manohar parakh 's Entries

48 blogs
  • 04 Jun 2018
      Cloud environments are regularly touted as providing 100% guaranteed uptime, making them amongst the most reliable services available in the web hosting industry. Although dedicated servers have been able to provide similar uptime rates for a long time now, this hasn’t been without its cost and what has made the cloud popular is its relative affordability in comparison. With all this considered, you’re probably wondering what ingredients go into the cloud to make it as reliable as it is, well read on to find out. The support of multiple servers A cloud environment is comprised of multiple servers that are controlled by a common piece of software known as a ‘hypervisor’. Rather than running an operating system such as Windows or Linux, the hardware underpinning the cloud is based on this hypervisor software so that it has direct access to the hardware on the server and therefore better control; running virtualisation software on top of an existing operating system can sometimes cause compatibility and permissions issues. With all of these servers being controlled by central servers and running a common piece of software, all resources are virtually pooled and the cloud is treated as a single entity rather than as a collection of individual servers. Virtual machines in the cloud can be transported across the cloud as dictated by server availability; if one server fails, the VMs hosted on that server can be moved over to another server almost instantaneously so that users don’t experience any disruption to their service. A central SAN, or Storage Area Network, which is basically a large collection of hard drives hosted in a network-connected appliance, usually managed storage in the cloud. The central storage architecture contributes to the ease of transporting VMs across servers since all data is stored here so when a virtual machine is migrated to another server, the VM’s actual data doesn’t need to be moved. All this aids the reliability of the cloud by providing an environment that is resilient against hardware failure. Network and power redundancy To accompany the multiple servers that power a cloud environment, network and power redundancy also assist in providing a service that is capable of achieving 100% uptime. Network redundancy is fundamental in allowing external access to websites and servers that are hosted in the cloud and you will be hard done by to find an ISP or data centre provider that hosts its servers on a single connection. In the case of our cloud, you will find that your virtual machines will be hosted on a cloud in a data centre that utilises multiple Internet connections so that if the primary connection does fail, you will still have full access to your cloud servers. N+1 redundancy has also been used in the design of internal networks; if you imagine N = a piece of networking hardware, +1 is the exact same piece of hardware. Network item N is the primary piece of hardware that is in use, whilst +1 is a backup that is available for the network to fallback onto in the event of the failure of the primary networking appliance. Power redundancy is just as important as networking redundancy. If the power to the hardware in the cloud fails then in any place other than a data centre, this would result in the entire environment crashing because it has no electricity to run it. However, in a professional data centre a cloud will be running off multiple power feeds. As is the case with network redundancy, multiple power feeds have been used so that in the event that the primary power feed is cut off, electricity can still be supplied from other sources. Other typical power redundancy measures taken include UPS (Uninterruptable Power Supply) batteries and diesel generators that can provide power for the short-term in case of a complete blackout. The support All server hardware needs to be professionally maintained if it is to remain operational. And the cloud is no exception to this rule; indeed having professional support engineers available around the clock is one of the core pillars of a reliable cloud environment. In the case of our cloud services, we provide full 24×7 support so that we are on hand to deal with any issues in the cloud the moment that they are discovered. Similarly as your package includes this full support, you can call on us to help you with any issue at any time of day so that you can get the most out of your cloud servers. It doesn’t matter whether hardware needs replacing, or software needs installing or updating, support engineers are the only people who have the technical knowhow to achieve these things and the chances are that the cloud would simply grind to a halt if such tasks weren’t performed on a regular basis.
    63 Posted by manohar parakh
  •   Cloud environments are regularly touted as providing 100% guaranteed uptime, making them amongst the most reliable services available in the web hosting industry. Although dedicated servers have been able to provide similar uptime rates for a long time now, this hasn’t been without its cost and what has made the cloud popular is its relative affordability in comparison. With all this considered, you’re probably wondering what ingredients go into the cloud to make it as reliable as it is, well read on to find out. The support of multiple servers A cloud environment is comprised of multiple servers that are controlled by a common piece of software known as a ‘hypervisor’. Rather than running an operating system such as Windows or Linux, the hardware underpinning the cloud is based on this hypervisor software so that it has direct access to the hardware on the server and therefore better control; running virtualisation software on top of an existing operating system can sometimes cause compatibility and permissions issues. With all of these servers being controlled by central servers and running a common piece of software, all resources are virtually pooled and the cloud is treated as a single entity rather than as a collection of individual servers. Virtual machines in the cloud can be transported across the cloud as dictated by server availability; if one server fails, the VMs hosted on that server can be moved over to another server almost instantaneously so that users don’t experience any disruption to their service. A central SAN, or Storage Area Network, which is basically a large collection of hard drives hosted in a network-connected appliance, usually managed storage in the cloud. The central storage architecture contributes to the ease of transporting VMs across servers since all data is stored here so when a virtual machine is migrated to another server, the VM’s actual data doesn’t need to be moved. All this aids the reliability of the cloud by providing an environment that is resilient against hardware failure. Network and power redundancy To accompany the multiple servers that power a cloud environment, network and power redundancy also assist in providing a service that is capable of achieving 100% uptime. Network redundancy is fundamental in allowing external access to websites and servers that are hosted in the cloud and you will be hard done by to find an ISP or data centre provider that hosts its servers on a single connection. In the case of our cloud, you will find that your virtual machines will be hosted on a cloud in a data centre that utilises multiple Internet connections so that if the primary connection does fail, you will still have full access to your cloud servers. N+1 redundancy has also been used in the design of internal networks; if you imagine N = a piece of networking hardware, +1 is the exact same piece of hardware. Network item N is the primary piece of hardware that is in use, whilst +1 is a backup that is available for the network to fallback onto in the event of the failure of the primary networking appliance. Power redundancy is just as important as networking redundancy. If the power to the hardware in the cloud fails then in any place other than a data centre, this would result in the entire environment crashing because it has no electricity to run it. However, in a professional data centre a cloud will be running off multiple power feeds. As is the case with network redundancy, multiple power feeds have been used so that in the event that the primary power feed is cut off, electricity can still be supplied from other sources. Other typical power redundancy measures taken include UPS (Uninterruptable Power Supply) batteries and diesel generators that can provide power for the short-term in case of a complete blackout. The support All server hardware needs to be professionally maintained if it is to remain operational. And the cloud is no exception to this rule; indeed having professional support engineers available around the clock is one of the core pillars of a reliable cloud environment. In the case of our cloud services, we provide full 24×7 support so that we are on hand to deal with any issues in the cloud the moment that they are discovered. Similarly as your package includes this full support, you can call on us to help you with any issue at any time of day so that you can get the most out of your cloud servers. It doesn’t matter whether hardware needs replacing, or software needs installing or updating, support engineers are the only people who have the technical knowhow to achieve these things and the chances are that the cloud would simply grind to a halt if such tasks weren’t performed on a regular basis.
    Jun 04, 2018 63
  • 30 May 2018
    We have almost reached the mid of 2018 and it is important to realize what is the scope for network security and the areas where IT focus has major impact. Here are some trends, challenges and hazards that await the tech-kind in the near future: The evolution of malware: Generally, attackers wish to target cyber victims globally and malware has so far been one of the most efficient ways to do so. From the last few years, spreading malware across a network has been the perfect attacking method because almost all antivirus programs fail against such an approach. Due to this more security vendors have started offering malware defense but, it seems like malware technology is updating itself more vigorously compared to the solutions to fight it. Security vendors guard enterprise data and personal computers and before the vendors even begin prevention measures the attackers shift their techniques again. Now, it is can be predicted that attackers will adopt mobile malware as almost all corporate enterprise allow the use of mobile devices. All mobile devices are allowed to join the corporate internet connectivity like Wi-Fi networks. Thus, mobile malware can make these devices lethal allowing attackers to gain access to confidential data of enterprises. IoT complication that leads to Distributed Denial of Service (DDoS) attacks: It has been observed that Internet of Things (IoT) technology is growing like never before and has reached corporate and business networks as well as government bodies; this presents a combined larger target with a plethora of security risks. On the other hands, the IoT world also has an extensive range of protocols which is altogether another point of contention. A lot of businesses lack IoT related skills like complicated system architectures, weak security of product and features and operational immaturity. All the above mentioned reasons lead to further security problems. A report by F5 Networks last year predicted a rise in IoT devices from 8.4 billion in 2017 to 20.4 billion by 2020; the report also predicted that all these unregulated IoT devices might lead to a widespread destruction as they might become cyber-weapons for attackers in the years to come. There have been several DDoS attacks sourced from vulnerable IoT devices in recorded history and it is predicted that such attacks will rise even more in the coming years. A boost in cyber defenses by Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and Machine Learning (ML) have a big role to play in the future as they gather pace having started impacting enterprises and big businesses. Information security professionals find AI and ML to be a boon as algorithms and models enabled by ML can forecast and precisely identify cyber-attacks. Professionals need to make sure that these models are trained to perform their tasks as well as be safe and secure. However, the risk of exploitation of AI and ML by attackers looms large. Intelligent Things Intelligent Things are a set of devices and processes networked together in such a way that they can function independently in order to complete a task. Intelligent Things are nothing but an extension of IoT. To understand this in a better way let’s take the example of driver-less cars powered by AI. Say a person wants to travel from point A to point B in a driverless car, his interaction with the AI-based system of the car is minimum. However, if the car is stolen, wearable smart devices (Intelligent Things) can collect and analyze the information about the vehicle. This makes the entire system secure. Being able to secure this network of Intelligent Things will boost the IT priority list as attacks keep growing day by day and enterprises tend to become more comfortable with the use of intelligent machines in everyday operations. It is necessary to know that a secured network can deliver numerous benefits to enterprises and corporates such as enhanced IT processes, increased productivity, and efficient services. It also caters the most secured and guarded data that meets the list of quality standards determined by the enterprises. A good security practice is to ensure only authorized people have the access to network resources of a company.
    67 Posted by manohar parakh
  • We have almost reached the mid of 2018 and it is important to realize what is the scope for network security and the areas where IT focus has major impact. Here are some trends, challenges and hazards that await the tech-kind in the near future: The evolution of malware: Generally, attackers wish to target cyber victims globally and malware has so far been one of the most efficient ways to do so. From the last few years, spreading malware across a network has been the perfect attacking method because almost all antivirus programs fail against such an approach. Due to this more security vendors have started offering malware defense but, it seems like malware technology is updating itself more vigorously compared to the solutions to fight it. Security vendors guard enterprise data and personal computers and before the vendors even begin prevention measures the attackers shift their techniques again. Now, it is can be predicted that attackers will adopt mobile malware as almost all corporate enterprise allow the use of mobile devices. All mobile devices are allowed to join the corporate internet connectivity like Wi-Fi networks. Thus, mobile malware can make these devices lethal allowing attackers to gain access to confidential data of enterprises. IoT complication that leads to Distributed Denial of Service (DDoS) attacks: It has been observed that Internet of Things (IoT) technology is growing like never before and has reached corporate and business networks as well as government bodies; this presents a combined larger target with a plethora of security risks. On the other hands, the IoT world also has an extensive range of protocols which is altogether another point of contention. A lot of businesses lack IoT related skills like complicated system architectures, weak security of product and features and operational immaturity. All the above mentioned reasons lead to further security problems. A report by F5 Networks last year predicted a rise in IoT devices from 8.4 billion in 2017 to 20.4 billion by 2020; the report also predicted that all these unregulated IoT devices might lead to a widespread destruction as they might become cyber-weapons for attackers in the years to come. There have been several DDoS attacks sourced from vulnerable IoT devices in recorded history and it is predicted that such attacks will rise even more in the coming years. A boost in cyber defenses by Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and Machine Learning (ML) have a big role to play in the future as they gather pace having started impacting enterprises and big businesses. Information security professionals find AI and ML to be a boon as algorithms and models enabled by ML can forecast and precisely identify cyber-attacks. Professionals need to make sure that these models are trained to perform their tasks as well as be safe and secure. However, the risk of exploitation of AI and ML by attackers looms large. Intelligent Things Intelligent Things are a set of devices and processes networked together in such a way that they can function independently in order to complete a task. Intelligent Things are nothing but an extension of IoT. To understand this in a better way let’s take the example of driver-less cars powered by AI. Say a person wants to travel from point A to point B in a driverless car, his interaction with the AI-based system of the car is minimum. However, if the car is stolen, wearable smart devices (Intelligent Things) can collect and analyze the information about the vehicle. This makes the entire system secure. Being able to secure this network of Intelligent Things will boost the IT priority list as attacks keep growing day by day and enterprises tend to become more comfortable with the use of intelligent machines in everyday operations. It is necessary to know that a secured network can deliver numerous benefits to enterprises and corporates such as enhanced IT processes, increased productivity, and efficient services. It also caters the most secured and guarded data that meets the list of quality standards determined by the enterprises. A good security practice is to ensure only authorized people have the access to network resources of a company.
    May 30, 2018 67
  • 23 May 2018
    Evolving technologies has a great impact on businesses as it offers many opportunities and areas for development which can change the face of your business. There is a lot of potential when it comes to adopting a certain technology and implementing it so that you can try new ways to take your business to the next level. Artificial Intelligence is a hot topic of discussion in recent times because it offers a chance to take the next best technological step. Artificial Intelligence was coined as a term in early 1950 but only now it has come into practical use, thanks to the growing data and various fields where AI can be used with advanced algorithms and higher compute power. Artificial Intelligence is not an independent technology because it is a broad term which consists of many other terms which are related to AI and ranges from robotics to machine learning. Some refer to AI as ‘cognitive computing’ or ‘machine learning’ while others call it as ‘machine learning’. People tend to confuse these terms with one another because the end goal of AI is to build machines capable enough to perform critical tasks and cognitive functions which are actually within the scope of a human acumen. Artificial Intelligence is about machines learning the basic and most critical programs to gain experience and respond to demands and perform human-like tasks. You can also say that machine learning is a type of AI which allows the software to predict outcomes and provide results without being programmed for specific tasks. By providing inputs and programming a machine to do specific tasks, first it processes data and certain patterns because it needs to follow a code. In order to get the desired result, machines must be able to learn specific capabilities instead of feeling the need to programme them explicitly. We have achieved stunning progress in the field of AI in the last 10 years. Here are some of the amazing examples where companies have implemented AI into their business: Google’s AI-Powered Predictions Google Maps makes use of location data from smartphones, which analyzes the pace and movement of traffic at any given time. With the help of their Waze app which detects traffic incidents like construction and accidents, Google Maps can easily find out the traffic in reported areas. When vast amounts of data regarding traffic is received and fed into the algorithm, then Google Maps can easily provide the fastest route and areas which are less congested. Ridesharing Applications Uber is able to minimize your wait time when you hail a car or determine the price of your ride and provide you a service which is equivalent to other passenger’s location which minimizes detour. Have you ever given it a thought that how is Uber able to do it? The answer is Machine Learning. This provides a user with ETAs for rides, optimal pickup locations, drop-off points and avoiding detours for multiple customers. All this is possible due to machine learning. Use on an AI-based Autopilot AI technology in commercial airlines for autopilots dates back to 1914, which is surprisingly early for the use of an AI-based technology. A report suggests that only 7 minutes of human command is needed, which is reserved only during take-offs and landing else everything is taken care by autopilot based on AI. Further, we can divide Machine Learning into different categories based on the different algorithms. There are 4 types of ML according to their purpose and algorithms which are as follows:   Supervised Learning Supervised Learning is a concept where we need to insert an algorithm to train a machine for receiving a desired end result. We need to design a response which will best serve our query and will provide us with the exact desired solution. Many a times we are not able to create a true function which gives us the correct predictions and other reason can be assumptions made by humans which are hard for machines to understand. Here humans acts as a teacher where we feed data to a computer which contains inputs (Predictors) and also feed the correct answers from which a computer should be able to learn through patterns. Supervised learning algorithms are dependent on predicted output and code inputs so it can forecast the output based on previous data sets. Unsupervised Learning In unsupervised learning there is no labeled data which is grouped for a specific outcome. Unlike supervised learning, here there is no teacher or a supervisor who trains or inserts any kind of algorithm into the machine. When any type of data is fed into unsupervised machines, the machine processes this data on its own and produces new patterns and ideas. This too belongs to the family of machine learning algorithms which uses pattern detection and descriptive modeling and recognizes certain data patterns to provide a result even if it is not the desired one. When there is no specific algorithm to be followed by the machine, they still try to make a relationship between the actual output required based on the data fed to it. Semi-Supervised Learning The previous two types of learning either required a teacher or it didn’t, but this type of learning falls between the two of them. In supervised learning, there was labeled data which would provide the result which is expected and in unsupervised learning there was no specific label for a group of data which will provide the desired result. Here, skilled human experts are required for observations of algorithms which will be able to group labeled and unlabeled data to receive the outcome which is necessary. Reinforcement Learning Reinforcement Learning is a type of machine learning and is also a type of AI. Reinforcement learning is a type of agent which observes the previous experience in a specific environment to maximize the result and minimize risk. Here, the machine is in continuous learning phase in a particular environment in an interactive fashion. The continuous observing of events leads to extraction of complete possibilities of a data pattern. Reinforcement learning allows machines and software agents to determine ideal behavior between a specific environment to maximize the results. This provides various solutions to one’s query so that multiple options are ready to choose from. Conclusion We are experiencing a major shift in technology and it is up to us if we are ready to acknowledge and adopt these technologies in our lives. Artificial Intelligence is truly the future because it caters to a lot of needs through automation and continuous learning. Human efforts are reduced with the help of AI and machine learning.
    74 Posted by manohar parakh
  • Evolving technologies has a great impact on businesses as it offers many opportunities and areas for development which can change the face of your business. There is a lot of potential when it comes to adopting a certain technology and implementing it so that you can try new ways to take your business to the next level. Artificial Intelligence is a hot topic of discussion in recent times because it offers a chance to take the next best technological step. Artificial Intelligence was coined as a term in early 1950 but only now it has come into practical use, thanks to the growing data and various fields where AI can be used with advanced algorithms and higher compute power. Artificial Intelligence is not an independent technology because it is a broad term which consists of many other terms which are related to AI and ranges from robotics to machine learning. Some refer to AI as ‘cognitive computing’ or ‘machine learning’ while others call it as ‘machine learning’. People tend to confuse these terms with one another because the end goal of AI is to build machines capable enough to perform critical tasks and cognitive functions which are actually within the scope of a human acumen. Artificial Intelligence is about machines learning the basic and most critical programs to gain experience and respond to demands and perform human-like tasks. You can also say that machine learning is a type of AI which allows the software to predict outcomes and provide results without being programmed for specific tasks. By providing inputs and programming a machine to do specific tasks, first it processes data and certain patterns because it needs to follow a code. In order to get the desired result, machines must be able to learn specific capabilities instead of feeling the need to programme them explicitly. We have achieved stunning progress in the field of AI in the last 10 years. Here are some of the amazing examples where companies have implemented AI into their business: Google’s AI-Powered Predictions Google Maps makes use of location data from smartphones, which analyzes the pace and movement of traffic at any given time. With the help of their Waze app which detects traffic incidents like construction and accidents, Google Maps can easily find out the traffic in reported areas. When vast amounts of data regarding traffic is received and fed into the algorithm, then Google Maps can easily provide the fastest route and areas which are less congested. Ridesharing Applications Uber is able to minimize your wait time when you hail a car or determine the price of your ride and provide you a service which is equivalent to other passenger’s location which minimizes detour. Have you ever given it a thought that how is Uber able to do it? The answer is Machine Learning. This provides a user with ETAs for rides, optimal pickup locations, drop-off points and avoiding detours for multiple customers. All this is possible due to machine learning. Use on an AI-based Autopilot AI technology in commercial airlines for autopilots dates back to 1914, which is surprisingly early for the use of an AI-based technology. A report suggests that only 7 minutes of human command is needed, which is reserved only during take-offs and landing else everything is taken care by autopilot based on AI. Further, we can divide Machine Learning into different categories based on the different algorithms. There are 4 types of ML according to their purpose and algorithms which are as follows:   Supervised Learning Supervised Learning is a concept where we need to insert an algorithm to train a machine for receiving a desired end result. We need to design a response which will best serve our query and will provide us with the exact desired solution. Many a times we are not able to create a true function which gives us the correct predictions and other reason can be assumptions made by humans which are hard for machines to understand. Here humans acts as a teacher where we feed data to a computer which contains inputs (Predictors) and also feed the correct answers from which a computer should be able to learn through patterns. Supervised learning algorithms are dependent on predicted output and code inputs so it can forecast the output based on previous data sets. Unsupervised Learning In unsupervised learning there is no labeled data which is grouped for a specific outcome. Unlike supervised learning, here there is no teacher or a supervisor who trains or inserts any kind of algorithm into the machine. When any type of data is fed into unsupervised machines, the machine processes this data on its own and produces new patterns and ideas. This too belongs to the family of machine learning algorithms which uses pattern detection and descriptive modeling and recognizes certain data patterns to provide a result even if it is not the desired one. When there is no specific algorithm to be followed by the machine, they still try to make a relationship between the actual output required based on the data fed to it. Semi-Supervised Learning The previous two types of learning either required a teacher or it didn’t, but this type of learning falls between the two of them. In supervised learning, there was labeled data which would provide the result which is expected and in unsupervised learning there was no specific label for a group of data which will provide the desired result. Here, skilled human experts are required for observations of algorithms which will be able to group labeled and unlabeled data to receive the outcome which is necessary. Reinforcement Learning Reinforcement Learning is a type of machine learning and is also a type of AI. Reinforcement learning is a type of agent which observes the previous experience in a specific environment to maximize the result and minimize risk. Here, the machine is in continuous learning phase in a particular environment in an interactive fashion. The continuous observing of events leads to extraction of complete possibilities of a data pattern. Reinforcement learning allows machines and software agents to determine ideal behavior between a specific environment to maximize the results. This provides various solutions to one’s query so that multiple options are ready to choose from. Conclusion We are experiencing a major shift in technology and it is up to us if we are ready to acknowledge and adopt these technologies in our lives. Artificial Intelligence is truly the future because it caters to a lot of needs through automation and continuous learning. Human efforts are reduced with the help of AI and machine learning.
    May 23, 2018 74
  • 18 May 2018
    Technology finds various ways to amuse us by showing us exactly what we humans are able to do by implementing newer technologies in our day-to-day life which eases the burden of certain tasks and activities. There is an introduction of a new technology every month which enables us to adopt and overcome tasks which can be handled through automation. Here we are going to discuss about a relatively newer term (but an older technology) which is recently catching the eye of every organization because it shows potential and a bright future for cloud computing. The name says it all as it signifies the edge in a network where the data travels through the network diagram. In edge computing, the computing power is pushed at the edge of the network, so when devices like smart traffic lights and cameras need to connect to a cloud or a data center for instructions or data analytics, these devices are more than capable to perform data analytics by themselves. In edge computing, data analysis occurs very close to the IoT devices which results in speedy analytics and decision making. What is Edge Computing? ‘Edge Computing’ or ‘edge of system registering', is a procedure that empowers Internet of Things (IoT) to be broke down significantly snappier by preparing where the data is made instead of transporting it to a distant datacenter. This increases speedy analytics which provides real-time examination required by a large number of the present undertakings. This also decreases the amount of communication bandwidth between sensors and the main data center by executing data analytics at the source where the data is being created. What exactly do we mean by Edge Computing? Edge registering works by putting away and handling basic information on a system of smaller scale datacenters before it is sent to the focal cloud or datacenter archive. Fundamentally utilized for managing IoT information, edge gadgets gather the information, embrace basic handling locally and after that forward the information to the cloud for capacity and any further preparing. IoT devices generate data which can be small or large in amount depending on the device’s information collection. The data is transferred to a nearby device which has the compute power, storage and network connectivity and thus the data is processed locally. Implementation and Expectations from this Technology Many organizations have begun to implement edge computing in their IoT environment because it saves a lot of time taken by the devices to communicate with their host in order to take the necessary decisions. Edge computing processes the data instantly where it is created which provides with instant results and decisions. This benefits organizations in many ways like; cost savings, time taken to interact with a cloud, instant analysis and provides faster responses to clients. There is a huge amount of data being generated everyday through computer-to-computer communications and IoT devices which eventually comes down to processing this data. For example, let’s assume there are multiple devices installed in a city which creates and transmits massive measures of information - it is a big investment which demands data analysis tools to process huge measures of information, these tools offer real time analysis of the data being collected by various devices and provide reports and results instantly. There are mainly 4 vital drivers pushing us towards the edge computing and these are as follows: Evolving customer expectations from their own business Optimum use of data to explore new possibilities Upcoming technologies in networking and software which offers opportunities in edge computing Application on edge platform like IoT devices which processes and transforms data through a network for better customer experience and better delivery of data Let’s have a look at the benefits There are many advantages to organizations when they adopt the edge platform, so let’s see how edge computing is proving to be beneficial for enterprises: Quick Responses –Due to high computational power at the edge of a device, the time taken to process data and send back to the host is very quick. There is no trip to the cloud for analysis which makes the process faster and highly responsive.   Low operating cost – There is almost no costs involved due to smaller operations and very low data management expenses.   Security of the Highest Level – A lot of data transfer is avoided between the devices and the datacenter due to edge computing’s technology. This technology also enables to filter sensitive information and only transfer the important data which provides adequate amount of security.   A Pocket-Friendly Solution: While adopting IoT a user needs to pay up upfront for bandwidth, storage and computational power. Edge computing performs data analytics at the device location which saves the final costs of an overall IT solution.   A true connection between legacy and modern devices – Legacy machines are able to connect to IoT solutions (relatively modern) which offers benefits from legacy devices and modern machines. Edge computing components truly act as a link between legacy and modern machines. Conclusion CIOs that are very future oriented should definitely go for edge computing which offers so much in the current technology scenario. Data is being generated in abundance and there also tools to process this data but the only thing which is a concern is the time taken to analyze this data and transfer it through point A to point B. Quick insights are provided whenever data is generated through IoT devices and are ready to implement for faster business decisions.  
    143 Posted by manohar parakh
  • Technology finds various ways to amuse us by showing us exactly what we humans are able to do by implementing newer technologies in our day-to-day life which eases the burden of certain tasks and activities. There is an introduction of a new technology every month which enables us to adopt and overcome tasks which can be handled through automation. Here we are going to discuss about a relatively newer term (but an older technology) which is recently catching the eye of every organization because it shows potential and a bright future for cloud computing. The name says it all as it signifies the edge in a network where the data travels through the network diagram. In edge computing, the computing power is pushed at the edge of the network, so when devices like smart traffic lights and cameras need to connect to a cloud or a data center for instructions or data analytics, these devices are more than capable to perform data analytics by themselves. In edge computing, data analysis occurs very close to the IoT devices which results in speedy analytics and decision making. What is Edge Computing? ‘Edge Computing’ or ‘edge of system registering', is a procedure that empowers Internet of Things (IoT) to be broke down significantly snappier by preparing where the data is made instead of transporting it to a distant datacenter. This increases speedy analytics which provides real-time examination required by a large number of the present undertakings. This also decreases the amount of communication bandwidth between sensors and the main data center by executing data analytics at the source where the data is being created. What exactly do we mean by Edge Computing? Edge registering works by putting away and handling basic information on a system of smaller scale datacenters before it is sent to the focal cloud or datacenter archive. Fundamentally utilized for managing IoT information, edge gadgets gather the information, embrace basic handling locally and after that forward the information to the cloud for capacity and any further preparing. IoT devices generate data which can be small or large in amount depending on the device’s information collection. The data is transferred to a nearby device which has the compute power, storage and network connectivity and thus the data is processed locally. Implementation and Expectations from this Technology Many organizations have begun to implement edge computing in their IoT environment because it saves a lot of time taken by the devices to communicate with their host in order to take the necessary decisions. Edge computing processes the data instantly where it is created which provides with instant results and decisions. This benefits organizations in many ways like; cost savings, time taken to interact with a cloud, instant analysis and provides faster responses to clients. There is a huge amount of data being generated everyday through computer-to-computer communications and IoT devices which eventually comes down to processing this data. For example, let’s assume there are multiple devices installed in a city which creates and transmits massive measures of information - it is a big investment which demands data analysis tools to process huge measures of information, these tools offer real time analysis of the data being collected by various devices and provide reports and results instantly. There are mainly 4 vital drivers pushing us towards the edge computing and these are as follows: Evolving customer expectations from their own business Optimum use of data to explore new possibilities Upcoming technologies in networking and software which offers opportunities in edge computing Application on edge platform like IoT devices which processes and transforms data through a network for better customer experience and better delivery of data Let’s have a look at the benefits There are many advantages to organizations when they adopt the edge platform, so let’s see how edge computing is proving to be beneficial for enterprises: Quick Responses –Due to high computational power at the edge of a device, the time taken to process data and send back to the host is very quick. There is no trip to the cloud for analysis which makes the process faster and highly responsive.   Low operating cost – There is almost no costs involved due to smaller operations and very low data management expenses.   Security of the Highest Level – A lot of data transfer is avoided between the devices and the datacenter due to edge computing’s technology. This technology also enables to filter sensitive information and only transfer the important data which provides adequate amount of security.   A Pocket-Friendly Solution: While adopting IoT a user needs to pay up upfront for bandwidth, storage and computational power. Edge computing performs data analytics at the device location which saves the final costs of an overall IT solution.   A true connection between legacy and modern devices – Legacy machines are able to connect to IoT solutions (relatively modern) which offers benefits from legacy devices and modern machines. Edge computing components truly act as a link between legacy and modern machines. Conclusion CIOs that are very future oriented should definitely go for edge computing which offers so much in the current technology scenario. Data is being generated in abundance and there also tools to process this data but the only thing which is a concern is the time taken to analyze this data and transfer it through point A to point B. Quick insights are provided whenever data is generated through IoT devices and are ready to implement for faster business decisions.  
    May 18, 2018 143
  • 17 May 2018
    In today’s world the Internet has become an integral part of our life. Each and every individual is connected to the internet and is able access it from anywhere at any given time. In this digital era, you’ll find a website for every possible object you can think of only because it wants to create its digital presence. We surf many websites in a day but we never think about how secure the website is. It is something which really needs some attention and action. Cybersecurity is a major concern for any business due to the increase in cyber threat from many hackers. Websites are often compromised and sensitive information is leaked which is exchanged through the website. Website security is essential to prevent data theft and misuse of the same. A website breach can create huge liability costs and will make the users lose their confidence in a business. The data on your website is precious and important to your business because it holds your customers’ data and it is your responsibility to protect it. There are still a large number of internet users who are not aware about what an SSL Certificate is and how important it is to protect your website. In this blog we will start from the basics and cover as much information as possible about SSL Certificates. What is an SSL Certificate? Secure Socket Layer (SSL) is a standard security innovation which establishes a scrambled connection between a web server and a program. This particular link ensures that whatever data is exchanged between the web server and the browser remains private and fundamental. Basically, SSL Certificates are little information documentswhich digitally attach a cryptographic key to an association information. How SSL Certificates protect your data? When an SSL Certificate is introduced on a web server, it enacts the lock and the https convention which then permits secure associations from a web server to a program. A user can easily recognize and be assured if a website has SSL Certificate by simply looking at the address bar which will display a padlock in green color and https; where the ‘S’ stands for secured. SSL Certificates are used to secure data transfers and logins, financial information like credit card transactions and social media and e-commerce sites which have a lot of user/customer data. When an SSL Certificate is installed on a server, a secure connection is established between the Client and the Host computer (If a Client needs to set up an SSL session then a request is made to the Host who then establishes a secure link). In this case, only the Host can decrypt the responses and the Client can verify the SSL Certificate. Now, the Host and the Client can exchange the decrypted information which only these two parties are able to read. It protects sensitive information which is submitted by a user including the client’s name, address and credit/debit card information and it is not limited to just this. Importance of SSL Certificate SSL Certificate is the backbone of a secure internet connection. As we surf the internet and go through many websites in a day, there is a good chance that some of the websites are unsecure because they lack SSL Certificate. It is critical to share any information on these websites because it can lead to theft or misuse of your data. For safe exchange of data and smooth web browsing experience it is very essential to install an SSL Certificate on your server. Benefits of an SSL Certificate Encrypts Sensitive Information SSL Certificate encrypts information which can be understood by only the intended parties. Any information which is exchanged on the internet often passes through one or more computers which increases the chances of a third party to obtain that data. SSL Certificate puts erratic information in the original information which stops anyone to access the information unless they have an encryption key. Without the proper key the information will be useless even if it falls in the wrong hands. You can easily recognize if the site is secured by looking at the ‘http’ which has changed to ‘https’ and the lock icon in the address bar. Provides Authentication When receiving an SSL Certificate, the client also obtains a Server Certificate which acts as a safe mediator between the browser and the server. A client needs to be sure that the overall information is being transferred to the right server. Customers or website visitors are able to see these certificates to check if the website is trusted or is just an imitation. These certificates also mention that the certificate provider is reliable and trustworthy. Necessary for Accepting Payments SSL Certificate is important to exchange any sensitive payment information on the website. To adhere to these online payments standards, one needs to have a certificate of at least 128-bit encryption. The certificate should be PCI certified which examines if the source who is providing the certificate is to be trusted, the strength of encryption level is checked and it is must to provide a private connection to a user to submit his/her payment information on the webpage. If you have an e-commerce site and you accept online payments, then nothing is as important as holding a SSL Certificate. Guards gainst Phishing These days there are many spam emails which users receive from uncertified locations, which apparently takes the user to a fake website to extract payment information from them. These sites try to convince you that it is an authentic website, but when a user sees that these websites are not safe for exchanging any type of information then the user scrams away from such websites. Hackers have a hard time obtaining an authenticate SSL Certificate because of their inappropriate business practices. Business Future Proofing It is important to acquire new customers and retain all of them in order to be successful. When you provide your customers with what they require, you make sure that you have taken care of their needs and they will stick with you in the future. There are bigger risks in e-commerce today but if you protect your customer, the customer will definitely protect your business by staying loyal to you. Conclusion Internet is not a safe place to be if you don’t comply with safety standards. There are many hackers who are after your information and will try to get their hands on it the second they get a chance. It is important to protect your business when you have important exchange of information online. SSL Certificates take care of your online transactions by providing you top level of data security.
    35 Posted by manohar parakh
  • In today’s world the Internet has become an integral part of our life. Each and every individual is connected to the internet and is able access it from anywhere at any given time. In this digital era, you’ll find a website for every possible object you can think of only because it wants to create its digital presence. We surf many websites in a day but we never think about how secure the website is. It is something which really needs some attention and action. Cybersecurity is a major concern for any business due to the increase in cyber threat from many hackers. Websites are often compromised and sensitive information is leaked which is exchanged through the website. Website security is essential to prevent data theft and misuse of the same. A website breach can create huge liability costs and will make the users lose their confidence in a business. The data on your website is precious and important to your business because it holds your customers’ data and it is your responsibility to protect it. There are still a large number of internet users who are not aware about what an SSL Certificate is and how important it is to protect your website. In this blog we will start from the basics and cover as much information as possible about SSL Certificates. What is an SSL Certificate? Secure Socket Layer (SSL) is a standard security innovation which establishes a scrambled connection between a web server and a program. This particular link ensures that whatever data is exchanged between the web server and the browser remains private and fundamental. Basically, SSL Certificates are little information documentswhich digitally attach a cryptographic key to an association information. How SSL Certificates protect your data? When an SSL Certificate is introduced on a web server, it enacts the lock and the https convention which then permits secure associations from a web server to a program. A user can easily recognize and be assured if a website has SSL Certificate by simply looking at the address bar which will display a padlock in green color and https; where the ‘S’ stands for secured. SSL Certificates are used to secure data transfers and logins, financial information like credit card transactions and social media and e-commerce sites which have a lot of user/customer data. When an SSL Certificate is installed on a server, a secure connection is established between the Client and the Host computer (If a Client needs to set up an SSL session then a request is made to the Host who then establishes a secure link). In this case, only the Host can decrypt the responses and the Client can verify the SSL Certificate. Now, the Host and the Client can exchange the decrypted information which only these two parties are able to read. It protects sensitive information which is submitted by a user including the client’s name, address and credit/debit card information and it is not limited to just this. Importance of SSL Certificate SSL Certificate is the backbone of a secure internet connection. As we surf the internet and go through many websites in a day, there is a good chance that some of the websites are unsecure because they lack SSL Certificate. It is critical to share any information on these websites because it can lead to theft or misuse of your data. For safe exchange of data and smooth web browsing experience it is very essential to install an SSL Certificate on your server. Benefits of an SSL Certificate Encrypts Sensitive Information SSL Certificate encrypts information which can be understood by only the intended parties. Any information which is exchanged on the internet often passes through one or more computers which increases the chances of a third party to obtain that data. SSL Certificate puts erratic information in the original information which stops anyone to access the information unless they have an encryption key. Without the proper key the information will be useless even if it falls in the wrong hands. You can easily recognize if the site is secured by looking at the ‘http’ which has changed to ‘https’ and the lock icon in the address bar. Provides Authentication When receiving an SSL Certificate, the client also obtains a Server Certificate which acts as a safe mediator between the browser and the server. A client needs to be sure that the overall information is being transferred to the right server. Customers or website visitors are able to see these certificates to check if the website is trusted or is just an imitation. These certificates also mention that the certificate provider is reliable and trustworthy. Necessary for Accepting Payments SSL Certificate is important to exchange any sensitive payment information on the website. To adhere to these online payments standards, one needs to have a certificate of at least 128-bit encryption. The certificate should be PCI certified which examines if the source who is providing the certificate is to be trusted, the strength of encryption level is checked and it is must to provide a private connection to a user to submit his/her payment information on the webpage. If you have an e-commerce site and you accept online payments, then nothing is as important as holding a SSL Certificate. Guards gainst Phishing These days there are many spam emails which users receive from uncertified locations, which apparently takes the user to a fake website to extract payment information from them. These sites try to convince you that it is an authentic website, but when a user sees that these websites are not safe for exchanging any type of information then the user scrams away from such websites. Hackers have a hard time obtaining an authenticate SSL Certificate because of their inappropriate business practices. Business Future Proofing It is important to acquire new customers and retain all of them in order to be successful. When you provide your customers with what they require, you make sure that you have taken care of their needs and they will stick with you in the future. There are bigger risks in e-commerce today but if you protect your customer, the customer will definitely protect your business by staying loyal to you. Conclusion Internet is not a safe place to be if you don’t comply with safety standards. There are many hackers who are after your information and will try to get their hands on it the second they get a chance. It is important to protect your business when you have important exchange of information online. SSL Certificates take care of your online transactions by providing you top level of data security.
    May 17, 2018 35
  • 14 May 2018
    Virtual Specialist Chatbot Recent improvements in Artificial Intelligence and Machine Learning has created constructive environment for investors and organizations who wish to create and develop automated chat agent which can imitate human-like behavior. There are various cases where an organization is benefitting due to implementation of a Virtual Assistant in their business. Many well-known websites feature some or the other type of automatic customer chat service, which helps customers with their issues through faster responses and precise problem solving. The Virtual Specialist Chatbot is your virtual employee who helps customers and visitors on your website 24x7. It commits high standards and Zero-errors; it reduces inquiries reaching your phone or email by learning to respond to all common service questions. About ESDS EnlightBot We’re closer to Artificial Intelligence & Natural Language Programming (NLP) Breakthroughs than ever before. This means that talking to a chatbot can closely become as real as talking to a human. Introducing EnlightBot - which has everything that a customer needs to build a chatbot including channel integration, dialogue flow, AI engine, integration and an easy to use bot builder UI that brings all this together. ESDS’ EnlightBot provides you with a solution that is predictable in terms of cost, ease of use, level of effort and with a rapid time to market. ESDS’ EnlightBot is designed to support any industry; banks, Insurance, Education, Hospitality, e-commerce, Government, Healthcare, Online Services and Technical support. Smart City initiatives are rapidly increasing their technology capabilities and chatbots are playing a key role in their business. Implementing a chatbot in a business will reduce 80% phone calls and e-mails. Key Features v  EnlightBot is AI and Natural Language Processing (NLP) enabled by Neural Networks and Machine Learning. v  ESDS’ EnlightBot can accurately detect the user’s intent & respond appropriately. v  Avant-Garde experience ensures your users are engaged and are loyal to your service. v  EnlightBot creates a context-aware conversational dialogue. v  Dramatically improves conversational experience. Chatbot Advantage v  It Improves engagement across the entire customer lifecycle v  Ability to engage with the customers in a natural and friendly manner v  Easy to interact using a simpler user interface and interactions are possible through familiar platforms like Facebook chat through (Application Programming Interface) API. v  Capability to outperform humans due to high speed while handling customer queries v  Enhanced end user satisfaction due to speed of problem solving v  Instant Return on Investment v  Automatic reminders v  Identifies cross selling and up selling of various products and services v  Personalized Banking services and Assistance v  Assists in easy KYC and customer on boarding v  Provides various analytics reports and exhibits charts & specific insights v  24/7 customer Support What exactly we provide ESDS’ EnlightBot Virtual Assistant, is an Intelligent bot empowered with – Artificial intelligence, Natural Language Processing, Neural Networks and Machine Learning. There are mainly 2 types of bots in the market which are - Dumb Bots and AI enabled Bots. A Dumb Bot answers to only a handful of questions through pre-programmed answers preset into them. On other side, an intelligent AI enabled chatbot which is also known as Virtual Assistants, processes Natural Language to understand and generate the information themselves. ESDS’ EnlightBot is AI enabled and is a Level 7 chatbot which facilitates seamless API integration with enterprises subsystems for real-time customer engagement. We provide you with an Intelligent Bot which dramatically improves the conversational experience, allowing a far more natural conversation between the Bot and the end user. Instead of the end user having to learn a fixed set of keywords that the bot will respond to, an Intelligent Bot is able to understand the user’s intention however it is expressed and respond accordingly. Intelligent Bots will ensure your users keep engaging and coming back to your service. By using Artificial Intelligence (AI) and Natural Language Processing (NLP) powered by Neural Networks and Machine Learning, ESDS’ EnlightBot can accurately detect what the user is trying to achieve (their intent) and respond appropriately with information or results of transactions from API connections to any of your back-end enterprise applications and information sources. The platform makes it simple and easy to build and train intelligent bots without the need for specialist AI skills. Your bots can then be exposed through many chat and voice channels, a custom mobile app or even your website would do the trick. Our Product is Enterprise Ready Experience Dialogue Management, Videos, Images, Emoticons, Voice Technology and is Designed to mimic human interactions. Intelligence Switching between Virtual and Real Agent, Business Specific Intelligence and Natural Language Understanding (NLU). 3rd Party Integration Integration with Backend Systems, API Access, Site Search, Single-Sign-on, Ticketing Systems and Customer Communication Management (CCM) Software. Scalability and Security Scalable – Vertical and Horizontal, Automatic Updates. Success Case Recently, we bagged our first ever client for EnlightBot in the form of Government of India’s Flagship Project which focuses on boosting MSMEs & Business Enterprises with easy loan processes. SIDBI’S www.udyamimitra.in has adopted EnlightBot platform and has named it ‘Samriddhi’.
    101 Posted by manohar parakh
  • Virtual Specialist Chatbot Recent improvements in Artificial Intelligence and Machine Learning has created constructive environment for investors and organizations who wish to create and develop automated chat agent which can imitate human-like behavior. There are various cases where an organization is benefitting due to implementation of a Virtual Assistant in their business. Many well-known websites feature some or the other type of automatic customer chat service, which helps customers with their issues through faster responses and precise problem solving. The Virtual Specialist Chatbot is your virtual employee who helps customers and visitors on your website 24x7. It commits high standards and Zero-errors; it reduces inquiries reaching your phone or email by learning to respond to all common service questions. About ESDS EnlightBot We’re closer to Artificial Intelligence & Natural Language Programming (NLP) Breakthroughs than ever before. This means that talking to a chatbot can closely become as real as talking to a human. Introducing EnlightBot - which has everything that a customer needs to build a chatbot including channel integration, dialogue flow, AI engine, integration and an easy to use bot builder UI that brings all this together. ESDS’ EnlightBot provides you with a solution that is predictable in terms of cost, ease of use, level of effort and with a rapid time to market. ESDS’ EnlightBot is designed to support any industry; banks, Insurance, Education, Hospitality, e-commerce, Government, Healthcare, Online Services and Technical support. Smart City initiatives are rapidly increasing their technology capabilities and chatbots are playing a key role in their business. Implementing a chatbot in a business will reduce 80% phone calls and e-mails. Key Features v  EnlightBot is AI and Natural Language Processing (NLP) enabled by Neural Networks and Machine Learning. v  ESDS’ EnlightBot can accurately detect the user’s intent & respond appropriately. v  Avant-Garde experience ensures your users are engaged and are loyal to your service. v  EnlightBot creates a context-aware conversational dialogue. v  Dramatically improves conversational experience. Chatbot Advantage v  It Improves engagement across the entire customer lifecycle v  Ability to engage with the customers in a natural and friendly manner v  Easy to interact using a simpler user interface and interactions are possible through familiar platforms like Facebook chat through (Application Programming Interface) API. v  Capability to outperform humans due to high speed while handling customer queries v  Enhanced end user satisfaction due to speed of problem solving v  Instant Return on Investment v  Automatic reminders v  Identifies cross selling and up selling of various products and services v  Personalized Banking services and Assistance v  Assists in easy KYC and customer on boarding v  Provides various analytics reports and exhibits charts & specific insights v  24/7 customer Support What exactly we provide ESDS’ EnlightBot Virtual Assistant, is an Intelligent bot empowered with – Artificial intelligence, Natural Language Processing, Neural Networks and Machine Learning. There are mainly 2 types of bots in the market which are - Dumb Bots and AI enabled Bots. A Dumb Bot answers to only a handful of questions through pre-programmed answers preset into them. On other side, an intelligent AI enabled chatbot which is also known as Virtual Assistants, processes Natural Language to understand and generate the information themselves. ESDS’ EnlightBot is AI enabled and is a Level 7 chatbot which facilitates seamless API integration with enterprises subsystems for real-time customer engagement. We provide you with an Intelligent Bot which dramatically improves the conversational experience, allowing a far more natural conversation between the Bot and the end user. Instead of the end user having to learn a fixed set of keywords that the bot will respond to, an Intelligent Bot is able to understand the user’s intention however it is expressed and respond accordingly. Intelligent Bots will ensure your users keep engaging and coming back to your service. By using Artificial Intelligence (AI) and Natural Language Processing (NLP) powered by Neural Networks and Machine Learning, ESDS’ EnlightBot can accurately detect what the user is trying to achieve (their intent) and respond appropriately with information or results of transactions from API connections to any of your back-end enterprise applications and information sources. The platform makes it simple and easy to build and train intelligent bots without the need for specialist AI skills. Your bots can then be exposed through many chat and voice channels, a custom mobile app or even your website would do the trick. Our Product is Enterprise Ready Experience Dialogue Management, Videos, Images, Emoticons, Voice Technology and is Designed to mimic human interactions. Intelligence Switching between Virtual and Real Agent, Business Specific Intelligence and Natural Language Understanding (NLU). 3rd Party Integration Integration with Backend Systems, API Access, Site Search, Single-Sign-on, Ticketing Systems and Customer Communication Management (CCM) Software. Scalability and Security Scalable – Vertical and Horizontal, Automatic Updates. Success Case Recently, we bagged our first ever client for EnlightBot in the form of Government of India’s Flagship Project which focuses on boosting MSMEs & Business Enterprises with easy loan processes. SIDBI’S www.udyamimitra.in has adopted EnlightBot platform and has named it ‘Samriddhi’.
    May 14, 2018 101
  • 13 May 2018
    Introduction Banking, Financial Services and Insurance (BFSI) is one sector that has been going through continuous technological disruptions. Every few months, a new trend is being adopted by this sector to make itself better. Most of these changes today are customer-centric and aim at enriching the consumer’s banking experience. About a decade ago banking in India was one of the most cumbersome fields as far as customer convenience was concerned involving long lines and lengthy procedures. Since then this sector has come a long way with automation, core banking, ATMs, online banking services, eKYC and much more serving today’s tech-savvy customer. Since 2016, the sector has been hit by Artificial Intelligence, Machine Learning and virtual agents. Several banks in the country and abroad have adopted robotics in some manner or the other to ease their processes, bring about workforce efficiency and ensure speedy delivery of services. Important Installations In India, leading bank SBI launched SIA, an AI-enabled virtual assistant specialized with assisting customers with everyday banking tasks that supposedly handles nearly 10,000 enquiries per second. Another leading bank, HDFC, has introduced ‘Eva’, which stands for Electronic Virtual Assistant. Eva assists with providing information about the bank’s products and services instantaneously. Indian government’s Micro, Small and Medium Enterprises empowering initiative Udyamimitra.com launched EnlightBot coming from the IT company ESDS’ bouquet of offerings. EnlightBot helps online customers with understanding the loan-acquiring process and utilizing other facilities of Udyamimitra. Similarly, internationally, Bank of America launched ‘Erica’ which specializes in recommending smart solutions to the bank’s customers. However, the introduction of AI in banking is not just limited to chatbots. A lot of banks and financial organisations are using software robotics to ease backend process for achieving better functional design. Global financial services firm JPMorgan Chase has launched COIN to analyze complex contracts saving almost 360,000 of man hours. It also handles IT access requests coming from employees. SBI is using AI to study, in real-time, the facial expressions of its customers visiting the bank’s branches to find out if they are happy or sad. ICICI, in the meanwhile, has deployed robotics software to ease over 200 of its processes across various business functions. This has helped the bank in reducing the response time for customers, increasing accuracy and thus, boosting productivity. What Statistics Say Statistics and predictions undoubtedly point in the direction that AI will herald a transformational change in the banking industry. According Capgemini, one robot can perform the tasks of as many as five employees. PricewaterhouseCoopers’ FinTech Report on India released in 2017 said that global investment in AI applications touched $5.1 billion in 2016, up from $4.0 billion in 2015. Many analysis also counter job-defending technology-pessimists; Gartner predicts that AI will not make human employment obsolete but will create 2 million jobs by 2019. But to realize the full value of AI in banking, it cannot be applied in an unorganized piecemeal manner. A workforce that can implement AI at the enterprise-level will be highly valued. Intelligent technologies should be used to create better work opportunities and that is probably the only way AI will bring about a long-lasting positive impact in the industry. A mind-set change will be more important in the time to come than just deep subject matter knowledge. Jobs will have to be enriched in reply to emerging technology being used as an aid to human intelligence. Pros and Cons Integrating artificial intelligence in the dynamic industry of banking and finance has several benefits. Some of these include accuracy, reduction in human error, cost cuts, scalability, etc. Another important activity that will become easy to perform with AI is data analytics. Machine Learning can effortlessly process a large amount of data swiftly. Patterns can be observed and customer service can be enhanced accordingly. Right customer can be contacted at the right time with the right product. Fraud detection will also become a cake walk since AI can immediately flag unusual transactions. It builds trust and creates a secure financial environment. What lies in the future Undoubtedly, AI will drive the banking and financial services markets of the future. This will only be possible if the industry is able to manage the security risk of AI systems. A report by several US & UK experts on malicious use of AI states that a range of security threats including cyber, political and physical arise with the growth in the capabilities and reach of AI. A proactive effort will be needed to stay ahead of the attackers, they feel. Moreover, the success of AI will boil down to customer impact above anything else. But if AI cannot achieve that and instead confuses the user with multiple pre-laid steps, then there’s a problem. What remains to be seen is how financial institutions will handle AI implementation in banking, and how it extends this service to customers. If banking intimacy is lost, then someone else will do it bypassing the banks.
    48 Posted by manohar parakh
  • Introduction Banking, Financial Services and Insurance (BFSI) is one sector that has been going through continuous technological disruptions. Every few months, a new trend is being adopted by this sector to make itself better. Most of these changes today are customer-centric and aim at enriching the consumer’s banking experience. About a decade ago banking in India was one of the most cumbersome fields as far as customer convenience was concerned involving long lines and lengthy procedures. Since then this sector has come a long way with automation, core banking, ATMs, online banking services, eKYC and much more serving today’s tech-savvy customer. Since 2016, the sector has been hit by Artificial Intelligence, Machine Learning and virtual agents. Several banks in the country and abroad have adopted robotics in some manner or the other to ease their processes, bring about workforce efficiency and ensure speedy delivery of services. Important Installations In India, leading bank SBI launched SIA, an AI-enabled virtual assistant specialized with assisting customers with everyday banking tasks that supposedly handles nearly 10,000 enquiries per second. Another leading bank, HDFC, has introduced ‘Eva’, which stands for Electronic Virtual Assistant. Eva assists with providing information about the bank’s products and services instantaneously. Indian government’s Micro, Small and Medium Enterprises empowering initiative Udyamimitra.com launched EnlightBot coming from the IT company ESDS’ bouquet of offerings. EnlightBot helps online customers with understanding the loan-acquiring process and utilizing other facilities of Udyamimitra. Similarly, internationally, Bank of America launched ‘Erica’ which specializes in recommending smart solutions to the bank’s customers. However, the introduction of AI in banking is not just limited to chatbots. A lot of banks and financial organisations are using software robotics to ease backend process for achieving better functional design. Global financial services firm JPMorgan Chase has launched COIN to analyze complex contracts saving almost 360,000 of man hours. It also handles IT access requests coming from employees. SBI is using AI to study, in real-time, the facial expressions of its customers visiting the bank’s branches to find out if they are happy or sad. ICICI, in the meanwhile, has deployed robotics software to ease over 200 of its processes across various business functions. This has helped the bank in reducing the response time for customers, increasing accuracy and thus, boosting productivity. What Statistics Say Statistics and predictions undoubtedly point in the direction that AI will herald a transformational change in the banking industry. According Capgemini, one robot can perform the tasks of as many as five employees. PricewaterhouseCoopers’ FinTech Report on India released in 2017 said that global investment in AI applications touched $5.1 billion in 2016, up from $4.0 billion in 2015. Many analysis also counter job-defending technology-pessimists; Gartner predicts that AI will not make human employment obsolete but will create 2 million jobs by 2019. But to realize the full value of AI in banking, it cannot be applied in an unorganized piecemeal manner. A workforce that can implement AI at the enterprise-level will be highly valued. Intelligent technologies should be used to create better work opportunities and that is probably the only way AI will bring about a long-lasting positive impact in the industry. A mind-set change will be more important in the time to come than just deep subject matter knowledge. Jobs will have to be enriched in reply to emerging technology being used as an aid to human intelligence. Pros and Cons Integrating artificial intelligence in the dynamic industry of banking and finance has several benefits. Some of these include accuracy, reduction in human error, cost cuts, scalability, etc. Another important activity that will become easy to perform with AI is data analytics. Machine Learning can effortlessly process a large amount of data swiftly. Patterns can be observed and customer service can be enhanced accordingly. Right customer can be contacted at the right time with the right product. Fraud detection will also become a cake walk since AI can immediately flag unusual transactions. It builds trust and creates a secure financial environment. What lies in the future Undoubtedly, AI will drive the banking and financial services markets of the future. This will only be possible if the industry is able to manage the security risk of AI systems. A report by several US & UK experts on malicious use of AI states that a range of security threats including cyber, political and physical arise with the growth in the capabilities and reach of AI. A proactive effort will be needed to stay ahead of the attackers, they feel. Moreover, the success of AI will boil down to customer impact above anything else. But if AI cannot achieve that and instead confuses the user with multiple pre-laid steps, then there’s a problem. What remains to be seen is how financial institutions will handle AI implementation in banking, and how it extends this service to customers. If banking intimacy is lost, then someone else will do it bypassing the banks.
    May 13, 2018 48
  • 11 May 2018
    Defining AI Artificial Intelligence (AI) is basically intelligence demonstrated outside the human mind, essentially by machines. Machine Learning (ML) is a way of achieving AI and can be defined as the ability of computers to learn using statistical techniques without being specially programmed. Both the terms are symbiotic but also mutually exclusive in their own right with different definitions. We are not unfamiliar with the concept of AI which has been time and again explored and exploited by popular media. Movies have gone as far as to show us a world dominated by AI-enabled machines and robots and these movies, more often than not, have ended up portraying negative repercussions of an AI-enabled society. This has more or less shaped up the general feeling revolving around AI in the society. However, in the technology industry experts have largely contrasting views about AI. While one lot feels that AI & Machine Learning is the way of the future and will aid humans to perform their tasks better, the other lot is of the opinion that AI has more cons than pros and will eventually lead to the downfall of humans (as popularly portrayed in Hollywood movies). Why AI is the way forward AI is software that is meant to perform functions that human intelligence can undertake like learning and problem solving among other things like reasoning, planning, perception as well as Natural Language Understanding (NLU) and Natural Language Processing (NLP). This technology, in the Information Technology (IT) sector, is being applied to several objects. Digital Assistants are one of the foremost products built keeping AI in mind. Amazon’s Alexa, Apple’s Siri, Tesla’s Autopilot are some popular Virtual Assistants. However, today, IT industries are experimenting with a plethora of AI-enabled services and solutions and tagging them ‘Smart’ like Smart TVs, Smart Toys, Smart Speakers, Smart Autonomous Cars and others. How can commoners access AI today? Log on to the websites of various e-commerce agencies or banks and a window pops up asking you ‘How May I Help You?’ Many of these chatbots today are AI-enabled as they continuously better themselves with more and more conversations. They can handle several queries in one go and can also cause switch from a computer to human in a fraction of a second. Several IT giants have come up with their own chatbots like IBM Watson, Microsoft Luis, Cognicor, IPSoft Amelia and ESDS’ Enlight-Bot. While most of them claim to be AI-enabled only a few have managed to achieve conversational intelligence with its proprietary algorithm extending to Language Generation. Most of these bots are Dumb Chatbots answering to only a handful of queries with preset questions and answers programmed in them. To be an intelligent AI-enabled ChatBot, also called Virtual Assistants, they need to go from processing natural language to understand and lastly is generating it themselves. For example, ESDS’ Enlight-Bot besides being AI-enabled extends its proprietary algorithm to Level 7 and also facilitates seamless API integration with enterprise subsystems as well as third parties allowing for real-time customer engagement. Negativity Surrounding AI The biggest threat that AI poses today is replacing humans in performing several jobs, eventually rendering people jobless. Automation also, to a certain extent, has caused such fears. However, if AI is looked upon as a tool rather than a replacement, companies will be able to achieve immense industrial growth. AI, in fact, can assist employees by gathering essential information, screening it and also bettering their productivity by performing performance checks among many other things. However, several renowned experts like Stephen Hawking and Elon Musk have expressed wariness about technological advances in AI claiming that it might eventually overpower the human race. While they are not completely against the development of AI, they believe that government regulation will be needed so as to save tech from going rogue. An international regulator is the need of the hour so that no one nation becomes an AI Supremo and eventually goes down the wayward path of controlling the world. Many other experts are also of the opinion that AI-enabled machines will work the other way round in a manner that they will make humankind depend on them to an extent of growing useless. According to Seth Shostak of SETI hyper-intelligent machines will exist on much more superior intellectual planes. However, we need to remember that several experts stressed on similar concerns about nuclear weapons, quantum computers and even lasers. The way these technologies are applied decides if it is harmful or helpful and so will be the case with AI, believe many. According to Microsoft founder Bill Gates, there is no need to panic about AI and leaders should not indulge is unsubstantiated fear-mongering, says Facebook founder Mark Zuckerberg. An ultimate partnership Meanwhile, many professionals across the world wide web are contemplating an ultimate partnership between Artificial Intelligence and Human Intelligence (AI+HI) where tools like AI are being active partners rather than just passive extensions of one’s self. For example, a lawn mower is a passive extension of one’s hand, but a drone is more of an active partner distributing intelligence with its operator. Remember Green Goblin’s Goblin Glider in Spiderman movie? The glider was not only a measure of a commute for Green Goblin, but also an intelligent super platform that gauged danger and moved from one place to another to protect its user. Interaction with such smart tools can give the power in human hands.
    77 Posted by manohar parakh
  • Defining AI Artificial Intelligence (AI) is basically intelligence demonstrated outside the human mind, essentially by machines. Machine Learning (ML) is a way of achieving AI and can be defined as the ability of computers to learn using statistical techniques without being specially programmed. Both the terms are symbiotic but also mutually exclusive in their own right with different definitions. We are not unfamiliar with the concept of AI which has been time and again explored and exploited by popular media. Movies have gone as far as to show us a world dominated by AI-enabled machines and robots and these movies, more often than not, have ended up portraying negative repercussions of an AI-enabled society. This has more or less shaped up the general feeling revolving around AI in the society. However, in the technology industry experts have largely contrasting views about AI. While one lot feels that AI & Machine Learning is the way of the future and will aid humans to perform their tasks better, the other lot is of the opinion that AI has more cons than pros and will eventually lead to the downfall of humans (as popularly portrayed in Hollywood movies). Why AI is the way forward AI is software that is meant to perform functions that human intelligence can undertake like learning and problem solving among other things like reasoning, planning, perception as well as Natural Language Understanding (NLU) and Natural Language Processing (NLP). This technology, in the Information Technology (IT) sector, is being applied to several objects. Digital Assistants are one of the foremost products built keeping AI in mind. Amazon’s Alexa, Apple’s Siri, Tesla’s Autopilot are some popular Virtual Assistants. However, today, IT industries are experimenting with a plethora of AI-enabled services and solutions and tagging them ‘Smart’ like Smart TVs, Smart Toys, Smart Speakers, Smart Autonomous Cars and others. How can commoners access AI today? Log on to the websites of various e-commerce agencies or banks and a window pops up asking you ‘How May I Help You?’ Many of these chatbots today are AI-enabled as they continuously better themselves with more and more conversations. They can handle several queries in one go and can also cause switch from a computer to human in a fraction of a second. Several IT giants have come up with their own chatbots like IBM Watson, Microsoft Luis, Cognicor, IPSoft Amelia and ESDS’ Enlight-Bot. While most of them claim to be AI-enabled only a few have managed to achieve conversational intelligence with its proprietary algorithm extending to Language Generation. Most of these bots are Dumb Chatbots answering to only a handful of queries with preset questions and answers programmed in them. To be an intelligent AI-enabled ChatBot, also called Virtual Assistants, they need to go from processing natural language to understand and lastly is generating it themselves. For example, ESDS’ Enlight-Bot besides being AI-enabled extends its proprietary algorithm to Level 7 and also facilitates seamless API integration with enterprise subsystems as well as third parties allowing for real-time customer engagement. Negativity Surrounding AI The biggest threat that AI poses today is replacing humans in performing several jobs, eventually rendering people jobless. Automation also, to a certain extent, has caused such fears. However, if AI is looked upon as a tool rather than a replacement, companies will be able to achieve immense industrial growth. AI, in fact, can assist employees by gathering essential information, screening it and also bettering their productivity by performing performance checks among many other things. However, several renowned experts like Stephen Hawking and Elon Musk have expressed wariness about technological advances in AI claiming that it might eventually overpower the human race. While they are not completely against the development of AI, they believe that government regulation will be needed so as to save tech from going rogue. An international regulator is the need of the hour so that no one nation becomes an AI Supremo and eventually goes down the wayward path of controlling the world. Many other experts are also of the opinion that AI-enabled machines will work the other way round in a manner that they will make humankind depend on them to an extent of growing useless. According to Seth Shostak of SETI hyper-intelligent machines will exist on much more superior intellectual planes. However, we need to remember that several experts stressed on similar concerns about nuclear weapons, quantum computers and even lasers. The way these technologies are applied decides if it is harmful or helpful and so will be the case with AI, believe many. According to Microsoft founder Bill Gates, there is no need to panic about AI and leaders should not indulge is unsubstantiated fear-mongering, says Facebook founder Mark Zuckerberg. An ultimate partnership Meanwhile, many professionals across the world wide web are contemplating an ultimate partnership between Artificial Intelligence and Human Intelligence (AI+HI) where tools like AI are being active partners rather than just passive extensions of one’s self. For example, a lawn mower is a passive extension of one’s hand, but a drone is more of an active partner distributing intelligence with its operator. Remember Green Goblin’s Goblin Glider in Spiderman movie? The glider was not only a measure of a commute for Green Goblin, but also an intelligent super platform that gauged danger and moved from one place to another to protect its user. Interaction with such smart tools can give the power in human hands.
    May 11, 2018 77
  • 11 May 2018
    The term “cloud” is all the rage. But what exactly does it mean?  Business applications are on the way to the cloud and the change is faster on than ever before: the shift from traditional software, and client-server models towards the Internet has gained in the last 10 years, resistant to momentum. A look into the future shows that cloud computing will bring in the next decade through mobile devices new opportunities for collaboration regardless of location.  Life before cloud computing  Traditional business applications have always been very complicated and expensive. The required amount and complexity of hardware and software to run business applications is overwhelming. To install, configure, test, run, secure, and updating this a whole team of experts is required. If these efforts, then apply for dozens or hundreds of applications, it rapidly becomes clear why the big companies do not always find the best IT departments the applications they require. Smaller and medium-sized enterprises as have little chance.  Cloud computing offers a better option  With cloud computing you rid yourself of these worries, because you manage any hardware or software. This responsibility is assigned to an experienced vendor like salesforce.com. The shared infrastructure corresponds to the offer of a utility: You only pay the required service updates automatically proceed and size changes in each direction are straightforward.  Cloud computing a better way  Cloud-based applications are deployed within days or weeks and they cost less. In a cloud application simply launch a browser, log in to fit the application, and start using the application. Companies carry applications from all areas in the Cloud from, for example, Customer Relationship Management (CRM), human resources, accounting and many more. Some of the world’s largest companies now run their applications in the cloud.  What is Cloud Computing? Cloud computing is vital and popular  In the technology industry, everyone is talking about it – and in the economic sector, many are asking the same question: “What is Cloud Computing and the importance of this technology for my business?”  Cloud computing platforms are getting more and more popular. But why is that? What unique advantages does a cloud computing architecture company in light of the current economic situation? And what is cloud computing anyway? So we investigate the cloud computing infrastructure and its impact on areas of critical importance for the IT sector, such as security, investment in infrastructure, the development of business applications, etc. Many IT departments are faced with the problem of having to spend a lot of your work time with frustrating implementations, maintenance complex and time-consuming updates that have all too often no positive effect on the bottom line of the company. Therefore, more and more IT teams choose to computing technology to work with the cloud to reduce the time that must be spent on activities with little equivalent. Therefore, the employees of the IT staff have more time to concentrate on strategic tasks that have greater impact on the business activities.  Cloud computing infrastructure  The fundamentals of cloud computing infrastructure have convinced the managers of IT departments of some of the world’s biggest companies. After initial skepticism, they have to switch to different cloud platforms to experience the fullness of the advantages of cloud computing technology itself.  The cloud computing technology can be much more easily and quickly integrate with your other business applications (both traditional and on the cloud computing infrastructure based software). It does not matter whether they are third-party solutions or in-house developed applications. Service availability of world-class cloud computing infrastructure can be much better able to scale, provide a complete disaster recovery and impressive uptime.  No hardware or software required   A 100% cloud computing infrastructure The unbeatable advantage of cloud computing technology lies in its simplicity and the fact that much less capital expenditure is required to obtain an operational system. Faster and less risky implementation with a cloud computing infrastructure you have at a fraction of the time required of an operational system. Months or years of waiting and investing millions before even one user can log in to the new solution, a thing of the past. Your web-based computing applications are available within a few weeks or months, even if extensive customisation or integration are made.  Support profound adaptations  Some IT experts mistakenly assumed that the cloud computing technology is difficult or almost not adjust fully and that it therefore is not a good choice for complex businesses. The cloud computing infrastructure not only allows deep customizations and configurations of applications, these adjustments are also maintained even during upgrades. But that’s not all: Web computing is ideally fitted for the maturation of applications to satisfy the evolving demands of your clientele.  Business users with more opportunities  The cloud computing technology enables business users point-and-click customization and builds reports on the fly, so that the IT department does not have to stop half of their working time with minor changes and the creation of reports.  Automatic updates without affecting the IT resources cloud computing infrastructures are the solution of a major IT problem: when upgrading to the current and most powerful version of the application must (not available) time and resources are spent to make adjustments and integrations again. In the cloud computing technology, you are not forced to choose between upgrading and maintaining all your invested work, because those customizations and integrations are automatically preserved during upgrades.  What are the benefits of eNlight cloud compting?  Cloud computing infrastructures and the Intelligent eNlight cloud platform from ESDS have convinced the CIOs of some of the world’s largest companies. This forward-thinking – but extremely attentive to safety ESDS cloud engineers have checked thoroughly and the value detected that offers cloud computing technology. eNlight offer a comprehensive, flexible platform. Whether it is the large organizations, small businesses or medium-sized companies, the needs of companies of all sizes are met.  eNlight minimizes the risks associated with the development of applications, and the implementation. Finally, technologies should help to solve business problems and not create new ones. The cloud computing infrastructure also brings significant savings in administrative costs that are 50 percent lower than those incurred in client / server-based software. Let in the following areas with the cloud computing concept save administrative costs; Our cloud allows administrators and business users to perform basic customizations themselves. Reports in real time. It is no wonder that so many CIOs structure their companies on the basis of the new cloud computing infrastructure – eNlight Intelligent cloud computing
    54 Posted by manohar parakh
  • The term “cloud” is all the rage. But what exactly does it mean?  Business applications are on the way to the cloud and the change is faster on than ever before: the shift from traditional software, and client-server models towards the Internet has gained in the last 10 years, resistant to momentum. A look into the future shows that cloud computing will bring in the next decade through mobile devices new opportunities for collaboration regardless of location.  Life before cloud computing  Traditional business applications have always been very complicated and expensive. The required amount and complexity of hardware and software to run business applications is overwhelming. To install, configure, test, run, secure, and updating this a whole team of experts is required. If these efforts, then apply for dozens or hundreds of applications, it rapidly becomes clear why the big companies do not always find the best IT departments the applications they require. Smaller and medium-sized enterprises as have little chance.  Cloud computing offers a better option  With cloud computing you rid yourself of these worries, because you manage any hardware or software. This responsibility is assigned to an experienced vendor like salesforce.com. The shared infrastructure corresponds to the offer of a utility: You only pay the required service updates automatically proceed and size changes in each direction are straightforward.  Cloud computing a better way  Cloud-based applications are deployed within days or weeks and they cost less. In a cloud application simply launch a browser, log in to fit the application, and start using the application. Companies carry applications from all areas in the Cloud from, for example, Customer Relationship Management (CRM), human resources, accounting and many more. Some of the world’s largest companies now run their applications in the cloud.  What is Cloud Computing? Cloud computing is vital and popular  In the technology industry, everyone is talking about it – and in the economic sector, many are asking the same question: “What is Cloud Computing and the importance of this technology for my business?”  Cloud computing platforms are getting more and more popular. But why is that? What unique advantages does a cloud computing architecture company in light of the current economic situation? And what is cloud computing anyway? So we investigate the cloud computing infrastructure and its impact on areas of critical importance for the IT sector, such as security, investment in infrastructure, the development of business applications, etc. Many IT departments are faced with the problem of having to spend a lot of your work time with frustrating implementations, maintenance complex and time-consuming updates that have all too often no positive effect on the bottom line of the company. Therefore, more and more IT teams choose to computing technology to work with the cloud to reduce the time that must be spent on activities with little equivalent. Therefore, the employees of the IT staff have more time to concentrate on strategic tasks that have greater impact on the business activities.  Cloud computing infrastructure  The fundamentals of cloud computing infrastructure have convinced the managers of IT departments of some of the world’s biggest companies. After initial skepticism, they have to switch to different cloud platforms to experience the fullness of the advantages of cloud computing technology itself.  The cloud computing technology can be much more easily and quickly integrate with your other business applications (both traditional and on the cloud computing infrastructure based software). It does not matter whether they are third-party solutions or in-house developed applications. Service availability of world-class cloud computing infrastructure can be much better able to scale, provide a complete disaster recovery and impressive uptime.  No hardware or software required   A 100% cloud computing infrastructure The unbeatable advantage of cloud computing technology lies in its simplicity and the fact that much less capital expenditure is required to obtain an operational system. Faster and less risky implementation with a cloud computing infrastructure you have at a fraction of the time required of an operational system. Months or years of waiting and investing millions before even one user can log in to the new solution, a thing of the past. Your web-based computing applications are available within a few weeks or months, even if extensive customisation or integration are made.  Support profound adaptations  Some IT experts mistakenly assumed that the cloud computing technology is difficult or almost not adjust fully and that it therefore is not a good choice for complex businesses. The cloud computing infrastructure not only allows deep customizations and configurations of applications, these adjustments are also maintained even during upgrades. But that’s not all: Web computing is ideally fitted for the maturation of applications to satisfy the evolving demands of your clientele.  Business users with more opportunities  The cloud computing technology enables business users point-and-click customization and builds reports on the fly, so that the IT department does not have to stop half of their working time with minor changes and the creation of reports.  Automatic updates without affecting the IT resources cloud computing infrastructures are the solution of a major IT problem: when upgrading to the current and most powerful version of the application must (not available) time and resources are spent to make adjustments and integrations again. In the cloud computing technology, you are not forced to choose between upgrading and maintaining all your invested work, because those customizations and integrations are automatically preserved during upgrades.  What are the benefits of eNlight cloud compting?  Cloud computing infrastructures and the Intelligent eNlight cloud platform from ESDS have convinced the CIOs of some of the world’s largest companies. This forward-thinking – but extremely attentive to safety ESDS cloud engineers have checked thoroughly and the value detected that offers cloud computing technology. eNlight offer a comprehensive, flexible platform. Whether it is the large organizations, small businesses or medium-sized companies, the needs of companies of all sizes are met.  eNlight minimizes the risks associated with the development of applications, and the implementation. Finally, technologies should help to solve business problems and not create new ones. The cloud computing infrastructure also brings significant savings in administrative costs that are 50 percent lower than those incurred in client / server-based software. Let in the following areas with the cloud computing concept save administrative costs; Our cloud allows administrators and business users to perform basic customizations themselves. Reports in real time. It is no wonder that so many CIOs structure their companies on the basis of the new cloud computing infrastructure – eNlight Intelligent cloud computing
    May 11, 2018 54
  • 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.
    330 Posted by manohar parakh
  • Introduction Businesses have always been dependent on the analytics they carry out to uncover insights and trends in their field to learn more out of the situation. The concept of Big Data analytics has been around for many decades helping entrepreneurs to dig into their data manually to find most useful patterns and shifts in the market. This concept has evolved throughout the years and the method to analyze big data has also changed. Big Data cannot be processed through any traditional application software because there are tools like Hadoop and platforms like cloud based technologies to mine large amounts of data. The analytics provide organizations with an efficient way to stay agile in their business. Importance of Big Data Analytics Big Data Analytics assists organizations to effectively utilize their data to identify new fields in their business to create opportunities which are nothing but a very smart business move. Data analytics automatically results in efficient operations, more profits and a happy customer base. Enterprises acquire significant cost advantages when we talk about storage because cloud-based analytics platform takes care of this particular issue. With Hadoop, which has in-memory analytics, organizations can take faster and better decisions because Hadoop has the ability to analyze various sources of data and then businesses are able to process this information immediately. New products and services can be produced with the help of analytics by studying the customer’s needs. More and more companies are now paying attention to these needs by creating services to satisfy the customer. How Big Data is shaping the education sector Schools, universities, colleges and educational bodies hold very large amounts of data related to students and faculty. This data can be analyzed to get insights that can improve operational effectiveness of the educational institutions. Student’s behavior, examination results and development of each student as well as the education needs based on the changing educational requirements, can be processed through statistical analysis. Big Data paves the way for revolutionary system where students will learn in exciting ways. Let us have a look at some of the fields in Education Sector which will be highly impacted due to Big Data: Students’ Results When big data is implemented in an education sector, the entire educational body reaps the benefits of this technology along with students and parents. Measuring a student’s academic performance is through exams and the results they produce.  Each student generates a unique data trail during his or her lifetime, which can be analyzed for better understanding of a student’s behavior to create the best possible learning environment. Big data analytics monitors student’s activity such as their favorite subjects, their classroom performance, curricular activity interests, time they take to finish an exam and many other things within a student’s educational environment. A report can be constructed which will indicate the interest areas of a student. Analytics of Educators Educators can reap maximum benefits of Big data analytics due to the processing of data-driven systems which can help institutions create many learning experiences according to a student’s learning capability, ability and preference. Multiple programs can be fostered which will encourage each individual to choose what they desire to learn and through this many reports can be generated in the life of a student and what they would like to do or be in the future. Educators can improve their teaching skills after receiving feedback for a better learning experience equally for all students. Career prediction Digging deep into a student’s performance report will help the responsible authority to understand a student’s progress and their strengths and weaknesses. The reports will suggest the areas in which a student is interested and he/she can further pursue a career in the same field. If a student is keen on learning a particular subject, then the choice should be appreciated and encouraged to follow what the student believes in. Conclusion Big Data analytics are present in each and every field and it provides with valuable information. It lets you do things which were never dreamed before. Important decisions can be made to improve the current scenario and it is only possible if you carry out predictive big data analytics.
    May 07, 2018 330
  • 04 May 2018
    Block chain and Internet of Things are two of the biggest buzzwords in the technology industry today. Each in its own sphere is set to revolutionize their respective industries with path-breaking applications and ease of use. According to Gartner, block chain technology will add $3.1 trillion in business value by 2030, and in another analysis the world IoT market is expected to grow from 2016 figure of $157B to $457B by 2020. Thus, the rapid advance in these technologies and their effect on our daily lives cannot be ignored. Block chain essentially means an encrypted ledger system which will allow formation of tamperproof and real-time records. Whereas, IoT is a term used to describe the constant spread of always-online, data-gathering devices into our professional and personal lives. According to many experts, their combination was inevitable and will further help escalate the value of each service individually and jointly. Let’s understand how… IoT & Keeping It Safe IoT is a disruptive technology which aims at connecting all electronic devices to make better decisions and take appropriate actions. Internet is the medium that is used to connect these devices which can belong to various industries like healthcare, building & lighting, energy & power, education, water & waste management, public safety, agriculture, entertainment, automotive, industrial, etc. After gathering data from these devices through sensors, the data is processed to be used as actionable insights to further improve the quality of living of people or to ease a certain process. However, a major concern with IoT devices has been the security paradigm related to it. The devices, if produced by MNCs, come with a suite of safety certifications that guarantee data leaks. However, many devices are produced locally in some countries with minimal adherence to authentication standards that keeps the data safe. Insecure IoT devices have already led to several cyber goof-ups like what happened with internet-routing organization Dyn in 2016. Thus, experts across the world are proposing the use of Block chain’s reliable and secure node-based architecture to make IoT more practical and trust-worthy. How will Block chain leverage IoT offerings Blockchain basically means recording and securing every transaction in the system. With billions of IoT devices crowding the cyberspace keeping a track of them and protecting the data they generate could be a cumbersome job that the block chain architecture can easily address as well as resolve. This data which can be used to make several mankind-altering decisions can also be manipulated and falsified by hackers due to lack of proper cyber security. The distributed ledger technology can help authenticate this data and in case of the minutest possible data breach, the blockchain record can help pinpoint the weak link of the chain and can help take remedial action. Blockchain also uses distributed storage and encryption to a large extent and for IoT this means data can be fully trusted and no possibility exists of oversight by humans. Due to the existence of a private key to enable write-access to the blockchain, nobody would be able to alter any record with improper information. Combining Blockchain and IoT will also help introduce the system of ‘Smart Contracts’ in the IoT way of life. Basically, ‘smart contracts’ are a digital protocol that enforce negotiation when certain conditions are met. Its present implementations are based on block chain and when combined with IoT devices it can help conduct better co-ordination and authorization in case of purchase demands. All these factors only point at better security of the IoT environment. A lot of data generated in the IoT environment is extremely personal including minute details of one’s life. This information needs to be shared via machines and other means so that it can be of some value. This also means that more are the chances for hackers to ambulate and further exploit these systems. Block chain here will add another layer of security to keep out attackers due to complicated encryption standards. Conclusion IoT is actually a thing of science fiction but is slowly gaining ground. However, all these individual devices and purpose cannot be served without some kind of orchestration technology. Blockchain will probably be fundamental to this factor where devices can seamlessly communicate with one another, verify each other’s identity and authenticity and conduct safe and secure transactions. A distributed ledge also removes the probability of system failure in IoT paradigm because its distributed nature eliminates single source issues. Moreover, block chain based IoT solutions can simplify business processes, are cost-efficient and can also enhance customer engagement. These solutions are totally secure and can be utilized by various industries. Companies all over the world are working on such path-breaking solutions. ESDS is one such company based out of India, US & UK that is contemplating on a great Smart City and other related solutions involving these two technological breakaways.
    327 Posted by manohar parakh
  • Block chain and Internet of Things are two of the biggest buzzwords in the technology industry today. Each in its own sphere is set to revolutionize their respective industries with path-breaking applications and ease of use. According to Gartner, block chain technology will add $3.1 trillion in business value by 2030, and in another analysis the world IoT market is expected to grow from 2016 figure of $157B to $457B by 2020. Thus, the rapid advance in these technologies and their effect on our daily lives cannot be ignored. Block chain essentially means an encrypted ledger system which will allow formation of tamperproof and real-time records. Whereas, IoT is a term used to describe the constant spread of always-online, data-gathering devices into our professional and personal lives. According to many experts, their combination was inevitable and will further help escalate the value of each service individually and jointly. Let’s understand how… IoT & Keeping It Safe IoT is a disruptive technology which aims at connecting all electronic devices to make better decisions and take appropriate actions. Internet is the medium that is used to connect these devices which can belong to various industries like healthcare, building & lighting, energy & power, education, water & waste management, public safety, agriculture, entertainment, automotive, industrial, etc. After gathering data from these devices through sensors, the data is processed to be used as actionable insights to further improve the quality of living of people or to ease a certain process. However, a major concern with IoT devices has been the security paradigm related to it. The devices, if produced by MNCs, come with a suite of safety certifications that guarantee data leaks. However, many devices are produced locally in some countries with minimal adherence to authentication standards that keeps the data safe. Insecure IoT devices have already led to several cyber goof-ups like what happened with internet-routing organization Dyn in 2016. Thus, experts across the world are proposing the use of Block chain’s reliable and secure node-based architecture to make IoT more practical and trust-worthy. How will Block chain leverage IoT offerings Blockchain basically means recording and securing every transaction in the system. With billions of IoT devices crowding the cyberspace keeping a track of them and protecting the data they generate could be a cumbersome job that the block chain architecture can easily address as well as resolve. This data which can be used to make several mankind-altering decisions can also be manipulated and falsified by hackers due to lack of proper cyber security. The distributed ledger technology can help authenticate this data and in case of the minutest possible data breach, the blockchain record can help pinpoint the weak link of the chain and can help take remedial action. Blockchain also uses distributed storage and encryption to a large extent and for IoT this means data can be fully trusted and no possibility exists of oversight by humans. Due to the existence of a private key to enable write-access to the blockchain, nobody would be able to alter any record with improper information. Combining Blockchain and IoT will also help introduce the system of ‘Smart Contracts’ in the IoT way of life. Basically, ‘smart contracts’ are a digital protocol that enforce negotiation when certain conditions are met. Its present implementations are based on block chain and when combined with IoT devices it can help conduct better co-ordination and authorization in case of purchase demands. All these factors only point at better security of the IoT environment. A lot of data generated in the IoT environment is extremely personal including minute details of one’s life. This information needs to be shared via machines and other means so that it can be of some value. This also means that more are the chances for hackers to ambulate and further exploit these systems. Block chain here will add another layer of security to keep out attackers due to complicated encryption standards. Conclusion IoT is actually a thing of science fiction but is slowly gaining ground. However, all these individual devices and purpose cannot be served without some kind of orchestration technology. Blockchain will probably be fundamental to this factor where devices can seamlessly communicate with one another, verify each other’s identity and authenticity and conduct safe and secure transactions. A distributed ledge also removes the probability of system failure in IoT paradigm because its distributed nature eliminates single source issues. Moreover, block chain based IoT solutions can simplify business processes, are cost-efficient and can also enhance customer engagement. These solutions are totally secure and can be utilized by various industries. Companies all over the world are working on such path-breaking solutions. ESDS is one such company based out of India, US & UK that is contemplating on a great Smart City and other related solutions involving these two technological breakaways.
    May 04, 2018 327
  • 27 Apr 2018
    Cloud isn’t for technology geeks anymore as by now, a majority of organizations have implemented cloud for improved efficiency in their business processes. A particular enterprise on cloud can reap many benefits as they are able to scale their resources whenever there are heavy business demands. Storage, which the cloud offers is such an easy feature which allows a user to store, retrieve and move their data seamlessly. Security on cloud is unmatched as compared to any other platforms. The simplicity of cloud is what makes it so easy to implement it in a business because it technically provides everything an admin might need to carry out his business functions smoothly. It is important to understand what newer technologies can be provided by cloud in the future because innovation doesn’t stop and there are always advancements and improvements when it comes to one particular technology. Cloud taps into the expertise of an enterprise to bring the best out of them. Cloud computing has come a long way, from being initially adopted for high efficiency and saving money, to emerging as a platform for the best of innovations. What the future holds for Cloud Computing? Almost everything is connected to the cloud one way or another - except if anything is specifically kept in a local storage for security purposes. There are many opportunities and capabilities in cloud computing. There are many predictions when it comes to the future of cloud computing as it can open doors for newer services, platforms, applications and much more. Innumerable possibilities pave the way for innumerable innovations. In the next decade, cloud computing will be an integral part of each human’s life because it will connect all the useable to a single platform. In this article we take a look at the next generation cloud technologies which will shape the cloud computing future and will provide a much evolved technology. Unikernels To say the least Unikernels are infrastructure virtualization space. It is an executable image which can be executed natively on a particular hypervisor without the help of a separate operating system. The image consists of an application code and operating systems functions which are necessary for the application. Unikernels are built up of library operating system which is nothing but collections of libraries which represent an operating system’s important capabilities. There have been various virtualizations in cloud computing and Unikernels is the latest hypervisor virtualization technology in the emerging containers concept. CaaS Container as a Service (CaaS) is an offering from cloud providers which provides container orchestration and compute resources. The framework can be used by the developers through API or a web interface for easy management of container. One can say that CaaS is a new layer for cloud platform for application deployment. This point towards the tools which are aimed at relaxing stress between the operations staff and the development team when it is about pushing application content and monitoring application. Server less Architecture The cloud has led to shutting down datacenters because CIOs believe in the services provided by cloud computing and how it has been a boon for their business. IT heads rent a mix of tools from a couple of vendors when they need extra processing power or storage. IT leaders are searching for a more cost efficient way to rent computing power and rather than managing a cloud architecture, they now wish to go server less. Cloud is now being used just to fuel applications and other functions with server less computing now in the picture. Only when resources need to be provisioned, the cloud is called upon to do this job. Internet of Things (IoT) can be a good example of such event based computing. Software Defined Networking (SDN) Software-defined networking is rapidly becoming a key component in data centers for automation. Software-defined networking provides efficient ways to manage virtualization saves cost and offers speedy service delivery. It gives data center managers the control to manage each and every aspect of a data center which results in higher agility to manage and upgrade their hardware. Modern data centers have become too complex to be managed by assigned personnel and thus, it is important to use an automation tool. It helps enterprises to enhance their security by minimizing vulnerabilities caused by humans. Conclusion Cloud computing has a bright future as it holds many technological breakthroughs and newer innovations. Technology which is implemented in the market today probably won’t be kindred tomorrow. The constant change which only leads to better upgradations will help many organizations reach their potential and achieve their desired targets. The cloud will bring much more benefits to businesses that one is able to imagine now.
    62 Posted by manohar parakh
  • Cloud isn’t for technology geeks anymore as by now, a majority of organizations have implemented cloud for improved efficiency in their business processes. A particular enterprise on cloud can reap many benefits as they are able to scale their resources whenever there are heavy business demands. Storage, which the cloud offers is such an easy feature which allows a user to store, retrieve and move their data seamlessly. Security on cloud is unmatched as compared to any other platforms. The simplicity of cloud is what makes it so easy to implement it in a business because it technically provides everything an admin might need to carry out his business functions smoothly. It is important to understand what newer technologies can be provided by cloud in the future because innovation doesn’t stop and there are always advancements and improvements when it comes to one particular technology. Cloud taps into the expertise of an enterprise to bring the best out of them. Cloud computing has come a long way, from being initially adopted for high efficiency and saving money, to emerging as a platform for the best of innovations. What the future holds for Cloud Computing? Almost everything is connected to the cloud one way or another - except if anything is specifically kept in a local storage for security purposes. There are many opportunities and capabilities in cloud computing. There are many predictions when it comes to the future of cloud computing as it can open doors for newer services, platforms, applications and much more. Innumerable possibilities pave the way for innumerable innovations. In the next decade, cloud computing will be an integral part of each human’s life because it will connect all the useable to a single platform. In this article we take a look at the next generation cloud technologies which will shape the cloud computing future and will provide a much evolved technology. Unikernels To say the least Unikernels are infrastructure virtualization space. It is an executable image which can be executed natively on a particular hypervisor without the help of a separate operating system. The image consists of an application code and operating systems functions which are necessary for the application. Unikernels are built up of library operating system which is nothing but collections of libraries which represent an operating system’s important capabilities. There have been various virtualizations in cloud computing and Unikernels is the latest hypervisor virtualization technology in the emerging containers concept. CaaS Container as a Service (CaaS) is an offering from cloud providers which provides container orchestration and compute resources. The framework can be used by the developers through API or a web interface for easy management of container. One can say that CaaS is a new layer for cloud platform for application deployment. This point towards the tools which are aimed at relaxing stress between the operations staff and the development team when it is about pushing application content and monitoring application. Server less Architecture The cloud has led to shutting down datacenters because CIOs believe in the services provided by cloud computing and how it has been a boon for their business. IT heads rent a mix of tools from a couple of vendors when they need extra processing power or storage. IT leaders are searching for a more cost efficient way to rent computing power and rather than managing a cloud architecture, they now wish to go server less. Cloud is now being used just to fuel applications and other functions with server less computing now in the picture. Only when resources need to be provisioned, the cloud is called upon to do this job. Internet of Things (IoT) can be a good example of such event based computing. Software Defined Networking (SDN) Software-defined networking is rapidly becoming a key component in data centers for automation. Software-defined networking provides efficient ways to manage virtualization saves cost and offers speedy service delivery. It gives data center managers the control to manage each and every aspect of a data center which results in higher agility to manage and upgrade their hardware. Modern data centers have become too complex to be managed by assigned personnel and thus, it is important to use an automation tool. It helps enterprises to enhance their security by minimizing vulnerabilities caused by humans. Conclusion Cloud computing has a bright future as it holds many technological breakthroughs and newer innovations. Technology which is implemented in the market today probably won’t be kindred tomorrow. The constant change which only leads to better upgradations will help many organizations reach their potential and achieve their desired targets. The cloud will bring much more benefits to businesses that one is able to imagine now.
    Apr 27, 2018 62
  • 26 Apr 2018
    Don't you feel almost all technological facilities are related to cloud these days? Guess what these services also include, the robotic technology. The day is not far when RaaS will turn out to be a multi-million-dollar industry. The global expenditure of robotics and robot related services will reach around $135.4 bn by 2019 which was $71 billion in 2015, according to an International Data Corporation report. John Santagate, research manager at International Data Corporation Manufacturing said, "With the rise in investment in AI development Robotic capabilities will keep on rising with the driving competition in order to bring cut the expenditure related to AI technology”.   According to a report titled 'Global Robotics Technology Market, 2013-2020 ‘, the universal robotics technology market is likely to reach up to $82.7bn by the 2020, recorded a CAGR of 10.11% during 2014-2020. The key factor that drives the robotic industry is the growing need for reduced labor costs of most established nations and the increasing instances of supported living style. More and more enterprises have started to enter the industry hoping to evolve and refine automation techniques and customer services.   Service robots provide a benefit by taking up industry-related tasks that are usually challenging and seem risky. Various everyday jobs are taken over by robots that are difficult and require much more human effort. Robots ensure and offer a higher level of accuracy and precision. The major sectors to use the Robotics and AI technology is Factories and manufacturing sectors, that develop merchandises on the methods of medications have been benefited from the accuracy that AI tech has offered.   Talking about the ever-increasing consumer world, a lot of cloud based enterprises like ESDS has / had started building chat bots that can be used in customer service processes in order to provide assistance to consumers in making correct use of products and helping them save a lot in the bargain. Industrial application of bots not only helps reduce cost, but it also initiates major transformations to take place for a better customer experience.   It has been proved that AI enabled RaaS is a boon to various verticals of manufacturing industry which includes manufacturing sector that requires hefty functional tasks in data storehouses. The RaaS model is now becoming a commonplace in the Agro sector. Agricultural robots and drones are used in a variety of tasks and they are expected to US $12 bn in next 5 years to come.   Talking about the healthcare industry, bots are able to perform tedious operations, they can interact with patients also check status of their health and suggest further appointments. Grouping of Artificial Intelligence and bot technology has surprised everyone already with the evolution of a bot called Sophia. All the data that is been taken by robots in different verticals and service sectors can be stored in cloud. Data analytics can be performed on the stored data and this enables businesses to increase productivity at a lower cost. It also helps build a smart enterprise link that let teams to focus only on their business related tasks.   A report by International Data Corporation stated that 30% of robotic applications which is based on commercial services will be in the form of a RaaS enterprise model, by 2019. This would definitely help reduce costs of robot deployment. The same report further predicts that more than 55% of robots will depend on cloud-based applications in order to define AI potentials and related applications, which will eventually lead to the formation of a AI based cloud market by around 2020.   The advent of the RaaS technology denotes a massive change in the service-based models in the technology sector. These models have a fast growth capability for adoption and offer an attractive value proposition to different industries and businesses. RaaS has the capability to develop new and improved enterprises prototypes.   A lot of RaaS providing industries like ESDS software solution Pvt. Ltd. can support and provide 24*7 support with incorporation of Artificial Intelligence technology and storage facilities used within industries. This helps cost cutting and also makes scaling of resources feasible with greater flexibility. With the rise in AI technology robots are more likely to get incorporated on cloud technology in a rapidly growing digital environment meant to craft an intelligent enterprise environment.
    195 Posted by manohar parakh
  • Don't you feel almost all technological facilities are related to cloud these days? Guess what these services also include, the robotic technology. The day is not far when RaaS will turn out to be a multi-million-dollar industry. The global expenditure of robotics and robot related services will reach around $135.4 bn by 2019 which was $71 billion in 2015, according to an International Data Corporation report. John Santagate, research manager at International Data Corporation Manufacturing said, "With the rise in investment in AI development Robotic capabilities will keep on rising with the driving competition in order to bring cut the expenditure related to AI technology”.   According to a report titled 'Global Robotics Technology Market, 2013-2020 ‘, the universal robotics technology market is likely to reach up to $82.7bn by the 2020, recorded a CAGR of 10.11% during 2014-2020. The key factor that drives the robotic industry is the growing need for reduced labor costs of most established nations and the increasing instances of supported living style. More and more enterprises have started to enter the industry hoping to evolve and refine automation techniques and customer services.   Service robots provide a benefit by taking up industry-related tasks that are usually challenging and seem risky. Various everyday jobs are taken over by robots that are difficult and require much more human effort. Robots ensure and offer a higher level of accuracy and precision. The major sectors to use the Robotics and AI technology is Factories and manufacturing sectors, that develop merchandises on the methods of medications have been benefited from the accuracy that AI tech has offered.   Talking about the ever-increasing consumer world, a lot of cloud based enterprises like ESDS has / had started building chat bots that can be used in customer service processes in order to provide assistance to consumers in making correct use of products and helping them save a lot in the bargain. Industrial application of bots not only helps reduce cost, but it also initiates major transformations to take place for a better customer experience.   It has been proved that AI enabled RaaS is a boon to various verticals of manufacturing industry which includes manufacturing sector that requires hefty functional tasks in data storehouses. The RaaS model is now becoming a commonplace in the Agro sector. Agricultural robots and drones are used in a variety of tasks and they are expected to US $12 bn in next 5 years to come.   Talking about the healthcare industry, bots are able to perform tedious operations, they can interact with patients also check status of their health and suggest further appointments. Grouping of Artificial Intelligence and bot technology has surprised everyone already with the evolution of a bot called Sophia. All the data that is been taken by robots in different verticals and service sectors can be stored in cloud. Data analytics can be performed on the stored data and this enables businesses to increase productivity at a lower cost. It also helps build a smart enterprise link that let teams to focus only on their business related tasks.   A report by International Data Corporation stated that 30% of robotic applications which is based on commercial services will be in the form of a RaaS enterprise model, by 2019. This would definitely help reduce costs of robot deployment. The same report further predicts that more than 55% of robots will depend on cloud-based applications in order to define AI potentials and related applications, which will eventually lead to the formation of a AI based cloud market by around 2020.   The advent of the RaaS technology denotes a massive change in the service-based models in the technology sector. These models have a fast growth capability for adoption and offer an attractive value proposition to different industries and businesses. RaaS has the capability to develop new and improved enterprises prototypes.   A lot of RaaS providing industries like ESDS software solution Pvt. Ltd. can support and provide 24*7 support with incorporation of Artificial Intelligence technology and storage facilities used within industries. This helps cost cutting and also makes scaling of resources feasible with greater flexibility. With the rise in AI technology robots are more likely to get incorporated on cloud technology in a rapidly growing digital environment meant to craft an intelligent enterprise environment.
    Apr 26, 2018 195
  • 23 Apr 2018
    Big Data is basically sets of data which are large in volume and cannot be processed through some traditional application software. The term big data is not new as it has been around since a long time and there has been many concepts related to the term. Even if the concept is not new in the industry, there is a lot of confusion revolving the true meaning of what big data actually is. When you work on a particular principle and start collecting knowledge on the similar, you start generating data which will be useful for you in the future to analyze the data and get further insights. Before computers and the rise of internet, the transactions were recorded on paper and archive files which were fundamentally data. Today computers allow us to save whatever data we have on spreadsheets and organize them in the most efficient way. Since the emergence of cloud computing, it has offered the best technology with a wide range of applications for various purposes in the most cost effective way. It is almost like a match made in heaven for big data and cloud computing because there is a lot of data and only cloud computing can provide that kind of compute power to process the data. Whatever we do almost leaves a digital trail as we generate data whenever we are on the internet. As cloud computing is transforming IT, huge amount of compute power is needed with the help of internet to store and analyze this data. Cloud computing has brought such a change that it has reshaped the way computers are being used to process data. Cloud has made it very simple for data storage in comparison with traditional data storage. Cloud computing provides scalable resources on demand and it has changed the way data is stored and processed. This is a powerful approach to analyze data provided by cloud computing and has become vital in the growth of big data in multiple industries. The full potential of what cloud computing can offer is not yet been realized due to lack of expertise and thus many enterprises fail to realize what can be achieved through cloud computing. Due to not implementing ‘Big Data’ in businesses in the way it should be, organizations are not growing because of not analyzing the data available to them. Combination of big data and cloud computing will help organizations in business analytics and will also improve their decision making in important parts of the business. The world can benefit from this combo and can have huge analytics advantage to generate information which is ideal for business continuity. Let’s take a look at the opportunities organizations can achieve by combining big data and cloud computing: Agility The traditional systems have proved to be slower since storing data and managing it is time consuming and is a tedious process. Since the adoption of cloud by organizations, it has been providing all the resources to run multiple virtual servers in cloud database seamlessly within matter of minutes. Affordability Organizations have a budget when they wish to switch to a particular technology and in this case, cloud is a blessing which is a top technology under a budget. Companies can choose the services they want according to their business and budget requirements. Applications and resources which are needed to manage big data don’t cost much and can be implemented by enterprises. Only pay for the amount of storage space you use and no additional charges will be incurred. Data processing Apache Hadoop is a big data analytics platform which processes structured and unstructured data. Social media alone generates a lot of data from blogs, posts, videos and photos which is difficult to analyze under a single category. Cloud takes care of the rest by making the whole process easy and accessible to any enterprise. Feasibility Traditional solutions require extra physical servers in the cluster for maximum processing power and storage space but the virtual nature of the cloud allows to allocate resources on demand. Scaling is a great option to get the desired processing power and storage space whenever required. Big data requires high data processing platform for analytics and there can be variations in demand which would be satisfied by only the cloud environment. Challenges to Big Data in the Cloud environment Big Data generates huge amounts of data and it is complicated to manage this amount of data on a traditional system. It is also difficult to analyze this data on the cloud platform to extract only the important bits. While moving large sets of data, there is often sensitive information like credit and debit card details/ addresses which is a major security concern. Businesses face high security concerns when they have their data on cloud. Attackers seem to come up with new ways to breach into the system which dents a company’s reputation and leads to cloud abuse. Replication of data is vital in case of an event where there are chances of losing data. Analysis of data is not possible in such case. Conclusion Big Data and Cloud Computing is a fit combination which allows processing of huge amounts of data on a platform which is scalable and will meet the resources needed to analyze data. Obviously there are opportunities and challenges when it comes these 2 technologies but isn’t that a part of the IT field?
    138 Posted by manohar parakh
  • Big Data is basically sets of data which are large in volume and cannot be processed through some traditional application software. The term big data is not new as it has been around since a long time and there has been many concepts related to the term. Even if the concept is not new in the industry, there is a lot of confusion revolving the true meaning of what big data actually is. When you work on a particular principle and start collecting knowledge on the similar, you start generating data which will be useful for you in the future to analyze the data and get further insights. Before computers and the rise of internet, the transactions were recorded on paper and archive files which were fundamentally data. Today computers allow us to save whatever data we have on spreadsheets and organize them in the most efficient way. Since the emergence of cloud computing, it has offered the best technology with a wide range of applications for various purposes in the most cost effective way. It is almost like a match made in heaven for big data and cloud computing because there is a lot of data and only cloud computing can provide that kind of compute power to process the data. Whatever we do almost leaves a digital trail as we generate data whenever we are on the internet. As cloud computing is transforming IT, huge amount of compute power is needed with the help of internet to store and analyze this data. Cloud computing has brought such a change that it has reshaped the way computers are being used to process data. Cloud has made it very simple for data storage in comparison with traditional data storage. Cloud computing provides scalable resources on demand and it has changed the way data is stored and processed. This is a powerful approach to analyze data provided by cloud computing and has become vital in the growth of big data in multiple industries. The full potential of what cloud computing can offer is not yet been realized due to lack of expertise and thus many enterprises fail to realize what can be achieved through cloud computing. Due to not implementing ‘Big Data’ in businesses in the way it should be, organizations are not growing because of not analyzing the data available to them. Combination of big data and cloud computing will help organizations in business analytics and will also improve their decision making in important parts of the business. The world can benefit from this combo and can have huge analytics advantage to generate information which is ideal for business continuity. Let’s take a look at the opportunities organizations can achieve by combining big data and cloud computing: Agility The traditional systems have proved to be slower since storing data and managing it is time consuming and is a tedious process. Since the adoption of cloud by organizations, it has been providing all the resources to run multiple virtual servers in cloud database seamlessly within matter of minutes. Affordability Organizations have a budget when they wish to switch to a particular technology and in this case, cloud is a blessing which is a top technology under a budget. Companies can choose the services they want according to their business and budget requirements. Applications and resources which are needed to manage big data don’t cost much and can be implemented by enterprises. Only pay for the amount of storage space you use and no additional charges will be incurred. Data processing Apache Hadoop is a big data analytics platform which processes structured and unstructured data. Social media alone generates a lot of data from blogs, posts, videos and photos which is difficult to analyze under a single category. Cloud takes care of the rest by making the whole process easy and accessible to any enterprise. Feasibility Traditional solutions require extra physical servers in the cluster for maximum processing power and storage space but the virtual nature of the cloud allows to allocate resources on demand. Scaling is a great option to get the desired processing power and storage space whenever required. Big data requires high data processing platform for analytics and there can be variations in demand which would be satisfied by only the cloud environment. Challenges to Big Data in the Cloud environment Big Data generates huge amounts of data and it is complicated to manage this amount of data on a traditional system. It is also difficult to analyze this data on the cloud platform to extract only the important bits. While moving large sets of data, there is often sensitive information like credit and debit card details/ addresses which is a major security concern. Businesses face high security concerns when they have their data on cloud. Attackers seem to come up with new ways to breach into the system which dents a company’s reputation and leads to cloud abuse. Replication of data is vital in case of an event where there are chances of losing data. Analysis of data is not possible in such case. Conclusion Big Data and Cloud Computing is a fit combination which allows processing of huge amounts of data on a platform which is scalable and will meet the resources needed to analyze data. Obviously there are opportunities and challenges when it comes these 2 technologies but isn’t that a part of the IT field?
    Apr 23, 2018 138
  • 17 Apr 2018
    Ever heard of Server less computing? If you haven’t you should know that it is the new buzz word in IT. The term ‘Server less Computing’ speaks about a form of deployment where the server is abstracted away. This does not mean that there are no servers, it’s just that you don’t have to provision the servers by yourself. It’s a modern way of hosting applications and services on infrastructure which is not managed by the end users. In server less computing, resources are provisioned on cloud only when a specific event occurs. Resources are no longer assigned only to stay idle until called upon. In some cases, server less infra can free your business from the overheads of maintaining infra, upgrades and provisioning servers.Time spent in configuring the cloud infrastructure for scalability is also reduced as server less computing promises faster delivery and highly-reliable software solutions. Serverless computing is a form of cloud computing, but in this case the Cloud Services Provider manages the provisioning of resources on run time basis rather than planning storage capacity in advance, and consumers just have to pay for what they use instead of buying blocks of storage in advance. It is much more granular, and thus more cost-effective as compared to the traditional cloud module. Applications may seem to be 'serverless' as server management, maintenance as well as capacity planning are completely hidden from the end users. The normalization of server less computing is a major hop towards spreading the capability to perform complex tasks without the need of expensive hardware. brands going from atlas Sian to vogue have made the jump to server less figuring, according to a presentation named ‘The State of Server less Computing’ by AWS.Let’s see what server less computing means on a technical level? It’s a process where developers can assemble services from small functions, these functions are building blocks of code. The small code blocks can be executed in response to particular request call using HTTPS/HTTP. These functions are sometimes-infrequent app components, triggered when needed by catalysts. This data is stored in a distinct environment that synchronizes with the active production environment.Why is Server less computing essential as a paradigm?Serverless computing is an evolution of the micro services approach to architecting applications and software’s. The idea behind this is to let the CSPs manage the fundamental compute infra and let developers focus only on the functionality that needs to be delivered. Here are some advantages:•    Ideal for event-driven scenarios:  The traditional auto-scaling feature can have critical warm-up times for clusters and scaling, both during up-scaling and down-scaling and it is also possible that it may not be in continuation. Serverless is a perfect computing model when it comes to execution of small blocks of code aka functions as they turn out to be the response to event triggers and you pay only for the fractional resource times that you actually consumed. Thus, saving a lot of expenses. Server less computing is optimal for event-driven architectures for example the IoT scenarios.•    Assemble low-cost micro services architecture: By going server less, a lot of cloud computing functions can be executed simultaneously. These functions are independent of each other in response to the event mirroring concurrently in the execution. The smaller blocks of code set up in server less computing are easy to manage and the testing becomes easy too. The various functions in the cloud environment can themselves expose clean, Representational State Transfer (RESTful) interfaces to work with more such functions of an app. Software developers can swiftly put together an architecture mirroring micro services by deploying several cloud functions that work together. Most leading platform developers are implementing this strategy to deploy software in a cost-effective way.Despite these advantages, there are some limitations in the server less environment. A restriction on the size of code is found and which when deployed supports only a few programming languages. Typical code blocks and monolithic i.e. single-tiered software application architectures, should also be avoided. Another limitation being that developers should be highly disciplined in the way they are using server less computing.Big savings with Serverless infraServer less paradigm helps cut on a lot of cost. About 60 per cent cost saving is achieved along with considerably lower administrative efforts. This calculation is based on an e-Commerce app using Lambda by Amazon Web Services which is a FaaS model, versus hosting the app on Amazon Elastic Compute Cloud (EC2) by Amazon Web Service and instances in a high availability architecture were calculated on hourly basis. Serverless computing is all set to rise as interest and adoption grow. Various tools to manage multiple kinds of functions and compound service incorporations are evolving using server less computing. Serverless frameworks along with commercial pre-packaged functions, are becoming popular, players like ESDS, Google, AWS and others will continue to rule the market in the future.
    58 Posted by manohar parakh
  • Ever heard of Server less computing? If you haven’t you should know that it is the new buzz word in IT. The term ‘Server less Computing’ speaks about a form of deployment where the server is abstracted away. This does not mean that there are no servers, it’s just that you don’t have to provision the servers by yourself. It’s a modern way of hosting applications and services on infrastructure which is not managed by the end users. In server less computing, resources are provisioned on cloud only when a specific event occurs. Resources are no longer assigned only to stay idle until called upon. In some cases, server less infra can free your business from the overheads of maintaining infra, upgrades and provisioning servers.Time spent in configuring the cloud infrastructure for scalability is also reduced as server less computing promises faster delivery and highly-reliable software solutions. Serverless computing is a form of cloud computing, but in this case the Cloud Services Provider manages the provisioning of resources on run time basis rather than planning storage capacity in advance, and consumers just have to pay for what they use instead of buying blocks of storage in advance. It is much more granular, and thus more cost-effective as compared to the traditional cloud module. Applications may seem to be 'serverless' as server management, maintenance as well as capacity planning are completely hidden from the end users. The normalization of server less computing is a major hop towards spreading the capability to perform complex tasks without the need of expensive hardware. brands going from atlas Sian to vogue have made the jump to server less figuring, according to a presentation named ‘The State of Server less Computing’ by AWS.Let’s see what server less computing means on a technical level? It’s a process where developers can assemble services from small functions, these functions are building blocks of code. The small code blocks can be executed in response to particular request call using HTTPS/HTTP. These functions are sometimes-infrequent app components, triggered when needed by catalysts. This data is stored in a distinct environment that synchronizes with the active production environment.Why is Server less computing essential as a paradigm?Serverless computing is an evolution of the micro services approach to architecting applications and software’s. The idea behind this is to let the CSPs manage the fundamental compute infra and let developers focus only on the functionality that needs to be delivered. Here are some advantages:•    Ideal for event-driven scenarios:  The traditional auto-scaling feature can have critical warm-up times for clusters and scaling, both during up-scaling and down-scaling and it is also possible that it may not be in continuation. Serverless is a perfect computing model when it comes to execution of small blocks of code aka functions as they turn out to be the response to event triggers and you pay only for the fractional resource times that you actually consumed. Thus, saving a lot of expenses. Server less computing is optimal for event-driven architectures for example the IoT scenarios.•    Assemble low-cost micro services architecture: By going server less, a lot of cloud computing functions can be executed simultaneously. These functions are independent of each other in response to the event mirroring concurrently in the execution. The smaller blocks of code set up in server less computing are easy to manage and the testing becomes easy too. The various functions in the cloud environment can themselves expose clean, Representational State Transfer (RESTful) interfaces to work with more such functions of an app. Software developers can swiftly put together an architecture mirroring micro services by deploying several cloud functions that work together. Most leading platform developers are implementing this strategy to deploy software in a cost-effective way.Despite these advantages, there are some limitations in the server less environment. A restriction on the size of code is found and which when deployed supports only a few programming languages. Typical code blocks and monolithic i.e. single-tiered software application architectures, should also be avoided. Another limitation being that developers should be highly disciplined in the way they are using server less computing.Big savings with Serverless infraServer less paradigm helps cut on a lot of cost. About 60 per cent cost saving is achieved along with considerably lower administrative efforts. This calculation is based on an e-Commerce app using Lambda by Amazon Web Services which is a FaaS model, versus hosting the app on Amazon Elastic Compute Cloud (EC2) by Amazon Web Service and instances in a high availability architecture were calculated on hourly basis. Serverless computing is all set to rise as interest and adoption grow. Various tools to manage multiple kinds of functions and compound service incorporations are evolving using server less computing. Serverless frameworks along with commercial pre-packaged functions, are becoming popular, players like ESDS, Google, AWS and others will continue to rule the market in the future.
    Apr 17, 2018 58
  • 17 Apr 2018
    What is Open Source? The term open source is a philosophy; it is an attitude that is driving people all around the world. Basically open source with respect to software means that you develop a software and make it freely available to the general public under any of the free licenses. People now can access its source, modify and re-distribute it, but while complying with the free license under which the original software was licensed. According to OpenSource.org, “Open source software is software that can be used freely, changed, and shared (in modified or unmodified form) by anyone. Open source software is made by many people, and distributed under licenses that comply with the open source definition.” By open sourcing a software, different people contribute to it and improve the software. Different people come together and collaborate to develop one good software. Open Source Software (OSS) has been around for a while now. We have been using such software from years. GNU/Linux Kernel based operating systems like Ubuntu, Fedora, RHEL, Linux Mint are a good example. Also the operating system on Android phones is Linux based. OSS from business perspective works similar to all other proprietary software's, but the difference is that users do not have to pay for them. However, the important difference here is that the user is effectively a co-developer, who can suggest different improvements in the software, or help fix bugs in the software or even get into the source code and modify it according to his/her needs which might make it even more better and then share it with others. Developing a software and giving it for free isn't open source. Richard Stallman, the software freedom activist and founder of GNU, quotes “When we call software ’free’, we mean that it respects the users' essential freedoms like the freedom to run it, change it and to redistribute copies with or without changes.” This is a matter of freedom not price, so think of ’free speech’ not ‘free beer’. These freedoms are vitally important. They are essential, not just for the individual users' sake, but for society as a whole because they promote social solidarity – that is, sharing and cooperation. Thus open source software must not be interpreted as “Free Software”, because there is a lot of difference between software which you can get for zero price, and a software which gives you the freedom to use it the way you want. You cannot look into the source code of a free software (zero priced software or a pirated software which is distributed freely), but you have access to the source code of an open source software. Well open sourcing a software has its own advantages. From a user’s perspective, the but obvious advantage is the software being freely available. A developer or programmer will be more than happy to get access of the source code, and do whatever he wants. Whereas on the other hand a software vendor, can cut off its annual software maintenance costs by open sourcing their software. Another great advantage is that, the software continuously evolves as more and more developers contribute to the software, add to it and modify it. This makes the software better, secure, bug free, as compared to proprietary software's. The best example is Linux kernel. The rate of development of Linux kernel is unmatched, these are the recent stats publicly announced by LinuxFoundation.org – “Nearly 12,000 developers from more than 1,200 companies have contributed to the Linux kernel since tracking began 10 years ago. The recent report said more than 4,000 developers from 200 companies have contributed to the kernel, half of whom contributed for the first time. The average number of changes accepted into the kernel per hour is 7.71, which translates to 185 changes every day and nearly 1,300 per week.” Today big players like Google, Facebook, Intel, Samsung, Red Hat, Canonical, Cisco, Yahoo etc. are promoting and contributing in open source activities. Need of open source! It all started with the frustration of not being able to tweak the software that were used. In early 1980s Richard Stallman, a computer programmer and hacker with a bunch of other guys were not allowed to modify the code of a newly installed laser printed at AI Labs where they used to work. Stallman had modified the source code of the lab's previously installed printer which used to send electronic notification to the user when the printing job used to get completed. Stallman wanted to add the same functionality to the newly installed printer but was refused to do so. This and few other similar events triggered the birth of open source software. Today in this rapidly developing digital era, open source software has an important role. Here are few well-known open source software's, and first of all the obvious and biggest open source project is the Linux Kernel, the well-known internet browser Mozilla, Apache web server that powers most of the world's websites, OpenSSL the project that keeps the internet secure and which is used by most of the organizations and government organization, GnuPG (GNU Privacy Guard) which is an encryption software used in most of the organizations for securing mails and files. Network Time Protocol (NTP) which synchronizes the time of all machines over the internet. The very well-known and widely used cloud software OpenStack is an open source software. These are just a few examples, the list goes on and on and on! Organizations like Linux Foundation which supports the development of Linux kernel as well as other open source projects, Apache Software Foundation which backs the development of Apache web server software used by most of the websites, etc. are few examples that prove the success and widespread of open source, its ideology and the software's that are making life easier and better. The point is people quickly adopt and collaborate to open source software's. Just because it gives them the freedom to freely use the software the way they want, modify it accordingly to their needs, help fix issues which benefits them as well as the community that is built around it. And most importantly the philosophy of open source is deeply rooted into people as they wish to collaborate and help build a better software. As previously stated, Linux kernel is the best example of an open source software. The success of the project is in the way it is developed and maintained by the community. Approximately every two months we have a new release of the Linux kernel. The reason is Linux kernel is being used in palm sized Raspberry Pi computers to super computers that are used in space stations, from cars to submarines that dive deep into the sea and the reason is just because it supports such a wide range of hardware. And it is because people from around the world collaborate and add patches to the Linux kernel which makes it support such hardware. Now that is the indirect outcome of “open source”. If Linus Torvalds, creator of Linux would have thought of keeping his project to himself then he would have ended up founding another Microsoft, and the world as it is now would have never been the same! The Future is Open! How does open source work? You find an open source software useful and start using it. Then you stumble across a bug, you would like to add a feature, you get in contact with the team. Then you submit the issue to a bug tracker, if you found one. f the team likes your idea then they themselves might ask you to write a patch for it. In most of the cases if it is easy, then you can yourself modify the code, do some tests and submit the patch. If the team accepts the patch and apply it then you are happy and your contribution makes the software even better. That was about contributing to the software that you use. What if you created an amazing software and now you want to go open source, again it is simple? You create a zip of your code and publish it on one of the open source software hosting sites like, github.com sourceforge.net, Once your project is published people will through it, and start collaborating. Well, the development of open source software happens collaboratively. Who are building products on top of pen source? The answer is, almost everyone! The tech giant, Google has contributed over 20 million lines of code from over 900 open source projects. The best example is Android – which is a software stack for mobile devices that is based on Linux. Chromium – web browser, Ganeti – cluster virtual server management software, Gerrit – web based code review system, Go – programming language, and many more. But Google isn't the only one, rival Facebook is also in the race. Even Facebook has a wide range of open source projects that span from Android to iOS, from the web to backend servers. Buck – is a build system for Android that helps in building reusable modules, Bolts – are few libraries for android and iOS that help building apps easier, react – is a JavaScript based library Flux – is an application architecture which are used for building web interfaces, Presto – is a distributed SQL query engine, HHVM – is a virtual machine designed to execute PHP programs with 5x increased throughput. Other big players like Red Hat, Intel and Canonical are also not lagging behind. Red Hat’s community driven Linux based operating systems CentOS and Fedora are very popular. Red Hat also has its own community driven version of OpenStack RDO and Jboss Developer which is an open source application server. Intel also has a big share in the open source world. One of them is Intel's Yocto Project- an initiative in developing shared development environment and tools for embedded developers. Ubuntu, the world’s most popular and widely used operating system is developed by Canonical. Canonical also has been developing wide range of open source software's, like Juju – which is a service orchestration tool for management and installation of cloud applications. Metal as a Service (MAAS) is another innovative project that helps to manage physical servers and cloud. Believe me, this article won’t be enough if we decide to list down all the open source projects that are currently being developed out there! India, being the world’s largest out sourcing destination also has companies that are keen in open source development. The best example is ESDS Software Solution (esds.co.in). Here at ESDS we foster the ideology of open source. We constantly encourage our colleagues to innovate and contribute to the open source community in every way that is possible. Our products eNlight™, eMagic and MtvScan are based on open source technologies. eNlight™ is an Intelligent and Highly scalable cloud orchestration software that has open source in its roots. eNlight™ has the capability to manage virtual machines running on different hypervisors like XenServer, Hyper-V. Unlike other cloud management software's, the scaling service of eNlight™ intelligently scales the resources of a virtual machine on the go, which reduces the cost to a large extent. One very unique feature eNlight™ is Pay per Consume i.e. you have to pay for CPU, RAM, and Bandwidth only when the VM uses it! This feature cuts down the expenses and is very unique to eNlight™. Different businesses have different needs, and thus every business needs a different and customizable cloud solution that perfectly satisfies it's needs and here comes eNlight™ into picture with its dynamic resource provisioning and scheduling. eNlight™ can also be deployed as a private cloud solution which supports wide range of hypervisors like, VMware, KVM, Xen Libvirt including XenServer and Hyper-V. eMagic is another innovative, in house developed data center management software, that simplifies and makes it easy to monitor and manage all the servers and resources in the data center. It is basically a web based system that is widely used for IT asset management, device deployment, and comprehensive server monitoring and network management in datacenters spread across different geo-locations. The revolutionary thing about eMagic is three click concept i.e. Build, Deploy and Manage. eMagic has auto discovery feature which helps customers to discover all devices and deploy them in rack in just two clicks. With three clicks concept, devices of multiple datacenters across multiple geo-locations can be managed easily. Support to Heterogeneous hypervisors for VM management makes it unique along with wide traditional features like IP SLA monitoring, net flow, alerts, reports and application monitoring. ITIL framework support for data center management like Change Management System, Incident Management System and Problem Management system are enterprise features of eMagic. MtvScan is an aggressive website security scanner that keep websites safe and secure. MTvScan works on websites based on different frameworks like WordPress, Joomla etc. It thoroughly scans for different vulnerabilities that might be present or show up and notifies the developer accordingly. MTvScan provides automatic CMS scanning and Agent based server side scanning. It proactively scans for malwares, Trojans, security threats, infections and botnets. MtvScan also provides specialized defense against Zero-Day Exploits, Advisory Security Patches, Fully Trusted and Tested Custom Security for Websites. open source software has changed the way we do things. Today it is affecting our day to day life. Moreover, it has got into our ethics and is shaping the digital culture. Everyone is doing something to contribute and share to the community, benefiting themselves and others at the same time. As in freedom of speech we have inherited the freedom to use software. And this is going to go a long way!
    88 Posted by manohar parakh
  • What is Open Source? The term open source is a philosophy; it is an attitude that is driving people all around the world. Basically open source with respect to software means that you develop a software and make it freely available to the general public under any of the free licenses. People now can access its source, modify and re-distribute it, but while complying with the free license under which the original software was licensed. According to OpenSource.org, “Open source software is software that can be used freely, changed, and shared (in modified or unmodified form) by anyone. Open source software is made by many people, and distributed under licenses that comply with the open source definition.” By open sourcing a software, different people contribute to it and improve the software. Different people come together and collaborate to develop one good software. Open Source Software (OSS) has been around for a while now. We have been using such software from years. GNU/Linux Kernel based operating systems like Ubuntu, Fedora, RHEL, Linux Mint are a good example. Also the operating system on Android phones is Linux based. OSS from business perspective works similar to all other proprietary software's, but the difference is that users do not have to pay for them. However, the important difference here is that the user is effectively a co-developer, who can suggest different improvements in the software, or help fix bugs in the software or even get into the source code and modify it according to his/her needs which might make it even more better and then share it with others. Developing a software and giving it for free isn't open source. Richard Stallman, the software freedom activist and founder of GNU, quotes “When we call software ’free’, we mean that it respects the users' essential freedoms like the freedom to run it, change it and to redistribute copies with or without changes.” This is a matter of freedom not price, so think of ’free speech’ not ‘free beer’. These freedoms are vitally important. They are essential, not just for the individual users' sake, but for society as a whole because they promote social solidarity – that is, sharing and cooperation. Thus open source software must not be interpreted as “Free Software”, because there is a lot of difference between software which you can get for zero price, and a software which gives you the freedom to use it the way you want. You cannot look into the source code of a free software (zero priced software or a pirated software which is distributed freely), but you have access to the source code of an open source software. Well open sourcing a software has its own advantages. From a user’s perspective, the but obvious advantage is the software being freely available. A developer or programmer will be more than happy to get access of the source code, and do whatever he wants. Whereas on the other hand a software vendor, can cut off its annual software maintenance costs by open sourcing their software. Another great advantage is that, the software continuously evolves as more and more developers contribute to the software, add to it and modify it. This makes the software better, secure, bug free, as compared to proprietary software's. The best example is Linux kernel. The rate of development of Linux kernel is unmatched, these are the recent stats publicly announced by LinuxFoundation.org – “Nearly 12,000 developers from more than 1,200 companies have contributed to the Linux kernel since tracking began 10 years ago. The recent report said more than 4,000 developers from 200 companies have contributed to the kernel, half of whom contributed for the first time. The average number of changes accepted into the kernel per hour is 7.71, which translates to 185 changes every day and nearly 1,300 per week.” Today big players like Google, Facebook, Intel, Samsung, Red Hat, Canonical, Cisco, Yahoo etc. are promoting and contributing in open source activities. Need of open source! It all started with the frustration of not being able to tweak the software that were used. In early 1980s Richard Stallman, a computer programmer and hacker with a bunch of other guys were not allowed to modify the code of a newly installed laser printed at AI Labs where they used to work. Stallman had modified the source code of the lab's previously installed printer which used to send electronic notification to the user when the printing job used to get completed. Stallman wanted to add the same functionality to the newly installed printer but was refused to do so. This and few other similar events triggered the birth of open source software. Today in this rapidly developing digital era, open source software has an important role. Here are few well-known open source software's, and first of all the obvious and biggest open source project is the Linux Kernel, the well-known internet browser Mozilla, Apache web server that powers most of the world's websites, OpenSSL the project that keeps the internet secure and which is used by most of the organizations and government organization, GnuPG (GNU Privacy Guard) which is an encryption software used in most of the organizations for securing mails and files. Network Time Protocol (NTP) which synchronizes the time of all machines over the internet. The very well-known and widely used cloud software OpenStack is an open source software. These are just a few examples, the list goes on and on and on! Organizations like Linux Foundation which supports the development of Linux kernel as well as other open source projects, Apache Software Foundation which backs the development of Apache web server software used by most of the websites, etc. are few examples that prove the success and widespread of open source, its ideology and the software's that are making life easier and better. The point is people quickly adopt and collaborate to open source software's. Just because it gives them the freedom to freely use the software the way they want, modify it accordingly to their needs, help fix issues which benefits them as well as the community that is built around it. And most importantly the philosophy of open source is deeply rooted into people as they wish to collaborate and help build a better software. As previously stated, Linux kernel is the best example of an open source software. The success of the project is in the way it is developed and maintained by the community. Approximately every two months we have a new release of the Linux kernel. The reason is Linux kernel is being used in palm sized Raspberry Pi computers to super computers that are used in space stations, from cars to submarines that dive deep into the sea and the reason is just because it supports such a wide range of hardware. And it is because people from around the world collaborate and add patches to the Linux kernel which makes it support such hardware. Now that is the indirect outcome of “open source”. If Linus Torvalds, creator of Linux would have thought of keeping his project to himself then he would have ended up founding another Microsoft, and the world as it is now would have never been the same! The Future is Open! How does open source work? You find an open source software useful and start using it. Then you stumble across a bug, you would like to add a feature, you get in contact with the team. Then you submit the issue to a bug tracker, if you found one. f the team likes your idea then they themselves might ask you to write a patch for it. In most of the cases if it is easy, then you can yourself modify the code, do some tests and submit the patch. If the team accepts the patch and apply it then you are happy and your contribution makes the software even better. That was about contributing to the software that you use. What if you created an amazing software and now you want to go open source, again it is simple? You create a zip of your code and publish it on one of the open source software hosting sites like, github.com sourceforge.net, Once your project is published people will through it, and start collaborating. Well, the development of open source software happens collaboratively. Who are building products on top of pen source? The answer is, almost everyone! The tech giant, Google has contributed over 20 million lines of code from over 900 open source projects. The best example is Android – which is a software stack for mobile devices that is based on Linux. Chromium – web browser, Ganeti – cluster virtual server management software, Gerrit – web based code review system, Go – programming language, and many more. But Google isn't the only one, rival Facebook is also in the race. Even Facebook has a wide range of open source projects that span from Android to iOS, from the web to backend servers. Buck – is a build system for Android that helps in building reusable modules, Bolts – are few libraries for android and iOS that help building apps easier, react – is a JavaScript based library Flux – is an application architecture which are used for building web interfaces, Presto – is a distributed SQL query engine, HHVM – is a virtual machine designed to execute PHP programs with 5x increased throughput. Other big players like Red Hat, Intel and Canonical are also not lagging behind. Red Hat’s community driven Linux based operating systems CentOS and Fedora are very popular. Red Hat also has its own community driven version of OpenStack RDO and Jboss Developer which is an open source application server. Intel also has a big share in the open source world. One of them is Intel's Yocto Project- an initiative in developing shared development environment and tools for embedded developers. Ubuntu, the world’s most popular and widely used operating system is developed by Canonical. Canonical also has been developing wide range of open source software's, like Juju – which is a service orchestration tool for management and installation of cloud applications. Metal as a Service (MAAS) is another innovative project that helps to manage physical servers and cloud. Believe me, this article won’t be enough if we decide to list down all the open source projects that are currently being developed out there! India, being the world’s largest out sourcing destination also has companies that are keen in open source development. The best example is ESDS Software Solution (esds.co.in). Here at ESDS we foster the ideology of open source. We constantly encourage our colleagues to innovate and contribute to the open source community in every way that is possible. Our products eNlight™, eMagic and MtvScan are based on open source technologies. eNlight™ is an Intelligent and Highly scalable cloud orchestration software that has open source in its roots. eNlight™ has the capability to manage virtual machines running on different hypervisors like XenServer, Hyper-V. Unlike other cloud management software's, the scaling service of eNlight™ intelligently scales the resources of a virtual machine on the go, which reduces the cost to a large extent. One very unique feature eNlight™ is Pay per Consume i.e. you have to pay for CPU, RAM, and Bandwidth only when the VM uses it! This feature cuts down the expenses and is very unique to eNlight™. Different businesses have different needs, and thus every business needs a different and customizable cloud solution that perfectly satisfies it's needs and here comes eNlight™ into picture with its dynamic resource provisioning and scheduling. eNlight™ can also be deployed as a private cloud solution which supports wide range of hypervisors like, VMware, KVM, Xen Libvirt including XenServer and Hyper-V. eMagic is another innovative, in house developed data center management software, that simplifies and makes it easy to monitor and manage all the servers and resources in the data center. It is basically a web based system that is widely used for IT asset management, device deployment, and comprehensive server monitoring and network management in datacenters spread across different geo-locations. The revolutionary thing about eMagic is three click concept i.e. Build, Deploy and Manage. eMagic has auto discovery feature which helps customers to discover all devices and deploy them in rack in just two clicks. With three clicks concept, devices of multiple datacenters across multiple geo-locations can be managed easily. Support to Heterogeneous hypervisors for VM management makes it unique along with wide traditional features like IP SLA monitoring, net flow, alerts, reports and application monitoring. ITIL framework support for data center management like Change Management System, Incident Management System and Problem Management system are enterprise features of eMagic. MtvScan is an aggressive website security scanner that keep websites safe and secure. MTvScan works on websites based on different frameworks like WordPress, Joomla etc. It thoroughly scans for different vulnerabilities that might be present or show up and notifies the developer accordingly. MTvScan provides automatic CMS scanning and Agent based server side scanning. It proactively scans for malwares, Trojans, security threats, infections and botnets. MtvScan also provides specialized defense against Zero-Day Exploits, Advisory Security Patches, Fully Trusted and Tested Custom Security for Websites. open source software has changed the way we do things. Today it is affecting our day to day life. Moreover, it has got into our ethics and is shaping the digital culture. Everyone is doing something to contribute and share to the community, benefiting themselves and others at the same time. As in freedom of speech we have inherited the freedom to use software. And this is going to go a long way!
    Apr 17, 2018 88
  • 05 Mar 2018
    In this era of Information Technology, executives are not looking at cloud as just a tool to leverage their infrastructure anymore. They are now exploring optimal ways to use cloud technology in order to strategize their business goals in 2018. The cloud journey began from a personal storage system to an organization’s storage system and that's how cloud has humbly evolved giving large organizations the ability to adopt to connect better. However, a major challenge that cloud service providers face today is to prove their security ability. The industry is still hesitating to move their entire data to cloud. But it seems like 2018 will be the year when all these aspirations about safety are cast aside and cloud adoption rises in proportion to its benefits like mobility, greater than before efficiency, cost-effectiveness, simplified collaboration and high speed connectivity. Here are some numbers that will make cloud, the most relevant IT topic in 2018: More than 50% of enterprises will be adopting applications, platforms and services enabled by cloud in order to drive digital revolution by the end of 2018, predicts a recent survey by Forrester. Cloud computing spending is expected to grow at a whopping rate of 6x the rate of IT spending through 2020 and it is found to be growing at 4.5 times the rate of IT spending since 2009, says an IDC research report. The same report also predicts that half of the IT spending will be cloud-based by the end of 2018, reaching up to 60% of entire IT infra, and 60-70% of all applications, technology, and services spending by 2020. The Silicon ANGLE determines that cloud spending for enterprises is growing at a 16% CAGR (compound annual growth rate) from 2016 to 2026. Which cloud trends should strategic businesses and IT executives prepare for in 2018? Massive growth in cloud solutions A recent study from Bain & Co, KPMG and Statistics says that as long as cloud is growing, it’s natural for Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), function as a service (FaaS), backend as a service (BaaS) to grow aggressively too. SaaS is a software license service on a subscription basis and it’s hosted centrally. Currently, this sector is influenced by key players like Google Apps and Salesforce, and new companies are likely to jump in the competition. The growth rate for SaaS is predicted to be 18% CAGR by 2020. The PaaS offers a safe platform which gives customers a chance to develop, launch and manage applications in a modest way rather than having to build and maintain the infra by yourself. The growth rate of PaaS has been remarkable; it has been predicted that the adoption rate will escalate from 32% in 2017 and is supposed to reach 56% in 2020. IaaS provides a virtual resource service on the web and is dominated by Google Compute Engine (GCE), Azure, Amazon Web, AWS and IBM Bluemix. IaaS market is predicted to go over $17B in 2018. We saw positive performance in cloud sector services. Hence, we can expect greater cloud sector growth in 2018 and later. Continuous increase in cloud storage capacity A total amount of about 370 EB (Exabyte) data is stored in data centers presently and the global cloud storage capacity at the end of 2017 was upto 600 EB. These numbers are set to amplify the total capacity of 1.1 ZB (Zettabyte) in 2018 which nearly doubles the storage available in 2017 according to a survey by Cisco. Sharing of families and friend’s storage is going to now become a common practice in 2018 and will be used in place of applications like Google Drive and Dropbox. Server-less cloud computing is on the rise The server-less technology that allows developers to build and run application services without managing any server or infrastructure will take the center stage in 2018. The merits of not having to manage any infra makes Server-less Cloud Computing a trend in 2018 as it allows developers to connect cloud services and improve efficiency. Comparatively less time and effort is required to manage server-less cloud computing and also, release of new updates is easy and less complex. Cloud technology will continue its growth in 2018 and beyond and there’s no doubt in it. So organizations must position themselves in such a way such that they can actively participate in early cloud adoption, security and further development to achieve business goals in IT. Growing demand for cloud-based container system An alternate to a virtual machine, the cloud-based container system as service, is in demand. It allows apps to be deployed in a quick and straightforward manner. It also delivers better infra security and allows quick releases of new software modules and features to run smoothly. It’s possible for CSPs to offer hosted container management services and at the same time segregate the platforms from each other using cloud container systems. The year 2018 will see full implementation of cloud container system by key players in the technology sector. Artificial Intelligence & Machine Learning (AI/ML) will take center stage AI & ML are now set to revolutionize cloud solution. Major companies in the Artificial Intelligence & Machine Learning division are IBM, Google, Microsoft and Amazon Web Services. These tech giants are already making use of both these technologies to deliver cloud-based services geared to drive business growth. The rise of 5G network and upgraded internet speed The most awaited fifth-generation network (5G) is surely set to rule 2018. There is enormous amount of data generated on daily basis and the store rate has also increased tremendously, so internet speed also needs to be upgraded for a better user experience. And we know 2018 is likely to be the Gigabyte year where the transformation from LTE to 5G full capacity network will take place, and network providers are already working towards a better and faster connection to support cloud solutions and services to function seamlessly.
    64 Posted by manohar parakh
  • In this era of Information Technology, executives are not looking at cloud as just a tool to leverage their infrastructure anymore. They are now exploring optimal ways to use cloud technology in order to strategize their business goals in 2018. The cloud journey began from a personal storage system to an organization’s storage system and that's how cloud has humbly evolved giving large organizations the ability to adopt to connect better. However, a major challenge that cloud service providers face today is to prove their security ability. The industry is still hesitating to move their entire data to cloud. But it seems like 2018 will be the year when all these aspirations about safety are cast aside and cloud adoption rises in proportion to its benefits like mobility, greater than before efficiency, cost-effectiveness, simplified collaboration and high speed connectivity. Here are some numbers that will make cloud, the most relevant IT topic in 2018: More than 50% of enterprises will be adopting applications, platforms and services enabled by cloud in order to drive digital revolution by the end of 2018, predicts a recent survey by Forrester. Cloud computing spending is expected to grow at a whopping rate of 6x the rate of IT spending through 2020 and it is found to be growing at 4.5 times the rate of IT spending since 2009, says an IDC research report. The same report also predicts that half of the IT spending will be cloud-based by the end of 2018, reaching up to 60% of entire IT infra, and 60-70% of all applications, technology, and services spending by 2020. The Silicon ANGLE determines that cloud spending for enterprises is growing at a 16% CAGR (compound annual growth rate) from 2016 to 2026. Which cloud trends should strategic businesses and IT executives prepare for in 2018? Massive growth in cloud solutions A recent study from Bain & Co, KPMG and Statistics says that as long as cloud is growing, it’s natural for Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), function as a service (FaaS), backend as a service (BaaS) to grow aggressively too. SaaS is a software license service on a subscription basis and it’s hosted centrally. Currently, this sector is influenced by key players like Google Apps and Salesforce, and new companies are likely to jump in the competition. The growth rate for SaaS is predicted to be 18% CAGR by 2020. The PaaS offers a safe platform which gives customers a chance to develop, launch and manage applications in a modest way rather than having to build and maintain the infra by yourself. The growth rate of PaaS has been remarkable; it has been predicted that the adoption rate will escalate from 32% in 2017 and is supposed to reach 56% in 2020. IaaS provides a virtual resource service on the web and is dominated by Google Compute Engine (GCE), Azure, Amazon Web, AWS and IBM Bluemix. IaaS market is predicted to go over $17B in 2018. We saw positive performance in cloud sector services. Hence, we can expect greater cloud sector growth in 2018 and later. Continuous increase in cloud storage capacity A total amount of about 370 EB (Exabyte) data is stored in data centers presently and the global cloud storage capacity at the end of 2017 was upto 600 EB. These numbers are set to amplify the total capacity of 1.1 ZB (Zettabyte) in 2018 which nearly doubles the storage available in 2017 according to a survey by Cisco. Sharing of families and friend’s storage is going to now become a common practice in 2018 and will be used in place of applications like Google Drive and Dropbox. Server-less cloud computing is on the rise The server-less technology that allows developers to build and run application services without managing any server or infrastructure will take the center stage in 2018. The merits of not having to manage any infra makes Server-less Cloud Computing a trend in 2018 as it allows developers to connect cloud services and improve efficiency. Comparatively less time and effort is required to manage server-less cloud computing and also, release of new updates is easy and less complex. Cloud technology will continue its growth in 2018 and beyond and there’s no doubt in it. So organizations must position themselves in such a way such that they can actively participate in early cloud adoption, security and further development to achieve business goals in IT. Growing demand for cloud-based container system An alternate to a virtual machine, the cloud-based container system as service, is in demand. It allows apps to be deployed in a quick and straightforward manner. It also delivers better infra security and allows quick releases of new software modules and features to run smoothly. It’s possible for CSPs to offer hosted container management services and at the same time segregate the platforms from each other using cloud container systems. The year 2018 will see full implementation of cloud container system by key players in the technology sector. Artificial Intelligence & Machine Learning (AI/ML) will take center stage AI & ML are now set to revolutionize cloud solution. Major companies in the Artificial Intelligence & Machine Learning division are IBM, Google, Microsoft and Amazon Web Services. These tech giants are already making use of both these technologies to deliver cloud-based services geared to drive business growth. The rise of 5G network and upgraded internet speed The most awaited fifth-generation network (5G) is surely set to rule 2018. There is enormous amount of data generated on daily basis and the store rate has also increased tremendously, so internet speed also needs to be upgraded for a better user experience. And we know 2018 is likely to be the Gigabyte year where the transformation from LTE to 5G full capacity network will take place, and network providers are already working towards a better and faster connection to support cloud solutions and services to function seamlessly.
    Mar 05, 2018 64
  • 18 Feb 2018
    What do you mean by Data Center Services?   Data Center Services is an umbrella term used to describe services which create, execute, enhance or maintain a data center for an organization. Basically, data center services include all the facilities related to IT components and activities. It can involve software, hardware, personnel and processes.   Types of Data Centers   Enterprise Data Centers   Previously, enterprises built their own data centers on their own sites. However, building private data centers has not quite proved to be the best investment of companies’ precious capital because considering the construction and maintenance costs. CEOs and CIOs started realizing that these financial resources could be used in business development.   Managed Service Provider   Managed Service Provider remotely controls customers’ IT infrastructure proactively on a subscription model. The IT infrastructure is on the service providers’ sites and the services are provided to the end customers remotely. There are various pricing models which change according to number of devices and users based on the IT support and management services.   Colocation   A colocation data center facility is a business where the customer rents space in the providers’ premises for computing hardware. A colocation service provides building, cooling, power and physical security while the customer provides storage and servers. The main reason businesses choose colocation service is the CAPEX related with building, maintenance and taking care of large computing facilities.     Wholesale Data Centers   Wholesale Data Center also known as Multi-Tenant Data Center benefits large companies which need large portions of space than a typical colocation provider would offer. A wholesale data center service provider would generally offer huge space to customers who need more space for their IT hardware. Wholesale colocation is generally offered at cheaper rates compared to retail colocation.   Data Center Facilities & Services   Data Center facilities include   In-house Facilities   An organization can have in-house facilities where they can design, build and operate a data center in their own premises. There is no involvement of a third party because the organization takes it on them to provide the necessary requirements to run their operations. An experienced IT team is necessary to maintain a complex data center architecture.   Colocation Facilities   Colocation facilities are provided by a third party and is the exact opposite of in-house facilities because they are multi-tenant accessible. Multiple businesses can choose to house their equipment in third party data centers. Customers can choose solutions which are specific to their business when buying colocation facilities.   Dedicated Hosting   In a dedicated hosting solution, customers have full control over the server allocated to them. The server and storage is completely dedicated to one customer or one business for a single purpose. The customer manages all the hardware himself and maintains the equipment without sharing it with any other customers.   Managed Hosting   Managed hosting is similar to dedicated hosting as it falls under similar conventions but provides an additional set of features to customers who use their servers. The additional services include database and system administration, managed security, system monitoring, application management services and much more. The hardware may be owned by the provider or the customer but the management of those servers is the responsibility of the provider and not the customer.   Shared Hosting   In a shared hosting environment, the customer shares the server as it acts as a host to multiple clients or businesses. The shared hosting includes sharing of the applications and software within the physical server. The hosting provider deploys an interface which allows multiple customers to customize their services according to their business needs. Shared hosting is cost-efficient because there is no need to employ technical staff to manage your website and also the cost of the server is shared.   Data Center Infrastructure Management (DCIM)   Data center infrastructure management tools tracks the performance of IT related equipment to analyze data about infrastructure components such as servers, storage, network, etc. It also helps in decision-making process as well as aids in optimal use IT hardware. DCIM tools enable data centers to control storage, power and cooling in real time. The tools basically administer relationship between the facility and the IT systems. The energy monitoring sensors can be installed in the data center to analyze power usage effectiveness and cooling system energy efficiency. This type of approach is called Continuous Modeling which allows the IT head to observe the changes in the infrastructure and take decisions based on the data.   Data Center Operations   The processes which are performed within a data center are basically known as data center operations. There are infrastructure operations which include installing, managing, monitoring and updating servers along with storage and network resources. Security is essential for any data center which includes physical and logical security in the premises. Management of all the processes within the data center should be taken care of along with monitoring of policies. To let your data center function smoothly it is essential to consider the consistency of operations which ensures continuous availability of facilities.   Conclusion Enterprises can no longer ignore the fact that data centers have become very essential for the functioning of big business. Data centers have become a key parameter of any business when it comes to IT infrastructure requirements. Particular interruptions in your data center can bring your business to its knees and thus, it is important to have strategies in place.
    106 Posted by manohar parakh
  • What do you mean by Data Center Services?   Data Center Services is an umbrella term used to describe services which create, execute, enhance or maintain a data center for an organization. Basically, data center services include all the facilities related to IT components and activities. It can involve software, hardware, personnel and processes.   Types of Data Centers   Enterprise Data Centers   Previously, enterprises built their own data centers on their own sites. However, building private data centers has not quite proved to be the best investment of companies’ precious capital because considering the construction and maintenance costs. CEOs and CIOs started realizing that these financial resources could be used in business development.   Managed Service Provider   Managed Service Provider remotely controls customers’ IT infrastructure proactively on a subscription model. The IT infrastructure is on the service providers’ sites and the services are provided to the end customers remotely. There are various pricing models which change according to number of devices and users based on the IT support and management services.   Colocation   A colocation data center facility is a business where the customer rents space in the providers’ premises for computing hardware. A colocation service provides building, cooling, power and physical security while the customer provides storage and servers. The main reason businesses choose colocation service is the CAPEX related with building, maintenance and taking care of large computing facilities.     Wholesale Data Centers   Wholesale Data Center also known as Multi-Tenant Data Center benefits large companies which need large portions of space than a typical colocation provider would offer. A wholesale data center service provider would generally offer huge space to customers who need more space for their IT hardware. Wholesale colocation is generally offered at cheaper rates compared to retail colocation.   Data Center Facilities & Services   Data Center facilities include   In-house Facilities   An organization can have in-house facilities where they can design, build and operate a data center in their own premises. There is no involvement of a third party because the organization takes it on them to provide the necessary requirements to run their operations. An experienced IT team is necessary to maintain a complex data center architecture.   Colocation Facilities   Colocation facilities are provided by a third party and is the exact opposite of in-house facilities because they are multi-tenant accessible. Multiple businesses can choose to house their equipment in third party data centers. Customers can choose solutions which are specific to their business when buying colocation facilities.   Dedicated Hosting   In a dedicated hosting solution, customers have full control over the server allocated to them. The server and storage is completely dedicated to one customer or one business for a single purpose. The customer manages all the hardware himself and maintains the equipment without sharing it with any other customers.   Managed Hosting   Managed hosting is similar to dedicated hosting as it falls under similar conventions but provides an additional set of features to customers who use their servers. The additional services include database and system administration, managed security, system monitoring, application management services and much more. The hardware may be owned by the provider or the customer but the management of those servers is the responsibility of the provider and not the customer.   Shared Hosting   In a shared hosting environment, the customer shares the server as it acts as a host to multiple clients or businesses. The shared hosting includes sharing of the applications and software within the physical server. The hosting provider deploys an interface which allows multiple customers to customize their services according to their business needs. Shared hosting is cost-efficient because there is no need to employ technical staff to manage your website and also the cost of the server is shared.   Data Center Infrastructure Management (DCIM)   Data center infrastructure management tools tracks the performance of IT related equipment to analyze data about infrastructure components such as servers, storage, network, etc. It also helps in decision-making process as well as aids in optimal use IT hardware. DCIM tools enable data centers to control storage, power and cooling in real time. The tools basically administer relationship between the facility and the IT systems. The energy monitoring sensors can be installed in the data center to analyze power usage effectiveness and cooling system energy efficiency. This type of approach is called Continuous Modeling which allows the IT head to observe the changes in the infrastructure and take decisions based on the data.   Data Center Operations   The processes which are performed within a data center are basically known as data center operations. There are infrastructure operations which include installing, managing, monitoring and updating servers along with storage and network resources. Security is essential for any data center which includes physical and logical security in the premises. Management of all the processes within the data center should be taken care of along with monitoring of policies. To let your data center function smoothly it is essential to consider the consistency of operations which ensures continuous availability of facilities.   Conclusion Enterprises can no longer ignore the fact that data centers have become very essential for the functioning of big business. Data centers have become a key parameter of any business when it comes to IT infrastructure requirements. Particular interruptions in your data center can bring your business to its knees and thus, it is important to have strategies in place.
    Feb 18, 2018 106
  • 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.
    546 Posted by manohar parakh
  • Almost all tech savvy people these days know about the potential of cloud computing technology and how cloud platform has already affected businesses by effectively storing data and balancing the existing workloads is also known. Because cloud computing is the cutting-edge technology, a lot of companies need time to think and understand how cloud will continue to rise with time. Cloud technology saw major changes when change in trends like rise of mobile started replacing computers and when rise in Internet of Things (IoT) platform came into picture. The big dream now is to see how artificial intelligence (AI) improvises cloud just the way cloud technology has improvised AI development. According to a research by one of the biggest cloud company IBM, stated that the union of AI and cloud “insures to be a means to accelerate change and also be a source of innovation” The cloud can provide AI systems with all the information they need to learn from, at the same time the AI systems can provide information which can give cloud more data. The AI-cloud marriage can escalate the rate at which AI is developing, and the determination of cloud giants to research into AI shows that these are not just words. Also a study by IBM, “The cognitive advantage,” discloses that about 65 per cent of early adopters consider AI to be an important factor for their organizations success. And more than half say that AI is essential for digital transformation. As the capabilities of AI rise, so will the demand for cloud technology. Artificial Intelligence enabled by cloud About 90% of early cloud adopters claim that cloud technology will play an important role in their Artificial Intelligence initiatives in coming years. And more than 55% of users chose cloud-based services and are leveraging SaaS & PaaS to execute and deploy AI-infused cloud results. The early adopters have also share their experiences and claimed that enabling cloud technology will play a significant role in AI adoption. Hence we can say that pervasive AI is supported by pervasive cloud. AI in the cloud today We have seen a giant amount of investment on the capabilities of AI in the cloud platforms in the last few years. With tech-giants like Google, Amazon, Microsoft leading the charge, many PaaS solutions have also started integrating AI abilities. After analyzing the present-day scenario of the cloud-AI technology, we can classify it into two major groups: Cloud Machine Learning (ML) Platforms: Modern day technologies like AWS ML, Azure ML and the upcoming Google Cloud ML use a specific technology that is held responsible for powering the creation of machine learning models. But excepting Google Cloud ML that leverages Tensor Flow can be difficult because a large number of cloud ML technologies won’t permit implementation of AI programs coded in conventional AI. AI Cloud Services: Technologies that support AI platform for business like IBM Watson, Google Cloud Vision, Microsoft Cognitive Services or Natural Language application programming interfaces allow abstract complex AI capabilities via simple API calls. Using this you can incorporate AI capabilities without investing in sophisticated AI infra. The AI technologies are bound to evolve with time and cloud platforms will switch from the level of basic support for AI capabilities to a much flexible model where AI programs are as widely supported as web and databases function today. Can AI power the next phase of cloud technology? The cloud technology is a well-established technology trend that is majorly ruled by IT companies like ESDS, Google, Amazon, etc. AI definitely carries unique features that can influence various next generations of cloud computing platforms. AI requires support for brand new programming paradigms also needs a new computing infrastructure. So, we can expect AI capabilities to be held and incorporated by the cloud as a principle element of its infrastructures. Also we can expect to see the advent of a new generation of cloud platforms powered by AI. Maybe we are entering the era of the AI-first cloud. How to transform your business with artificial intelligence in the cloud? A form of AI that businesses are increasingly resorting to are Chatbots that enhance their online presence. ESDS’ new chatbot service for the banking and other sectors hinges on Natural Language Processing system. This makes conversations with chatbots more ‘real’ since they are enriched with Neural Networking, predicting user-intent and executing the required dialog flow. Businesses these days undeniably need Artificial Intelligence and business proprietors need AI technology to improvise the way they operate and help keep them ahead of their competitors. The greatest benefit of AI technology is the ability to improve efficiency of the businesses, according to the Economist Intelligence Unit’s 2016 survey. This also means AI can also be tedious tasks like predictive maintenance, product design, or streamlining logistics and cloud can make AI easier and cheaper to be executed. Demand for data scientists is rapidly increasing, and it will exceed supply to more than 50% in the next few years. Early AI adopters also expect that AI should solve the existing scarcity of data science talent. Business owners want AI to help them visualize, analyze, and strategize around large sets of data and AI is found to fills the gap by enabling the processing of big data. A survey held in 2016 by Narrative Science found that businesses and tech executives who used AI conveyed higher confidence in their ability to use big data. The combination of AI and cloud is shaping up to be a disruptive force across a lot of industry verticals. A survey by the Transparency Market Research predicted that using “machine learning (ML) as a service” the market is expected to grow from $1.07 billion in 2016 to $19.86 billion by 2025. This AI-cloud relation not only creates a new way of thinking about other existing technologies and methodologies also brings a new degree of accessibility to AI technology. Thanks to cloud, AI technology is now available for your businesses. And this is not a myth or just an idea. This is real and truly functional. Talking about the evolution of AI, it hasn’t arrived fully. There are still a lot of challenges on the way for AI technology. But experimentation is the best way of overcoming these challenges. Cloud and AI are digitally converting the way we interact with the world.
    Feb 13, 2018 546
  • 09 Feb 2018
    Many of us have seen the option of ‘cloud storage’ on our smart phones, but we hardly ever use it or explore it. Till our mobiles take care of storing our photos, videos, apps and other things in its RAM, internal storage as well as external memory cards, we don’t bother understanding more about Mobile Cloud Storage. Investing in phones with huge inbuilt memories has become the ‘it’ thing now. However, only a tech-savvy few understand that it is more practical to use the cloud storage option than spending extra money on inbuilt storage. What does it mean to opt for ‘cloud storage’ on your phone and why is it a more beneficial option? Let’s read on to know more… Mobile cloud storage Mobile cloud storage is basically a form of cloud storage that can be used to store your mobile device data. This data once stored on the mobile cloud can be accessed anywhere and at any time on your phone in an area with internet connectivity. Mobile cloud storage platform also facilitates syncing and sharing the data with other multiple devices like other phones, tablets, PCs and laptops. This type of storage is also many a times called as pocket cloud storage, personal cloud storage or storage on the go. With the advent in mobile technology, it has become imperative that our smart phones today perform more complex functions. Due to limited storage, energy and computational power, phones have to utilize the cloud storage services to complete tasks efficiently. In simple terms, mobile cloud storage means that files can be saved on cloud from the phone. It also involves offloading service which means that tasks, especially those which are computational intensive, can be moved to cloud as well to save battery and CPU usage. Service providers Many mobile cloud storage providers exist in the market like Apple with iCloud, Google Drive and Amazon with Dropbox; they all provide limited free cloud storage to users. For more storage space, providers offer paid services that are usually distributed in monthly subscription offers depending on the desired storage. Mobile device manufacturers too have inbuilt cloud storage option that users can utilize for their advantage. Apple devices come with already configured Apple mobile cloud storage called the iCloud. For several android phones, Google Drive has become a preloaded option where users can also back up their device data. Savior in disguise You take out your phone to click a random photograph and suddenly, a message pops up after clicking that your device storage is full! This could be life-shattering technical hurdle for many mobile-addict users today. What do you do in this case? Delete a few files that were less important but not completely unimportant or do you wedge for other options like download the photos to your PC, but by that time that spontaneous moment when you could have captured the photo has gone. Now, ponder about the cloud storage option on your phone. It could really be a savior! Most technical experts recommend that all those things that hog your mobile space like videos and photos majorly, should be offloaded to a cloud at the earliest possible occasion. If you do this with a free service most of your photos and videos are going to be triflingly resized; you will have to pay up if you want to store them in full resolution. However, there are several cloud storage apps and varied rate structures to choose from in case you want them in the original quality at low cost. The major benefits of using the mobile cloud storage platform include: Limitless storage: Your phone will have only a few MBs and GBs of storage for videos, photos, files, applications and data, but a cloud platform has virtually limitless storage which can go up to terabytes. On the go: All this stored data can be accessed on any device at anytime and anywhere. The only requirement is internet connectivity in the form of Wi-Fi or cellular signal. Security: No matter what is said about cloud storage security, the real deal is that mobile cloud storage is much more secure than your phone storage. Remember your phone can get lost, damaged or stolen, but your mobile cloud account will remain in the virtual space and accessible forever. Mobile cloud computing However, the synergetic relationship with mobile and cloud goes beyond just storage. While your smart phone is a mechanical marvel and can do several local tasks on its own just fine, it still has several computing limitations. This is where mobile cloud computing comes in to help you with all the ‘heavy lifting’. Dubbed by the International Data Corporation (IDC) as the ‘Third Platform’ mobile cloud computing essentially means cloud computing where at least a few of the connected devices are mobile. It brings together mobile computing, cloud computing and wireless networks in order to increase capabilities of mobile devices using offloading techniques. A mobile cloud allows for improved access to and management of data as well as better scalability and dependability. It lets business applications be accessed from anywhere and at any time. Mobile cloud computing is emerging as one of the most important branches of cloud computing today. It completely eliminates the limitations of software and hardware upgradations in mobile phones that occur due to its size. It helps resource intensive tasks to be performed on the cloud and results be sent to the mobile phone. Meanwhile, mobile cloud computing extends all benefits of cloud computing like zero downtime, low cost, hardware-less solution, flexibility, scalability, and others. With all these advantages, techies are still figuring out how to eliminate the biggest disadvantage of mobile cloud – data security. Smart phone users very often give sensitive details through the network. If not protected with encryptions, passwords or other techniques, it can lead to a disaster in case of a security breach. To summarize, mobile cloud storage has surfaced as a new paradigm and extension of cloud storage and is expected to grow quickly in the coming time.
    81 Posted by manohar parakh
  • Many of us have seen the option of ‘cloud storage’ on our smart phones, but we hardly ever use it or explore it. Till our mobiles take care of storing our photos, videos, apps and other things in its RAM, internal storage as well as external memory cards, we don’t bother understanding more about Mobile Cloud Storage. Investing in phones with huge inbuilt memories has become the ‘it’ thing now. However, only a tech-savvy few understand that it is more practical to use the cloud storage option than spending extra money on inbuilt storage. What does it mean to opt for ‘cloud storage’ on your phone and why is it a more beneficial option? Let’s read on to know more… Mobile cloud storage Mobile cloud storage is basically a form of cloud storage that can be used to store your mobile device data. This data once stored on the mobile cloud can be accessed anywhere and at any time on your phone in an area with internet connectivity. Mobile cloud storage platform also facilitates syncing and sharing the data with other multiple devices like other phones, tablets, PCs and laptops. This type of storage is also many a times called as pocket cloud storage, personal cloud storage or storage on the go. With the advent in mobile technology, it has become imperative that our smart phones today perform more complex functions. Due to limited storage, energy and computational power, phones have to utilize the cloud storage services to complete tasks efficiently. In simple terms, mobile cloud storage means that files can be saved on cloud from the phone. It also involves offloading service which means that tasks, especially those which are computational intensive, can be moved to cloud as well to save battery and CPU usage. Service providers Many mobile cloud storage providers exist in the market like Apple with iCloud, Google Drive and Amazon with Dropbox; they all provide limited free cloud storage to users. For more storage space, providers offer paid services that are usually distributed in monthly subscription offers depending on the desired storage. Mobile device manufacturers too have inbuilt cloud storage option that users can utilize for their advantage. Apple devices come with already configured Apple mobile cloud storage called the iCloud. For several android phones, Google Drive has become a preloaded option where users can also back up their device data. Savior in disguise You take out your phone to click a random photograph and suddenly, a message pops up after clicking that your device storage is full! This could be life-shattering technical hurdle for many mobile-addict users today. What do you do in this case? Delete a few files that were less important but not completely unimportant or do you wedge for other options like download the photos to your PC, but by that time that spontaneous moment when you could have captured the photo has gone. Now, ponder about the cloud storage option on your phone. It could really be a savior! Most technical experts recommend that all those things that hog your mobile space like videos and photos majorly, should be offloaded to a cloud at the earliest possible occasion. If you do this with a free service most of your photos and videos are going to be triflingly resized; you will have to pay up if you want to store them in full resolution. However, there are several cloud storage apps and varied rate structures to choose from in case you want them in the original quality at low cost. The major benefits of using the mobile cloud storage platform include: Limitless storage: Your phone will have only a few MBs and GBs of storage for videos, photos, files, applications and data, but a cloud platform has virtually limitless storage which can go up to terabytes. On the go: All this stored data can be accessed on any device at anytime and anywhere. The only requirement is internet connectivity in the form of Wi-Fi or cellular signal. Security: No matter what is said about cloud storage security, the real deal is that mobile cloud storage is much more secure than your phone storage. Remember your phone can get lost, damaged or stolen, but your mobile cloud account will remain in the virtual space and accessible forever. Mobile cloud computing However, the synergetic relationship with mobile and cloud goes beyond just storage. While your smart phone is a mechanical marvel and can do several local tasks on its own just fine, it still has several computing limitations. This is where mobile cloud computing comes in to help you with all the ‘heavy lifting’. Dubbed by the International Data Corporation (IDC) as the ‘Third Platform’ mobile cloud computing essentially means cloud computing where at least a few of the connected devices are mobile. It brings together mobile computing, cloud computing and wireless networks in order to increase capabilities of mobile devices using offloading techniques. A mobile cloud allows for improved access to and management of data as well as better scalability and dependability. It lets business applications be accessed from anywhere and at any time. Mobile cloud computing is emerging as one of the most important branches of cloud computing today. It completely eliminates the limitations of software and hardware upgradations in mobile phones that occur due to its size. It helps resource intensive tasks to be performed on the cloud and results be sent to the mobile phone. Meanwhile, mobile cloud computing extends all benefits of cloud computing like zero downtime, low cost, hardware-less solution, flexibility, scalability, and others. With all these advantages, techies are still figuring out how to eliminate the biggest disadvantage of mobile cloud – data security. Smart phone users very often give sensitive details through the network. If not protected with encryptions, passwords or other techniques, it can lead to a disaster in case of a security breach. To summarize, mobile cloud storage has surfaced as a new paradigm and extension of cloud storage and is expected to grow quickly in the coming time.
    Feb 09, 2018 81
  • 07 Feb 2018
    What does a Public Cloud mean? Public Cloud is the most recognized models of cloud computing by the consumers. Here, cloud services are provided in a virtualized environment, applications or storage is made available to the general public and services can be on pay per consume model offered by the service provider. Private and Hybrid Cloud Vs Public Cloud Private Cloud – When an organization wishes to go for a private cloud, they get full control over the IT infrastructure which is always maintained on a private network where the hardware and software is solely dedicated to one’s business. Private cloud uses computing resources exclusively for one organization which is flexible and can be customized as per the client’s wish. Hybrid Cloud – Usually known as ‘Best of both worlds’, hybrid clouds consist of on-premise infrastructure (private cloud) and public cloud. For higher flexibility and deployment options, data and applications can move freely between private and public cloud. In case you have high volume demands, then you can go for Public Cloud or else you can make use of on-premise infrastructure for business critical operations. Comparable in features Scalability Public Cloud – High scaling of computing resources Private Cloud – Limited scalability is available due to pre customized hardware for specific clients Hybrid Cloud – Same as public cloud, hybrid cloud also has high scaling capabilities.      B.  Security Public Cloud – Your data is safe on public cloud with enterprise class firewall and you are protected from hardware failures. Private Cloud - When you design the cloud architecture according to your needs you exactly know where your data lives; behind your own locked doors. Hybrid Cloud – Hybrid cloud offers the same level of security like the public cloud. However, here you can also get integration options to add an extra layer of security.      C.  Performance Public Cloud – As the same hardware is shared between different users, performance can go down if another client hosted on the same server experiences a lot of traffic. Thus, performance level may fluctuate based on the server load. Private Cloud – A private cloud environment allows you to apply optimization technologies that strongly improve your performance. Hybrid Cloud – As hybrid cloud uses a mix of public cloud and private cloud platforms, it allows the workloads to move smoothly between these platforms which give businesses higher flexibility and data deployment options. D. Hardware Public Cloud – Public cloud is built in a completely virtualized environment and cost effective solution that consists secure VMs along with SAN storage, scalable RAM and flexible bandwidth. Private Cloud – A private cloud is dedicated to one organization and offers similar advantages just like public cloud which includes scalability and self-service. A private cloud is a best option for businesses that has unpredictable needs. Hybrid Cloud – Hybrid cloud consists of on-premise hardware resources along with cloud resources so that there is no single point of failure and can be utilized for businesses with variable workload. Advantages of Public Cloud 1.Cost Effective - The main advantage of choosing a public cloud is that you save a lot of money because you save your entire IT expense by not installing, operating and maintaining servers and not investing your money in physical IT infrastructure. 2.Scalability - Public cloud offers scalability which enables the users to scale resources like bandwidth, RAM and storage as per the business requirements and scale the resources down when it is not necessary.  Reliability – Public clouds are created by combining the sheer number of servers and networks with redundancy configurations which means that the cloud service would still run and all components will remain unaffected even if one physical component fails. 4.Flexibility – There are a lot IaaS, PaaS and SaaS services in the market on the public cloud model which are ready to be used as a service by any device which is internet enabled. 5.Location liberty – Public cloud is available almost everywhere through an internet connection. It is ensured that the services are available wherever the user is located. Conclusion It is important for a business to understand its own needs so that an optimum choice can be made to choose the right cloud architecture. There are different pros and cons of different cloud platforms, but you need to consider the one which best suits your business. Public cloud has its own advantages as it offers pay per consume structure which is a flexible financial model. Public cloud does not have many infrastructure components; thus it makes it easy for businesses to scale their IT resources on demand. For more information visit us at: Cloud Server Hosting
    101 Posted by manohar parakh
  • What does a Public Cloud mean? Public Cloud is the most recognized models of cloud computing by the consumers. Here, cloud services are provided in a virtualized environment, applications or storage is made available to the general public and services can be on pay per consume model offered by the service provider. Private and Hybrid Cloud Vs Public Cloud Private Cloud – When an organization wishes to go for a private cloud, they get full control over the IT infrastructure which is always maintained on a private network where the hardware and software is solely dedicated to one’s business. Private cloud uses computing resources exclusively for one organization which is flexible and can be customized as per the client’s wish. Hybrid Cloud – Usually known as ‘Best of both worlds’, hybrid clouds consist of on-premise infrastructure (private cloud) and public cloud. For higher flexibility and deployment options, data and applications can move freely between private and public cloud. In case you have high volume demands, then you can go for Public Cloud or else you can make use of on-premise infrastructure for business critical operations. Comparable in features Scalability Public Cloud – High scaling of computing resources Private Cloud – Limited scalability is available due to pre customized hardware for specific clients Hybrid Cloud – Same as public cloud, hybrid cloud also has high scaling capabilities.      B.  Security Public Cloud – Your data is safe on public cloud with enterprise class firewall and you are protected from hardware failures. Private Cloud - When you design the cloud architecture according to your needs you exactly know where your data lives; behind your own locked doors. Hybrid Cloud – Hybrid cloud offers the same level of security like the public cloud. However, here you can also get integration options to add an extra layer of security.      C.  Performance Public Cloud – As the same hardware is shared between different users, performance can go down if another client hosted on the same server experiences a lot of traffic. Thus, performance level may fluctuate based on the server load. Private Cloud – A private cloud environment allows you to apply optimization technologies that strongly improve your performance. Hybrid Cloud – As hybrid cloud uses a mix of public cloud and private cloud platforms, it allows the workloads to move smoothly between these platforms which give businesses higher flexibility and data deployment options. D. Hardware Public Cloud – Public cloud is built in a completely virtualized environment and cost effective solution that consists secure VMs along with SAN storage, scalable RAM and flexible bandwidth. Private Cloud – A private cloud is dedicated to one organization and offers similar advantages just like public cloud which includes scalability and self-service. A private cloud is a best option for businesses that has unpredictable needs. Hybrid Cloud – Hybrid cloud consists of on-premise hardware resources along with cloud resources so that there is no single point of failure and can be utilized for businesses with variable workload. Advantages of Public Cloud 1.Cost Effective - The main advantage of choosing a public cloud is that you save a lot of money because you save your entire IT expense by not installing, operating and maintaining servers and not investing your money in physical IT infrastructure. 2.Scalability - Public cloud offers scalability which enables the users to scale resources like bandwidth, RAM and storage as per the business requirements and scale the resources down when it is not necessary.  Reliability – Public clouds are created by combining the sheer number of servers and networks with redundancy configurations which means that the cloud service would still run and all components will remain unaffected even if one physical component fails. 4.Flexibility – There are a lot IaaS, PaaS and SaaS services in the market on the public cloud model which are ready to be used as a service by any device which is internet enabled. 5.Location liberty – Public cloud is available almost everywhere through an internet connection. It is ensured that the services are available wherever the user is located. Conclusion It is important for a business to understand its own needs so that an optimum choice can be made to choose the right cloud architecture. There are different pros and cons of different cloud platforms, but you need to consider the one which best suits your business. Public cloud has its own advantages as it offers pay per consume structure which is a flexible financial model. Public cloud does not have many infrastructure components; thus it makes it easy for businesses to scale their IT resources on demand. For more information visit us at: Cloud Server Hosting
    Feb 07, 2018 101