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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.
    342 Posted by manohar parakh
  • 07 Dec 2017
    Before the evolution of cloud computing, businesses running on the on-premise computing model faced major challenges like less business agility, complexity in capacity planning and increasing hardware expenses. Since the introduction of cloud technology, this concern is solved as Cloud has become a savior of all the IT enterprises. Cloud these days is no longer at the novice level, instead it has turned to be an important aspect of enterprise IT environment. The CxOs these days are particular about choosing the right Cloud Solution Provider (CSP). Cloud computing is projected to increase from $67B in 2015 to $162B in 2020 attaining a CAGR (Compound annual growth rate) of 19%. -- Forbes In this era of indefinite possibilities and high-end technology, cloud computing has become one of the few things that will transform the existing business processes. Cloud indeed has emerged as a technological revolution since its inception. Every enterprise is different in the way it works, and so must be their CSPs. Thus, our cloud experts at ESDS have engineered a multi-dimensional auto scaling, intelligent cloud computing architecture keeping in mind the uniqueness of your business. eNlight Cloud gives you the most appropriate cloud infrastructure that suits your needs and that’s not it, you are also handed over the wand of power that enables you to manage and monitor all aspects of your IT infra. ‘Cloud computing is a style of computing in which scalable and elastic IT-enabled capabilities are delivered as a service using Internet technologies.’ --Gartner eNlight Vertical Scaling technology In every business there are days when there’s huge amount of data being generated and similarly, and comparatively there are days when the data generated is so massive. A scalable cloud is all you need to address both these concerns. Vertical scaling is the future of cloud and eNlight-enabled vertical scaling allows virtual machines to upscale and downscale their CPU and RAM in real time in correspondence to the data generated. eNlight-based VMs consume resources based on demand. These resources, when not in use, are pulled back by the VM leading to optimal resource utilization and ultimately saving huge amount of money. eNlight's auto scaling technology is the most cost-effective technology in the world. It builds on demand, elastic storage space for the compute usage while in passive mode. Moreover, with the introduction of the Pay Per Consume transparent billing model, billing with eNlight is done as per the consumption of CPU, RAM & Disk space. eNlight guarantees 100% uptime on the infrastructure level. It is offered as a fully managed cloud to customers with a 24*7 help desk, live chat and phone support. Our phone support executives help customers by resolving all kinds of operating system issues, data base administration problems and network optimization giving them a complete peace of mind. This enables them to focus on the growth of their businesses since all the IT hassles are reduced. eNlight currently is serving more than 25,000 VMs used by over 7000 customers across the globe. The most important factor for businesses to opt for eNlight Cloud and its Pay Per Consume auto-scaling model is the end result – a minimum saving of 70% of the IT costs. eNlight Cloud boasts of US & UK patents ESDS eNlight Make-a-Cloud-In-India has been a proud recipient of first cloud computing patents – 9176788 (US) and GB2493812 (UK)– from the US and UK Patent and Trademark Office respectively. The patent is titled ‘Method & System for Real Time Detection of Resource Requirement & Automatic Adjustments’ which means that eNlight is the only cloud that can conduct ‘Real time adjustment of CPU, RAM, Disk Space and other resources in a VM based on the resource requirements of the VM running in the Cloud’. ESDS offers certified Tier-III fault tolerant infrastructure as well as cloud, data and managed services for mission-critical IT systems and businesses. ESDS' Data Centers Are Tier III certified for design by Uptime Institute. With over 35,000 customers over 13 years, 99.99% service level commitments, 100% services & infrastructure availability delivered till date, ESDS has delivered up to 70% reductions in client IT expenditure. ESDS clients, partners and associates are proud of its 24*7 Exuberant customer support. About US: The future of cloud computing as well as career opportunities in the field shines bright for India. For more information visit us at: Cloud Computing AND eNlight
    282 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.
    163 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.
    145 Posted by manohar parakh
Technology 222 views Jan 09, 2018
How would Smart IoT shape our lives in the future?

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 Automation

How 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 Technology

A 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 Vehicles

Gartner 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 Internet

The 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 Cities

IoT 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 Retail

IoT 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 Healthcare

Research 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 Industry

Global 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.