or $1.5 billion of the global $3.5 billion IoT market. Experts predicts that Indian IoT market will grow from $1.5 billion today to more than $9 billion by 2020 with over 2.7 billion connected devices and growing. Another Gartner report predicts, by ‘2020 the number of connected devices across all technologies will reach to about 20.6 billion’.The real world IoT-Cloud platform application:1.Smart Home AutomationHow would you feel if you could switch off lights after you left home/office or switch the AC on before reaching home? With IoT taking shape there is introduction of a world where all the smart devices can be in constant connection with each other and are monitored by users remotely via voice commands or by a simple click. With the rapid growth of IoT it is predicted Smart Homes will be as common as smart phones. It has also been predicted by Gil Press that more than two thirds of consumers plan to buy connected technology for their homes by 2019.2.Smart Wearable TechnologyA detailed report by Tech Republic says in 2016, wearables were sold at a rate of 38 million and a large portion of them were fitness trackers and smart watches. These two classifications will make up a joint income of $4.9 billion. Wearable devices are installed with sensors and software’s which collect data and information about the users. This data is later pre-processed to extract essential insights about the user. The pre-requisite from IoT technology for wearable applications is to be highly energy efficient, low power and small sized. The productivity of data processing achieved by various smart wrist wear, hearable, and smart glasses is getting closer to where wearables will bring exceptional value to our lives.3.Connected VehiclesGartner predicts that about 250,000,000 connected cars will be out on the roads by 2020. So, what really are connected cars? IoT engineers have come up with an industry solution for connected automobiles that gathers, analyzes, stores and takes action on vehicle sensor data. A connected vehicle is one which is able to improve and analyze its own operation, maintenance as well as comfort of passengers using onboard sensors and internet connectivity. IoT for automobiles is a vehicle-to-cloud offering that enables awareness of the environment even beyond the vehicles and helps use information to establish a relationship with the driver as well.4.Industrial InternetThe IIoT (Industrial IoT) enables industrial engineering with sensors, software and big data analytics to build intelligent equipment. Smart machines are precise and consistent than humans in communicating data. And these analytics on the generated data can help companies pick inabilities and problems fast. In the meanwhile, did you know that about 5.4 million IoT devices will be used on oil extraction sites by 2020 to provide environmental metrics about extraction sites?5 Smart CitiesIoT has the potential of solving major problems faced by the people living in cities like pollution, traffic congestion and shortage of energy supplies etc. IoT will empower cities to leverage their network to offer advanced smart city applications for citizens, new eco-sustainability initiatives and create first-hand opportunities for enterprise development.6 IoT in Agriculture To help increase farm performance, IoT technology providers continue to develop IoT cloud based platforms that can sense, process and communicate precisely measured environmental data. Farms are becoming more connected as farmers realize the potential of IoT in helping them reduce cost while achieving improved results.7. Smart RetailIoT Smart Retail enables stores to revolutionize customer service while saving time and money, while simultaneously providing the consumer with a seamless shopping experience. By installing this system, retailers are also able to recapture investment dollars while surpassing expectations for tech-savvy consumers. Some of the components included in Smart Retail Are Power shelf, Beacons and Digital Price Tags.8 IoT for HealthcareResearch says IoT in healthcare will be enormous in coming years. It is aimed at enabling people to live healthier life by wearing connected devices. For example, through IoT, doctors can use GPS services and be prepared for treating patients being brought to the hospital in emergency cases. 9.IoT in Telecom IndustryGlobal telecom operators now use IoT enabled digital platforms that are a combination of connectivity, analysis, security, mobile and cloud to support businesses. This is helping them reduce operating costs while enabling end-users to consume technology in a business focused manner saving time and money.
    Jan 09, 2018 356
  • 19 Dec 2017
    Ask most website owners about hosting and they’ll happily explain what shared, dedicated and cloud hosting is. But when it comes to virtual private servers, lots of them aren’t 100% sure what VPS are or what they’re best suited for. Some don’t even know that there is a VPS hosting option. So, to put everyone clearly in the picture, this article will give you a full introduction to VPS.What is a Virtual Private Server?A virtual private server, usually referred to as a VPS, is a hosting solution that falls midway between shared hosting and a dedicated server. A VPS is created by using virtualization software to divide a physical server into several smaller, virtual ones, each with its own operating system and dedicated storage, RAM and CPU resources.How is a VPS different to shared and dedicated server hosting?Shared hosting is a bit like communal living; essentially, you lease part of the server and share the resources: CPU (processors), memory and disk space, bandwidth, etc. with the other users. This works well for smaller websites as the speed, storage, bandwidth and reliability you need usually function without a problem. However, for businesses with bigger requirements, the resources available can be too limiting.There are some potential issues with shared hosting: if some of the other websites sharing the server hog resources it can impact on your site’s performance and if they leave themselves vulnerable to infections or hacks, this may compromise your own security.If shared hosting can be likened to lots of people sharing a big house, VPS is the equivalent of dividing the big house into a number of smaller flats. Each VPS is a separate computing environment, isolated from the others, with its own dedicated resources. Being a separate entity with its own operating system means your data won’t be compromised by other customers’ vulnerabilities. It also means you can run any custom apps.Continuing with the house analogy, having a dedicated server is the equivalent of owning the entire house. You have all the disk space and computing resources at your disposal and control over which operating system and hardware you want to use, however, this does make it the most expensive choice and is best suited for businesses that have larger processing and storage needs.What are the benefits of VPS hosting?Essentially, VPS hosting gives website owners the opportunity to have many of the features of a dedicated server, but at a price that is much nearer the cost of shared hosting. For example, at Host.co.in, you can have a VPS server for Rs 1399/Mo (ex VAT)* per month. That’s only a few pounds more than our top spec, shared hosting solution, but significantly less than our lowest priced dedicated server at Rs 8500/Mo (ex VAT)* per month.VPS also gives you the option to fully managed hosting, full administrative access, remote server access, and the ability to run custom software apps. In addition, you have much greater CPU, bandwidth, RAM and storage at your disposal than with shared hosting.Who should consider using VPS?With advances in virtualization and cloud computing, it looks increasingly likely that shared hosting was becoming yesterday’s entry level solution. For new companies starting up today, going straight for VPS is the much better option. For website owners that are still using shared hosting, there are signs you should look for that can tell you if it might be time to upgrade to VPS, these are:•    A slow running website – an indication that you’re hitting your shared hosting resource limits.•    Your website has started to have much greater traffic or has significant peaks that it struggles to cope with.•    You store sensitive data and need to protect your customers’ information and comply with the Data Protection Act, etc.•    You run an e-commerce site that stores card details or processes payments and needs to comply with Payment Card Industry Data         Security Standards (PCI DSS).•    Your company needs to run custom apps in order to operate its businessWhat to look for when choosing a VPS hosting packageNot all VPS hosting is the same and some hosts offer far better services and value for money than others. Below is a list of things you should look out for:Fully managed hostingMany businesses that use shared hosting don’t have the in-house technical expertise to manage a server and if this applies to you, you should look for a host that provides a fully managed service that maintains hardware, installs and updates your operating system, and monitors your server for problems so that it continues to operate at optimum levels.24/7 Customer SupportIf you have a problem on Friday night you don’t want to wait until Monday morning before you can speak to your hosting provider, for this reason, it is absolutely essential that your VPS host offers full 24/7 support, including technical support. A good host should have various channels through which you can communicate: phone, email, live chat, etc.You should also check that your support can give advice on security and application performance.AvailabilityYou need a host that can guarantee your website will be online and won’t be hampered by reliability issues. Ideally, your host should offer uptime of 99.5% and above: if they can back this up with a service level agreement, even better.High-performance hardwareUnderpinning your entire operations is the hardware your VPS is hosted on. If you want a VPS that delivers enterprise-class performance, you need to ensure that your web host is investing in up-to-date technology such as super-fast SSD drives and, the latest Intel Xeon processors, high-speed DDR4 memory and high-performance RAID controllers.PriceWhilst price is important when choosing a VPS hosting package, it should not be the determining factor. It’s far more important to consider the value for money that you get for the package you choose. For this reason, it is best to compare the different services on offer carefully and to make sure that you get everything you need not just for now but or your future needs.ConclusionHopefully, this article will have given you a much clearer understanding of virtual private servers. You should now know:•    What a VPS is and how one is created•    The differences between shared, VPS and dedicated hosting•    The benefits of VPS hosting•    Why and when you should consider switching to VPS•    What to look for when choosing a VPS hosting package  If you are considering switching to VPS, check out our highly affordable, fully managed VPS packages. Our VPS offer blisteringly fast, enterprise-class SSD storage, high-speed DDR4 memory and the latest Intel Xeon processors – all backed up by our highly regarded 24/7 technical support.   For More Information about VPS Hosting Visit us at:Window VPS Hosting
    68 Posted by manohar parakh
  • Ask most website owners about hosting and they’ll happily explain what shared, dedicated and cloud hosting is. But when it comes to virtual private servers, lots of them aren’t 100% sure what VPS are or what they’re best suited for. Some don’t even know that there is a VPS hosting option. So, to put everyone clearly in the picture, this article will give you a full introduction to VPS.What is a Virtual Private Server?A virtual private server, usually referred to as a VPS, is a hosting solution that falls midway between shared hosting and a dedicated server. A VPS is created by using virtualization software to divide a physical server into several smaller, virtual ones, each with its own operating system and dedicated storage, RAM and CPU resources.How is a VPS different to shared and dedicated server hosting?Shared hosting is a bit like communal living; essentially, you lease part of the server and share the resources: CPU (processors), memory and disk space, bandwidth, etc. with the other users. This works well for smaller websites as the speed, storage, bandwidth and reliability you need usually function without a problem. However, for businesses with bigger requirements, the resources available can be too limiting.There are some potential issues with shared hosting: if some of the other websites sharing the server hog resources it can impact on your site’s performance and if they leave themselves vulnerable to infections or hacks, this may compromise your own security.If shared hosting can be likened to lots of people sharing a big house, VPS is the equivalent of dividing the big house into a number of smaller flats. Each VPS is a separate computing environment, isolated from the others, with its own dedicated resources. Being a separate entity with its own operating system means your data won’t be compromised by other customers’ vulnerabilities. It also means you can run any custom apps.Continuing with the house analogy, having a dedicated server is the equivalent of owning the entire house. You have all the disk space and computing resources at your disposal and control over which operating system and hardware you want to use, however, this does make it the most expensive choice and is best suited for businesses that have larger processing and storage needs.What are the benefits of VPS hosting?Essentially, VPS hosting gives website owners the opportunity to have many of the features of a dedicated server, but at a price that is much nearer the cost of shared hosting. For example, at Host.co.in, you can have a VPS server for Rs 1399/Mo (ex VAT)* per month. That’s only a few pounds more than our top spec, shared hosting solution, but significantly less than our lowest priced dedicated server at Rs 8500/Mo (ex VAT)* per month.VPS also gives you the option to fully managed hosting, full administrative access, remote server access, and the ability to run custom software apps. In addition, you have much greater CPU, bandwidth, RAM and storage at your disposal than with shared hosting.Who should consider using VPS?With advances in virtualization and cloud computing, it looks increasingly likely that shared hosting was becoming yesterday’s entry level solution. For new companies starting up today, going straight for VPS is the much better option. For website owners that are still using shared hosting, there are signs you should look for that can tell you if it might be time to upgrade to VPS, these are:•    A slow running website – an indication that you’re hitting your shared hosting resource limits.•    Your website has started to have much greater traffic or has significant peaks that it struggles to cope with.•    You store sensitive data and need to protect your customers’ information and comply with the Data Protection Act, etc.•    You run an e-commerce site that stores card details or processes payments and needs to comply with Payment Card Industry Data         Security Standards (PCI DSS).•    Your company needs to run custom apps in order to operate its businessWhat to look for when choosing a VPS hosting packageNot all VPS hosting is the same and some hosts offer far better services and value for money than others. Below is a list of things you should look out for:Fully managed hostingMany businesses that use shared hosting don’t have the in-house technical expertise to manage a server and if this applies to you, you should look for a host that provides a fully managed service that maintains hardware, installs and updates your operating system, and monitors your server for problems so that it continues to operate at optimum levels.24/7 Customer SupportIf you have a problem on Friday night you don’t want to wait until Monday morning before you can speak to your hosting provider, for this reason, it is absolutely essential that your VPS host offers full 24/7 support, including technical support. A good host should have various channels through which you can communicate: phone, email, live chat, etc.You should also check that your support can give advice on security and application performance.AvailabilityYou need a host that can guarantee your website will be online and won’t be hampered by reliability issues. Ideally, your host should offer uptime of 99.5% and above: if they can back this up with a service level agreement, even better.High-performance hardwareUnderpinning your entire operations is the hardware your VPS is hosted on. If you want a VPS that delivers enterprise-class performance, you need to ensure that your web host is investing in up-to-date technology such as super-fast SSD drives and, the latest Intel Xeon processors, high-speed DDR4 memory and high-performance RAID controllers.PriceWhilst price is important when choosing a VPS hosting package, it should not be the determining factor. It’s far more important to consider the value for money that you get for the package you choose. For this reason, it is best to compare the different services on offer carefully and to make sure that you get everything you need not just for now but or your future needs.ConclusionHopefully, this article will have given you a much clearer understanding of virtual private servers. You should now know:•    What a VPS is and how one is created•    The differences between shared, VPS and dedicated hosting•    The benefits of VPS hosting•    Why and when you should consider switching to VPS•    What to look for when choosing a VPS hosting package  If you are considering switching to VPS, check out our highly affordable, fully managed VPS packages. Our VPS offer blisteringly fast, enterprise-class SSD storage, high-speed DDR4 memory and the latest Intel Xeon processors – all backed up by our highly regarded 24/7 technical support.   For More Information about VPS Hosting Visit us at:Window VPS Hosting
    Dec 19, 2017 68
  • 07 Dec 2017
    Before the evolution of cloud computing, businesses running on the on-premise computing model faced major challenges like less business agility, complexity in capacity planning and increasing hardware expenses. Since the introduction of cloud technology, this concern is solved as Cloud has become a savior of all the IT enterprises. Cloud these days is no longer at the novice level, instead it has turned to be an important aspect of enterprise IT environment. The CxOs these days are particular about choosing the right Cloud Solution Provider (CSP). Cloud computing is projected to increase from $67B in 2015 to $162B in 2020 attaining a CAGR (Compound annual growth rate) of 19%. -- Forbes In this era of indefinite possibilities and high-end technology, cloud computing has become one of the few things that will transform the existing business processes. Cloud indeed has emerged as a technological revolution since its inception. Every enterprise is different in the way it works, and so must be their CSPs. Thus, our cloud experts at ESDS have engineered a multi-dimensional auto scaling, intelligent cloud computing architecture keeping in mind the uniqueness of your business. eNlight Cloud gives you the most appropriate cloud infrastructure that suits your needs and that’s not it, you are also handed over the wand of power that enables you to manage and monitor all aspects of your IT infra. ‘Cloud computing is a style of computing in which scalable and elastic IT-enabled capabilities are delivered as a service using Internet technologies.’ --Gartner eNlight Vertical Scaling technology In every business there are days when there’s huge amount of data being generated and similarly, and comparatively there are days when the data generated is so massive. A scalable cloud is all you need to address both these concerns. Vertical scaling is the future of cloud and eNlight-enabled vertical scaling allows virtual machines to upscale and downscale their CPU and RAM in real time in correspondence to the data generated. eNlight-based VMs consume resources based on demand. These resources, when not in use, are pulled back by the VM leading to optimal resource utilization and ultimately saving huge amount of money. eNlight's auto scaling technology is the most cost-effective technology in the world. It builds on demand, elastic storage space for the compute usage while in passive mode. Moreover, with the introduction of the Pay Per Consume transparent billing model, billing with eNlight is done as per the consumption of CPU, RAM & Disk space. eNlight guarantees 100% uptime on the infrastructure level. It is offered as a fully managed cloud to customers with a 24*7 help desk, live chat and phone support. Our phone support executives help customers by resolving all kinds of operating system issues, data base administration problems and network optimization giving them a complete peace of mind. This enables them to focus on the growth of their businesses since all the IT hassles are reduced. eNlight currently is serving more than 25,000 VMs used by over 7000 customers across the globe. The most important factor for businesses to opt for eNlight Cloud and its Pay Per Consume auto-scaling model is the end result – a minimum saving of 70% of the IT costs. eNlight Cloud boasts of US & UK patents ESDS eNlight Make-a-Cloud-In-India has been a proud recipient of first cloud computing patents – 9176788 (US) and GB2493812 (UK)– from the US and UK Patent and Trademark Office respectively. The patent is titled ‘Method & System for Real Time Detection of Resource Requirement & Automatic Adjustments’ which means that eNlight is the only cloud that can conduct ‘Real time adjustment of CPU, RAM, Disk Space and other resources in a VM based on the resource requirements of the VM running in the Cloud’. ESDS offers certified Tier-III fault tolerant infrastructure as well as cloud, data and managed services for mission-critical IT systems and businesses. ESDS' Data Centers Are Tier III certified for design by Uptime Institute. With over 35,000 customers over 13 years, 99.99% service level commitments, 100% services & infrastructure availability delivered till date, ESDS has delivered up to 70% reductions in client IT expenditure. ESDS clients, partners and associates are proud of its 24*7 Exuberant customer support. About US: The future of cloud computing as well as career opportunities in the field shines bright for India. For more information visit us at: Cloud Computing AND eNlight
    329 Posted by manohar parakh
  • Before the evolution of cloud computing, businesses running on the on-premise computing model faced major challenges like less business agility, complexity in capacity planning and increasing hardware expenses. Since the introduction of cloud technology, this concern is solved as Cloud has become a savior of all the IT enterprises. Cloud these days is no longer at the novice level, instead it has turned to be an important aspect of enterprise IT environment. The CxOs these days are particular about choosing the right Cloud Solution Provider (CSP). Cloud computing is projected to increase from $67B in 2015 to $162B in 2020 attaining a CAGR (Compound annual growth rate) of 19%. -- Forbes In this era of indefinite possibilities and high-end technology, cloud computing has become one of the few things that will transform the existing business processes. Cloud indeed has emerged as a technological revolution since its inception. Every enterprise is different in the way it works, and so must be their CSPs. Thus, our cloud experts at ESDS have engineered a multi-dimensional auto scaling, intelligent cloud computing architecture keeping in mind the uniqueness of your business. eNlight Cloud gives you the most appropriate cloud infrastructure that suits your needs and that’s not it, you are also handed over the wand of power that enables you to manage and monitor all aspects of your IT infra. ‘Cloud computing is a style of computing in which scalable and elastic IT-enabled capabilities are delivered as a service using Internet technologies.’ --Gartner eNlight Vertical Scaling technology In every business there are days when there’s huge amount of data being generated and similarly, and comparatively there are days when the data generated is so massive. A scalable cloud is all you need to address both these concerns. Vertical scaling is the future of cloud and eNlight-enabled vertical scaling allows virtual machines to upscale and downscale their CPU and RAM in real time in correspondence to the data generated. eNlight-based VMs consume resources based on demand. These resources, when not in use, are pulled back by the VM leading to optimal resource utilization and ultimately saving huge amount of money. eNlight's auto scaling technology is the most cost-effective technology in the world. It builds on demand, elastic storage space for the compute usage while in passive mode. Moreover, with the introduction of the Pay Per Consume transparent billing model, billing with eNlight is done as per the consumption of CPU, RAM & Disk space. eNlight guarantees 100% uptime on the infrastructure level. It is offered as a fully managed cloud to customers with a 24*7 help desk, live chat and phone support. Our phone support executives help customers by resolving all kinds of operating system issues, data base administration problems and network optimization giving them a complete peace of mind. This enables them to focus on the growth of their businesses since all the IT hassles are reduced. eNlight currently is serving more than 25,000 VMs used by over 7000 customers across the globe. The most important factor for businesses to opt for eNlight Cloud and its Pay Per Consume auto-scaling model is the end result – a minimum saving of 70% of the IT costs. eNlight Cloud boasts of US & UK patents ESDS eNlight Make-a-Cloud-In-India has been a proud recipient of first cloud computing patents – 9176788 (US) and GB2493812 (UK)– from the US and UK Patent and Trademark Office respectively. The patent is titled ‘Method & System for Real Time Detection of Resource Requirement & Automatic Adjustments’ which means that eNlight is the only cloud that can conduct ‘Real time adjustment of CPU, RAM, Disk Space and other resources in a VM based on the resource requirements of the VM running in the Cloud’. ESDS offers certified Tier-III fault tolerant infrastructure as well as cloud, data and managed services for mission-critical IT systems and businesses. ESDS' Data Centers Are Tier III certified for design by Uptime Institute. With over 35,000 customers over 13 years, 99.99% service level commitments, 100% services & infrastructure availability delivered till date, ESDS has delivered up to 70% reductions in client IT expenditure. ESDS clients, partners and associates are proud of its 24*7 Exuberant customer support. About US: The future of cloud computing as well as career opportunities in the field shines bright for India. For more information visit us at: Cloud Computing AND eNlight
    Dec 07, 2017 329
  • 13 Nov 2017
    You may consider the Internet of Things as an environment where each and everything that surrounds you i.e.: objects like vehicles, flora, fauna, and people – are Things. The role that IoT plays here to the “things” is add digital interactivity amongst them. Sounds crazy, right?     This is exactly what could happen in the near future. IoT can take the Internet to another level, where web applications interact with each other and with people, also interaction between web applications and other countless objects in the physical world takes place. And physical world also means everything that you can imagine of like: instruments, electronic devices, smart devices, telecommunication enables devices, houses, transportation, medical devices and so on. And guess what all these are completely connected via internet!   Cloud computing and Internet of Things (IoT) are two different technologies that are already playing an important part of our lives. It is predicted that IoT might accelerate operation of the cloud computing technology, also will intensively advance predictions about consumer preferences, also modify the breadth of facilities that managed service providers can provide. The tons of GB’s of data generated by cities, needs to be stored, processed and accessed, which leads to rapid growth of IoT and this rapid data generation calls for association of technologies and also creates a connection between “things.” Here Cloud technology acts as a paradigm for data storage in large amounts and analytics on the data takes place. At the same time IoT is exciting in its own way, the innovation will derive by combining IoT with cloud computing.     Let’s talk about eNlight IoT, the eNlight enabled IoT has the potential to change the way we interact with our belongings. eNlight IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. eNlight IoT can support various devices, and can process and route sensor messages to other devices reliably and securely. With eNlight IoT, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected. eNlight IoT makes it easy to use Node RED, to build IoT applications that collect, process, analyze, visualize and act on data generated by connected devices, without having to manage any infrastructure.   Feature of eNlight IoT:   Device Connection Management:   eNlight IoT allows you to easily connect devices to the cloud and to other devices. You can actually make your thing talk to you using eNlight IoT. Connecting your devices and interacting with them was never so easy.     Secure device Connection, data transfer & Access Control   eNlight IoT provides authentication, access control and end-to-end encryption throughout all points of connection, so that data is never exchanged between devices and eNlight IoT without proven identity.     Real-Time Data Management   With eNlight IoT, you can collect, filter, transform, and trigger upon device data on the fly, based on business rules you define. You can update your rules to implement new device and application features at any time. eNlight IoT makes it easy to use Node RED services for your device data. You can easily set real-time triggers and notifications on your device data on the fly.     Rich Analytics & Insights   With eNlight IoT, you can collect, analyze and visualize device data on our Dashboard. You can visualize data with various graphs and widgets. eNlight IoT makes it easy to use Node RED services for your device data to send data to various analytics tools and do real-time analysis of your device data.     The ideal eNlight IoT Use case:   Cloud computing and IoT combination will now enable monitoring utility and advance powerful processing of sensory data streams. For instance, data generated by smart devices can now be uploaded and stored on the eNlight enabled cloud, later on it can be used brilliantly for monitoring, analysis, generating insights and also for communication with other smart equipment. So the goal is to transform data to knowledgeable insights and be highly productive, and generate cost-effective action from those insights.   Ultimately eNlight IoT serves effectively as the most intelligent suite that improves decision-making and optimizes internet-based communication.  
    117 Posted by manohar parakh
  • You may consider the Internet of Things as an environment where each and everything that surrounds you i.e.: objects like vehicles, flora, fauna, and people – are Things. The role that IoT plays here to the “things” is add digital interactivity amongst them. Sounds crazy, right?     This is exactly what could happen in the near future. IoT can take the Internet to another level, where web applications interact with each other and with people, also interaction between web applications and other countless objects in the physical world takes place. And physical world also means everything that you can imagine of like: instruments, electronic devices, smart devices, telecommunication enables devices, houses, transportation, medical devices and so on. And guess what all these are completely connected via internet!   Cloud computing and Internet of Things (IoT) are two different technologies that are already playing an important part of our lives. It is predicted that IoT might accelerate operation of the cloud computing technology, also will intensively advance predictions about consumer preferences, also modify the breadth of facilities that managed service providers can provide. The tons of GB’s of data generated by cities, needs to be stored, processed and accessed, which leads to rapid growth of IoT and this rapid data generation calls for association of technologies and also creates a connection between “things.” Here Cloud technology acts as a paradigm for data storage in large amounts and analytics on the data takes place. At the same time IoT is exciting in its own way, the innovation will derive by combining IoT with cloud computing.     Let’s talk about eNlight IoT, the eNlight enabled IoT has the potential to change the way we interact with our belongings. eNlight IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. eNlight IoT can support various devices, and can process and route sensor messages to other devices reliably and securely. With eNlight IoT, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected. eNlight IoT makes it easy to use Node RED, to build IoT applications that collect, process, analyze, visualize and act on data generated by connected devices, without having to manage any infrastructure.   Feature of eNlight IoT:   Device Connection Management:   eNlight IoT allows you to easily connect devices to the cloud and to other devices. You can actually make your thing talk to you using eNlight IoT. Connecting your devices and interacting with them was never so easy.     Secure device Connection, data transfer & Access Control   eNlight IoT provides authentication, access control and end-to-end encryption throughout all points of connection, so that data is never exchanged between devices and eNlight IoT without proven identity.     Real-Time Data Management   With eNlight IoT, you can collect, filter, transform, and trigger upon device data on the fly, based on business rules you define. You can update your rules to implement new device and application features at any time. eNlight IoT makes it easy to use Node RED services for your device data. You can easily set real-time triggers and notifications on your device data on the fly.     Rich Analytics & Insights   With eNlight IoT, you can collect, analyze and visualize device data on our Dashboard. You can visualize data with various graphs and widgets. eNlight IoT makes it easy to use Node RED services for your device data to send data to various analytics tools and do real-time analysis of your device data.     The ideal eNlight IoT Use case:   Cloud computing and IoT combination will now enable monitoring utility and advance powerful processing of sensory data streams. For instance, data generated by smart devices can now be uploaded and stored on the eNlight enabled cloud, later on it can be used brilliantly for monitoring, analysis, generating insights and also for communication with other smart equipment. So the goal is to transform data to knowledgeable insights and be highly productive, and generate cost-effective action from those insights.   Ultimately eNlight IoT serves effectively as the most intelligent suite that improves decision-making and optimizes internet-based communication.  
    Nov 13, 2017 117
  • 18 Oct 2017
    Middle banking is the centralization of banking transactions done thru the individuals and banks as a whole. the whole financial institution and its skills are controlled under a unmarried surroundings.the india post has a larger center banking device than that of sbi, stated union it and communications minister ravi shankar prasad. the india publish modified into helped via way of tech big infosys to installation the middle banking answers connecting 1.5lakh post places of work with 20crore client payments in 2012. implementation of cbs is an vital part of authorities’s plan for it modernization.what's core banking?a patron can manipulate his/her financial institution account and carry out simple transactions like withdrawal, deposit, transfer from any department of the bank. in layman terms, it an everywhere,each time bank.the banking programs are deployed on the centralized server and are constantly up to date in actual time because the patron performs a transaction. with the advancement of generation and cutting-edge-day cloud computing, center banking website hosting has come to be less difficult and rate powerful.blessings of center bankingwithin the millennial generation, the decision for for core banking solution is immoderate. with the fast pace digital age, middle banking is a severe need of the monetary and credit score institutions. also, because of iot and cell banking cbs implementations is welcomed.the customers can display all their bank debts in one region and  can manage their cash as and at the same time as desired. a secure 24*7 banking facility is to be had. speedy payments via the usage of internet banking and cell banking is some other benefit of center banking.middle banking answers allow business business enterprise continuity for entities and clean analytics of records. a low rate going for walks shape assists in the investments to reach out to more customers and enlarge geographic reach. with transparency of transactions, file submissions to the government and distinctive regulatory our bodies like rbi becomes unchallenging.
    139 Posted by manohar parakh
  • Middle banking is the centralization of banking transactions done thru the individuals and banks as a whole. the whole financial institution and its skills are controlled under a unmarried surroundings.the india post has a larger center banking device than that of sbi, stated union it and communications minister ravi shankar prasad. the india publish modified into helped via way of tech big infosys to installation the middle banking answers connecting 1.5lakh post places of work with 20crore client payments in 2012. implementation of cbs is an vital part of authorities’s plan for it modernization.what's core banking?a patron can manipulate his/her financial institution account and carry out simple transactions like withdrawal, deposit, transfer from any department of the bank. in layman terms, it an everywhere,each time bank.the banking programs are deployed on the centralized server and are constantly up to date in actual time because the patron performs a transaction. with the advancement of generation and cutting-edge-day cloud computing, center banking website hosting has come to be less difficult and rate powerful.blessings of center bankingwithin the millennial generation, the decision for for core banking solution is immoderate. with the fast pace digital age, middle banking is a severe need of the monetary and credit score institutions. also, because of iot and cell banking cbs implementations is welcomed.the customers can display all their bank debts in one region and  can manage their cash as and at the same time as desired. a secure 24*7 banking facility is to be had. speedy payments via the usage of internet banking and cell banking is some other benefit of center banking.middle banking answers allow business business enterprise continuity for entities and clean analytics of records. a low rate going for walks shape assists in the investments to reach out to more customers and enlarge geographic reach. with transparency of transactions, file submissions to the government and distinctive regulatory our bodies like rbi becomes unchallenging.
    Oct 18, 2017 139