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Technology 209 views Apr 26, 2018
Joining the dots between robotics and cloud computing.

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.



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.
    74 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 74
  • 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.
    64 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 64
  • 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.
    72 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 72
  • 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.
    120 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 120
  • 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.
    60 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 60
  • 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.
    227 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 227
  • 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.
    78 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 78
  • 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.
    104 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 104
  • 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.
    117 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 117
  • 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.
    86 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 86

Most Viewed Blogs/Articles From This Author

  • 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.
    713 Posted by manohar parakh
  • 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.
    640 Posted by manohar parakh
  • 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.
    584 Posted by manohar parakh
  • 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.
    460 Posted by manohar parakh

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