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Technology 346 views Dec 07, 2017
A Cloud That Flexes Like Elastic In Real-time – ESDS’ eNlight!

Before the evolution of cloud computing, businesses running on the on-premise computing model faced major challenges like less business agility, complexity in capacity planning and increasing hardware expenses. Since the introduction of cloud technology, this concern is solved as Cloud has become a savior of all the IT enterprises. Cloud these days is no longer at the novice level, instead it has turned to be an important aspect of enterprise IT environment. The CxOs these days are particular about choosing the right Cloud Solution Provider (CSP).

Cloud computing is projected to increase from $67B in 2015 to $162B in 2020 attaining a CAGR (Compound annual growth rate) of 19%. -- Forbes

In this era of indefinite possibilities and high-end technology, cloud computing has become one of the few things that will transform the existing business processes. Cloud indeed has emerged as a technological revolution since its inception. Every enterprise is different in the way it works, and so must be their CSPs. Thus, our cloud experts at ESDS have engineered a multi-dimensional auto scaling, intelligent cloud computing architecture keeping in mind the uniqueness of your business. eNlight Cloud gives you the most appropriate cloud infrastructure that suits your needs and that’s not it, you are also handed over the wand of power that enables you to manage and monitor all aspects of your IT infra.

‘Cloud computing is a style of computing in which scalable and elastic IT-enabled capabilities are delivered as a service using Internet technologies.’ --Gartner

eNlight Vertical Scaling technology

In every business there are days when there’s huge amount of data being generated and similarly, and comparatively there are days when the data generated is so massive. A scalable cloud is all you need to address both these concerns. Vertical scaling is the future of cloud and eNlight-enabled vertical scaling allows virtual machines to upscale and downscale their CPU and RAM in real time in correspondence to the data generated.

eNlight-based VMs consume resources based on demand. These resources, when not in use, are pulled back by the VM leading to optimal resource utilization and ultimately saving huge amount of money.

eNlight's auto scaling technology is the most cost-effective technology in the world. It builds on demand, elastic storage space for the compute usage while in passive mode. Moreover, with the introduction of the Pay Per Consume transparent billing model, billing with eNlight is done as per the consumption of CPU, RAM & Disk space.

eNlight guarantees 100% uptime on the infrastructure level. It is offered as a fully managed cloud to customers with a 24*7 help desk, live chat and phone support. Our phone support executives help customers by resolving all kinds of operating system issues, data base administration problems and network optimization giving them a complete peace of mind. This enables them to focus on the growth of their businesses since all the IT hassles are reduced.

eNlight currently is serving more than 25,000 VMs used by over 7000 customers across the globe.

The most important factor for businesses to opt for eNlight Cloud and its Pay Per Consume auto-scaling model is the end result – a minimum saving of 70% of the IT costs.

eNlight Cloud boasts of US & UK patents

ESDS eNlight Make-a-Cloud-In-India has been a proud recipient of first cloud computing patents – 9176788 (US) and GB2493812 (UK)– from the US and UK Patent and Trademark Office respectively. The patent is titled ‘Method & System for Real Time Detection of Resource Requirement & Automatic Adjustments’ which means that eNlight is the only cloud that can conduct ‘Real time adjustment of CPU, RAM, Disk Space and other resources in a VM based on the resource requirements of the VM running in the Cloud’. ESDS offers certified Tier-III fault tolerant infrastructure as well as cloud, data and managed services for mission-critical IT systems and businesses. ESDS' Data Centers Are Tier III certified for design by Uptime Institute. With over 35,000 customers over 13 years, 99.99% service level commitments, 100% services & infrastructure availability delivered till date, ESDS has delivered up to 70% reductions in client IT expenditure. ESDS clients, partners and associates are proud of its 24*7 Exuberant customer support.

About US:

The future of cloud computing as well as career opportunities in the field shines bright for India. For more information visit us at: Cloud Computing AND eNlight

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  • 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.
    475 Posted by manohar parakh
  • 09 Jan 2018
    The concept of ‘connectivity’ is going beyond laptops and smartphones as we see it moving towards smart cities, smart homes, smart retail, smart farming, connected cars, connected wearable devices and connected healthcare. In short a connected life. The Internet of Things is a popular terminology these days, but unlike many technological fads which have come and gone in the last years, the Internet of Things proves to be an important trend which is having long lasting effects on the society. The term “Internet of Things” itself is used to mean a variety of ideas. The IoT cloud platform is primarily designed to store and process IoT data and forms the core of all IoT devices and IoT solution. The platform is built in a way that it enables taking in a huge amount of data generated by sensors, websites, applications and initiate actions for real-time responses and analytics.For example, Smart Refrigerators can automatically order the run out items, similarly when you use Smart Locks, you do not need to have multiple keys for them, and you can unlock them by using smart phones.  The platform can provide businesses with an extensive and integrated perspective of customers, without needing much technical know-how of a data analyst. The platform can intake lot of events each day and users can define rules that state events to act on and what actions to take. The demand for cloud enabled IoT services and solutions is rapidly increasing. A report by Zinnov Zones says India has about 43 per cent or $1.5 billion of the global $3.5 billion IoT market. Experts predicts that Indian IoT market will grow from $1.5 billion today to more than $9 billion by 2020 with over 2.7 billion connected devices and growing. Another Gartner report predicts, by ‘2020 the number of connected devices across all technologies will reach to about 20.6 billion’.The real world IoT-Cloud platform application:1.Smart Home AutomationHow would you feel if you could switch off lights after you left home/office or switch the AC on before reaching home? With IoT taking shape there is introduction of a world where all the smart devices can be in constant connection with each other and are monitored by users remotely via voice commands or by a simple click. With the rapid growth of IoT it is predicted Smart Homes will be as common as smart phones. It has also been predicted by Gil Press that more than two thirds of consumers plan to buy connected technology for their homes by 2019.2.Smart Wearable TechnologyA detailed report by Tech Republic says in 2016, wearables were sold at a rate of 38 million and a large portion of them were fitness trackers and smart watches. These two classifications will make up a joint income of $4.9 billion. Wearable devices are installed with sensors and software’s which collect data and information about the users. This data is later pre-processed to extract essential insights about the user. The pre-requisite from IoT technology for wearable applications is to be highly energy efficient, low power and small sized. The productivity of data processing achieved by various smart wrist wear, hearable, and smart glasses is getting closer to where wearables will bring exceptional value to our lives.3.Connected VehiclesGartner predicts that about 250,000,000 connected cars will be out on the roads by 2020. So, what really are connected cars? IoT engineers have come up with an industry solution for connected automobiles that gathers, analyzes, stores and takes action on vehicle sensor data. A connected vehicle is one which is able to improve and analyze its own operation, maintenance as well as comfort of passengers using onboard sensors and internet connectivity. IoT for automobiles is a vehicle-to-cloud offering that enables awareness of the environment even beyond the vehicles and helps use information to establish a relationship with the driver as well.4.Industrial InternetThe IIoT (Industrial IoT) enables industrial engineering with sensors, software and big data analytics to build intelligent equipment. Smart machines are precise and consistent than humans in communicating data. And these analytics on the generated data can help companies pick inabilities and problems fast. In the meanwhile, did you know that about 5.4 million IoT devices will be used on oil extraction sites by 2020 to provide environmental metrics about extraction sites?5 Smart CitiesIoT has the potential of solving major problems faced by the people living in cities like pollution, traffic congestion and shortage of energy supplies etc. IoT will empower cities to leverage their network to offer advanced smart city applications for citizens, new eco-sustainability initiatives and create first-hand opportunities for enterprise development.6 IoT in Agriculture To help increase farm performance, IoT technology providers continue to develop IoT cloud based platforms that can sense, process and communicate precisely measured environmental data. Farms are becoming more connected as farmers realize the potential of IoT in helping them reduce cost while achieving improved results.7. Smart RetailIoT Smart Retail enables stores to revolutionize customer service while saving time and money, while simultaneously providing the consumer with a seamless shopping experience. By installing this system, retailers are also able to recapture investment dollars while surpassing expectations for tech-savvy consumers. Some of the components included in Smart Retail Are Power shelf, Beacons and Digital Price Tags.8 IoT for HealthcareResearch says IoT in healthcare will be enormous in coming years. It is aimed at enabling people to live healthier life by wearing connected devices. For example, through IoT, doctors can use GPS services and be prepared for treating patients being brought to the hospital in emergency cases. 9.IoT in Telecom IndustryGlobal telecom operators now use IoT enabled digital platforms that are a combination of connectivity, analysis, security, mobile and cloud to support businesses. This is helping them reduce operating costs while enabling end-users to consume technology in a business focused manner saving time and money.
    424 Posted by manohar parakh
  • 11 Jan 2018
    Imagine what banks looked like before 1970. Long queues and particularly long waiting period for just about any transaction was normal. People were customers of a branch and not really a parent bank. All transactions could be performed at your particular branch only. Any entry only reflected after more than 24 hours as information went to data centers in batches at the end of the working day. However, over the next 40 years most banks chose to create a Centralized Online Real-time Exchange or Environment (CORE) to manage their operations, thus giving rise to Core Banking. In India alone, the number of public sector bank branches with core banking implementation went from 79.4% in March 2009 to 90% in March 2010. All over the world, the numbers are closing in on cent per cent. According to US-based research and advisory firm Gartner, core banking system (CBS) is basically a back-end system that performs banking transactions on a daily basis and updates accounts and financial records. It is essentially a bank’s nervous system that if affected can change the bank’s operations drastically. CBS is a common point of connection for the entire gamut of products and services that banks today provide under one umbrella. Centralized data centers have been formed and all banking applications can be accessed here. Data of any bank as a whole is stored in a central server that branches, regional offices and head office can lay hands on. All types of banking operations like recording all types of transactions, loan and mortgages as well as interest calculations, deposits, money transfer, payment balance, customer information and such other operations have become fully automated using a core banking solution. Such a solution makes use of the internet or other forms of connectivity to automate the operations with an appropriate software. This core banking software is then applied across all the branches thus bringing them all on a single platform. A solution usually comprises of: Internet, mobile, tab banking Data centre and colocation as well as DR services Fund transfer remotely and immediately (IMPS, NEFT, RTGS, etc.) Automated Teller Machines (ATMs) & Point of Sale systems Several other services like QR Code Merchant Payment, Agency Banking Application, eKYC Solution, Connectivity and others. Goal of CBS Core banking solutions differ from bank to bank and largely depend on the type of customer bases that a bank has. The basic goal of core banking is to be largely customer convenient and cut down on operational expenses. A good core banking solution directly impacts profitability, customer satisfaction and competitiveness. It enables customers to achieve more freedom in transaction, banks yield from reduced time and resources spent on monotonous activities. A Core Banking solutions is especially beneficial because of its: Scalability: As transactions are processed in bulk volumes daily, the business priority is to be able to scale up without any breaks. Flexibility: Banking has numerous modules that requires a solution which is extremely flexible that is able to configure the right mix of IT resources at the right time. Agility: To be competitive in the market the solution can quickly adapt to changes and transformations. Cost-effectiveness: These solutions not just deliver customer-satisfaction but also benefit the bank by saving them lots of man hours and maintaining accuracy. A successful core banking application can be migrated in all types of financial institutions including: Corporate Banks PSU & Nationalized Banks Scheduled Co-Operative Banks Urban Co-Operative Banks State Co-Operative Banks Payment Banks Small Finance Banks Non-Banking Finance Corporations Micro Finance Institutions Credit Co-Operative Societies Securities & Insurance Sector Regional Rural Banks Advantages Among the myriad of advantages that a CBS has, the most important is that it has enabled banks to strengthen their relationship with customers. Concepts of customer satisfaction, retention, customized and tailored plans, customer convenience and others were introduced in the financial industry, thanks to core banking. Customers today have a plethora of channels through which they can contact their respective banks. It could be through their PCs via the internet, on their smart phones, tabs or through mobile kiosks. A good core banking software integrates all these channels and provides a seamless transacting experience for both the bank and the customer. Since all processes become automated, another major advantage of a good modern core banking solution is that it reduces chances of human errors and fraud. This in turn increases employee efficiency and then eventually boosts business opportunities. All the resources are aptly utilized thus minimizing chance of wastage as well. Automation, more often than not, always helps companies save a lot of money and time. Online banking decreases human footfalls in bank premises which means that infrastructural costs go down drastically. Similarly, operational and support expenses also go down. Maintaining legacy systems is also a pricy affair. Core banking brings down IT maintenance costs by moving to shared services platforms. Lastly, since all steps are accurately recorded and can be tracked back, a ready business analysis is available in real time. All the data collected in the back-end can thus be transformed into actionable insights according to need. This has made banking smarter over the years. Core banking solutions have also changed over the time brining into its purview improved services. CIOs believe that integration of new technologies like Artificial Intelligence, Chat-bots and Internet of Things platform can help trigger business intelligence which helps in better decision making. While many banks have chosen to establish their own applications for their core banking needs, others have to go for independent software vendors, system integrators and cloud service providers for a customized solution. ESDS Cloud Company has strong experience in the core banking field having brought together over 250 co-operative banks together under its community cloud automating almost all their applications. It also has two world-class data centres with an active Uptime Institute’s Tier-III Certification where all mission-critical data of banks can be safely stored and analysed. Many banks have chosen ESDS for its exemplary Disaster Recovery as a Service which saves up to 90% of costs.
    347 Posted by manohar parakh
  • 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.
    256 Posted by manohar parakh
  • 07 May 2018
    Introduction Businesses have always been dependent on the analytics they carry out to uncover insights and trends in their field to learn more out of the situation. The concept of Big Data analytics has been around for many decades helping entrepreneurs to dig into their data manually to find most useful patterns and shifts in the market. This concept has evolved throughout the years and the method to analyze big data has also changed. Big Data cannot be processed through any traditional application software because there are tools like Hadoop and platforms like cloud based technologies to mine large amounts of data. The analytics provide organizations with an efficient way to stay agile in their business. Importance of Big Data Analytics Big Data Analytics assists organizations to effectively utilize their data to identify new fields in their business to create opportunities which are nothing but a very smart business move. Data analytics automatically results in efficient operations, more profits and a happy customer base. Enterprises acquire significant cost advantages when we talk about storage because cloud-based analytics platform takes care of this particular issue. With Hadoop, which has in-memory analytics, organizations can take faster and better decisions because Hadoop has the ability to analyze various sources of data and then businesses are able to process this information immediately. New products and services can be produced with the help of analytics by studying the customer’s needs. More and more companies are now paying attention to these needs by creating services to satisfy the customer. How Big Data is shaping the education sector Schools, universities, colleges and educational bodies hold very large amounts of data related to students and faculty. This data can be analyzed to get insights that can improve operational effectiveness of the educational institutions. Student’s behavior, examination results and development of each student as well as the education needs based on the changing educational requirements, can be processed through statistical analysis. Big Data paves the way for revolutionary system where students will learn in exciting ways. Let us have a look at some of the fields in Education Sector which will be highly impacted due to Big Data: Students’ Results When big data is implemented in an education sector, the entire educational body reaps the benefits of this technology along with students and parents. Measuring a student’s academic performance is through exams and the results they produce.  Each student generates a unique data trail during his or her lifetime, which can be analyzed for better understanding of a student’s behavior to create the best possible learning environment. Big data analytics monitors student’s activity such as their favorite subjects, their classroom performance, curricular activity interests, time they take to finish an exam and many other things within a student’s educational environment. A report can be constructed which will indicate the interest areas of a student. Analytics of Educators Educators can reap maximum benefits of Big data analytics due to the processing of data-driven systems which can help institutions create many learning experiences according to a student’s learning capability, ability and preference. Multiple programs can be fostered which will encourage each individual to choose what they desire to learn and through this many reports can be generated in the life of a student and what they would like to do or be in the future. Educators can improve their teaching skills after receiving feedback for a better learning experience equally for all students. Career prediction Digging deep into a student’s performance report will help the responsible authority to understand a student’s progress and their strengths and weaknesses. The reports will suggest the areas in which a student is interested and he/she can further pursue a career in the same field. If a student is keen on learning a particular subject, then the choice should be appreciated and encouraged to follow what the student believes in. Conclusion Big Data analytics are present in each and every field and it provides with valuable information. It lets you do things which were never dreamed before. Important decisions can be made to improve the current scenario and it is only possible if you carry out predictive big data analytics.
    232 Posted by manohar parakh
  • 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.
    169 Posted by manohar parakh
  • 22 Jun 2018
    Banks are digitally transforming themselves at a fast pace with advanced branchless technology and contemporary services. The latest buzzword in the fintech industry are chatbots which have been adopted by almost all leading banks to make their customer service readily available to clients round the clock. So now, what is next? Big Data? But banks across the world are already using data analytics to upscale their business. Hover, tech experts believe that banks are still to realize the full potential of Big Data. While the BFSI sector creates enormous amount of data every second, is it able to mine this voluminous amount of information? May be it is time, say some. Big Data that is defined by volume of data, variety of data and velocity of processing the data presents big opportunities for financial institutions. Many of these have even transformed themselves with the help of data mining that eventually helps in quick, easy and apt decision making. While, banks have been slow in the adoption of this technology due to the confidential nature of its data, the trend is seeing a positive change. Let’s take a look at some advantages of deploying Big Data techniques in banking: Risk Management While all businesses need to engage in appropriate risk management, in banking industry this practice warrants extra attention. Big Data coupled with Business Intelligence can provide vital insights to banks on risks of approving loans to potential customers’ post evaluation of portfolios. Big Data can likewise help in early detection of fraud since it locates and presents data on a single scale making it simpler to mitigate the count of risks to a controllable number. While improving the projecting power of risk models, big data also lowers system response times and increases effectiveness. Also, along with wide risk coverage, analytics also cause vital cost savings by generating more automated processes and precise predictive systems and less failure risk. It can positively impact fraud management, credit management, loans management, operational risks, and integrated risk management. Compliance A heavy regulatory framework dictates the working of financial services so as to form a shield of protection against frauds and misuses. Big Data can play a crucial role in conforming adherence to regulations. It can identify and patch vulnerabilities, thereby strengthening and fortifying all materials of data governance and compliance. It can likewise help create baseline for ‘standard’ operations, which gives organizations a head begins in recognizing extortion and enables supervisors to spot consistence and administrative issues previously they turn into an issue. Customer Experienc American worldwide management consulting firm McKinsey Company says that marketing productivity can be boosted by 15-20 per cent if companies use data and Big Data to make better marketing decisions. From ‘Product is King’, BFSI strategies now focus on ‘Customer is King’ and it has become important to focus on what they need and expect from a bank and financial institutions. To understand this, just a few customer snapshots won’t make the deal, a data hub needs to be created with ALL information about the customer and his interaction with the brand like personal data, transaction history, browsing history, service, and so on. These customer insights generated by data-based analytics can empower the BFSI sector to segment customers and target them with appropriate material. Fraud Detection Banks also, monetary administrations can and are already using Big Data analytics to distinguish between fraudulent activities and genuine business transactions. investigation and machine learning can both help determine standard movement in view of a client's history and differentiate it from unordinary conduct demonstrating extortion. The investigation can also suggest remedial activities, for example, blocking crooked transactions, deriving from actions taken in past. It will not only stop misrepresentation before it happens but will also improve profitability. Employee Engagement What your employees feel about working in your company has a lot to do with what your end customers will experience. A higher level of satisfaction among employees will also extend to your customers and will push business growth. Big Data can help companies look at real-time data and not just annual reviews which are usually based on human memory. With the correct tools in place, companies can measure everything from individual performance, team work, inter-departmental interaction, and the overall company culture. When the data is related to customer metrics, it can also enable employees to spend less time on manual processes and more time on higher-level tasks. Challenge While there are many positives to making use of Big Data analytics in the BFSI sector, the huge amount of data that is being generated by a wide variety and number of sources poses a big challenge. A study says that, the digital universe is expected to reach 44 zettabytes (that's 44 trillion gigabytes) by 2020. Thus, imagine the amount of data that is going to be generated. Super software and computers will be needed to process such information that can halt legacy systems. Conclusion Once the sorting is done and useless data can be justifiable thrown out, the remaining crucial data can help banks grow from leaps to bounds. Besides, helping banks deliver better services to their customers, both internal and external, Big Data is also helping them improve on their active and passive security systems. Big Data is already playing a role in the banking sector with many banks and financial institutions capturing customer related data for sentiment analysis, starting from social media websites to various market research channels. Transactional analysis is being used to fathom spending patterns of customers, assess consumer behavior based on channel usage and consumption patterns and segment consumers depending upon the aforementioned attributes, and identify potential customers for selling financial products. Most of these findings can be applied easily into fiscal systems of banks aiding them reinforce data security and avoid any type of attack. A combination of many such transactional and sentimental gauges can help banks arrive at a holistic decision making approach and thereby implement erudite machinery, a need of the hour for the banking sector.
    161 Posted by manohar parakh
  • 18 Oct 2017
    Middle banking is the centralization of banking transactions done thru the individuals and banks as a whole. the whole financial institution and its skills are controlled under a unmarried surroundings.the india post has a larger center banking device than that of sbi, stated union it and communications minister ravi shankar prasad. the india publish modified into helped via way of tech big infosys to installation the middle banking answers connecting 1.5lakh post places of work with 20crore client payments in 2012. implementation of cbs is an vital part of authorities’s plan for it modernization.what's core banking?a patron can manipulate his/her financial institution account and carry out simple transactions like withdrawal, deposit, transfer from any department of the bank. in layman terms, it an everywhere,each time bank.the banking programs are deployed on the centralized server and are constantly up to date in actual time because the patron performs a transaction. with the advancement of generation and cutting-edge-day cloud computing, center banking website hosting has come to be less difficult and rate powerful.blessings of center bankingwithin the millennial generation, the decision for for core banking solution is immoderate. with the fast pace digital age, middle banking is a severe need of the monetary and credit score institutions. also, because of iot and cell banking cbs implementations is welcomed.the customers can display all their bank debts in one region and  can manage their cash as and at the same time as desired. a secure 24*7 banking facility is to be had. speedy payments via the usage of internet banking and cell banking is some other benefit of center banking.middle banking answers allow business business enterprise continuity for entities and clean analytics of records. a low rate going for walks shape assists in the investments to reach out to more customers and enlarge geographic reach. with transparency of transactions, file submissions to the government and distinctive regulatory our bodies like rbi becomes unchallenging.
    151 Posted by manohar parakh
  • 13 Nov 2017
    You may consider the Internet of Things as an environment where each and everything that surrounds you i.e.: objects like vehicles, flora, fauna, and people – are Things. The role that IoT plays here to the “things” is add digital interactivity amongst them. Sounds crazy, right?     This is exactly what could happen in the near future. IoT can take the Internet to another level, where web applications interact with each other and with people, also interaction between web applications and other countless objects in the physical world takes place. And physical world also means everything that you can imagine of like: instruments, electronic devices, smart devices, telecommunication enables devices, houses, transportation, medical devices and so on. And guess what all these are completely connected via internet!   Cloud computing and Internet of Things (IoT) are two different technologies that are already playing an important part of our lives. It is predicted that IoT might accelerate operation of the cloud computing technology, also will intensively advance predictions about consumer preferences, also modify the breadth of facilities that managed service providers can provide. The tons of GB’s of data generated by cities, needs to be stored, processed and accessed, which leads to rapid growth of IoT and this rapid data generation calls for association of technologies and also creates a connection between “things.” Here Cloud technology acts as a paradigm for data storage in large amounts and analytics on the data takes place. At the same time IoT is exciting in its own way, the innovation will derive by combining IoT with cloud computing.     Let’s talk about eNlight IoT, the eNlight enabled IoT has the potential to change the way we interact with our belongings. eNlight IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. eNlight IoT can support various devices, and can process and route sensor messages to other devices reliably and securely. With eNlight IoT, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected. eNlight IoT makes it easy to use Node RED, to build IoT applications that collect, process, analyze, visualize and act on data generated by connected devices, without having to manage any infrastructure.   Feature of eNlight IoT:   Device Connection Management:   eNlight IoT allows you to easily connect devices to the cloud and to other devices. You can actually make your thing talk to you using eNlight IoT. Connecting your devices and interacting with them was never so easy.     Secure device Connection, data transfer & Access Control   eNlight IoT provides authentication, access control and end-to-end encryption throughout all points of connection, so that data is never exchanged between devices and eNlight IoT without proven identity.     Real-Time Data Management   With eNlight IoT, you can collect, filter, transform, and trigger upon device data on the fly, based on business rules you define. You can update your rules to implement new device and application features at any time. eNlight IoT makes it easy to use Node RED services for your device data. You can easily set real-time triggers and notifications on your device data on the fly.     Rich Analytics & Insights   With eNlight IoT, you can collect, analyze and visualize device data on our Dashboard. You can visualize data with various graphs and widgets. eNlight IoT makes it easy to use Node RED services for your device data to send data to various analytics tools and do real-time analysis of your device data.     The ideal eNlight IoT Use case:   Cloud computing and IoT combination will now enable monitoring utility and advance powerful processing of sensory data streams. For instance, data generated by smart devices can now be uploaded and stored on the eNlight enabled cloud, later on it can be used brilliantly for monitoring, analysis, generating insights and also for communication with other smart equipment. So the goal is to transform data to knowledgeable insights and be highly productive, and generate cost-effective action from those insights.   Ultimately eNlight IoT serves effectively as the most intelligent suite that improves decision-making and optimizes internet-based communication.  
    129 Posted by manohar parakh
  • 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?
    124 Posted by manohar parakh