Source – insidebigdata.com The wonders of automation have brought incredible efficiencies to standard IT monitoring practices, especially when it comes to the detection-prevention-analysis-response (DPAR) cycle. Automating detection and remediation steps via alerts has alleviated massive amounts of stress for IT teams and businesses alike, providing the data needed to understand how and why issues happen. But Read More

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Source – insidebigdata.com Technologies such as smart sensors and the Internet of Things (IoT) are enabling vast amounts of detailed data to be collected from scientific instruments, manufacturing systems, connected cars, aircraft and other sources. With the proper tools and techniques, this data can be used to make rapid scientific discoveries and develop and incorporate more Read More

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Source – computerweekly.com More than just a technology buzzword, microservices are changing the way organisations develop software, according to the technology head honcho at SAP Hybris. Speaking to Computer Weekly on the sidelines of a recent company event, Moritz Zimmermann, chief technology officer of SAP Hybris, said unless organisations move from a “centralised command and control” way of Read More

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Source – timesofindia.indiatimes.com HYDERABAD: Banking, Financial Services & Insurance (BSFI) professionals in Hyderabad are beating their IT counterparts when it comes to learning analytics, according to findings by a data science institute with centres in major IT cities such as Delhi NCR, Pune, Mumbai, Bengaluru, Chennai and Hyderabad. While IT tops the enrolment at every other centre, Hyderabad, where 39% of the Read More

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Source – searchdatamanagement.techtarget.com NEW YORK — In the rush to capitalize on deployments of big data platforms, organizations shouldn’t neglect data quality measures that can ensure what’s used in analytics applications is clean and trustworthy, experienced IT managers said at the 2017 Strata Data Conference here last week. Several speakers pointed to data quality as Read More

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Source – techtarget.com In some regards, the term big data management can be viewed as an oxymoron. In fact, oxymorons abound in this industry and society — virtual reality, artificial intelligence, science fiction and awfully good, the latter of which can apply to the challenges encountered in managing the onslaught of big data from multiple sources. There are countless tools, techniques and practices Read More

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Source – techtarget.com Cloud services have transformed IT infrastructure, but the most recent trends in cloud computing signal a more fundamental shift that’s reshaping jobs. Newer cloud services and application design principals — such as microservices, serverless computing and function as a service — have important implications for both IT operations staff and developers. However, understanding Read More

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Source – eletsonline.com Artificial Intelligence has become the nucleus of governance in India. With the Modi Government constantly making efforts to create an environment for digital growth and the rapid technological advancement that we are witnessing today particularly in the field of artificial intelligence has transformed the way of governance. The Prime Minister himself being a Read More

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Source – yourstory.com Every single day, millions of dollars are being spent in call centres simply to answer repeated questions, thousands of times over and over again. Let us see how AI is going to affect IT service management. In this age of artificial intelligence, managers at all levels need to accept that a significant chunk Read More

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Source – enterprisersproject.com You can operate microservices without containers. However, microservices and containers are a dynamic duo, the IT equivalent of milk and cookies. “Microservices – single-function services built by small teams, independent from other functions, and communicating only through public interfaces – simply make a great match for containers,” as Red Hat technology evangelist Gordon Haff recently noted. “Microservices plus containers represent a shift Read More

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Source – cio.com In recent years, enterprise machine learning has revolved around crunching numbers: analyzing datasets or tracking customer behavior. But what organizations will soon realize is that applying machine learning to content—physical documents, images, presentations and even conversational UIs—removes the cap on who machine learning impacts, and how far its value extends across the enterprise. Read More

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Source – cio.com Machine learning (ML) is fast becoming a litmus test for forward-thinking CIOs. Companies that fail to adopt machine learning for product development or business operations risk falling behind more nimble competitors in the coming decade. That’s according to Dan Olley, who as the CTO of Elsevier, the scientific and health information unit of RELX Group, has ratcheted Read More

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Source – informationweek.com IT teams can salvage the value of legacy systems while pivoting to a new foundation offering better customer experiences. CIOs and their teams are routinely maintaining costly, long-running legacy systems that have gathered a large amount of data about purchases, services, and customer behavior over the years. Sure, they’re getting a bit creaky Read More

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Source – forbes.com Moshe Yanai has been re-thinking the box for more than 40 years, inventing new configurations of the large containers in which we keep the data generated by our constantly expanding digital lives. Data is eating the world and Yanai has been staying on top of its exponential growth by applying smart algorithms (what Read More

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Source – forbes.com These and many other fascinating insights are from the Boston Consulting Group and MIT Sloan Management Review study published this week, Reshaping Business With Artificial Intelligence. An online summary of the report is available, and a PDF of the report is accessible here (22 pp., PDF, free, no opt-in). The survey is based on interviews with more Read More

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Source – forbes.com From Siri to Alexa, customers are becoming accustomed to AI-powered solutions and soon they will expect the same for their local businesses. Sure, an AI roll-out can be daunting, but by adopting a strategic approach and adding smart software, small businesses will not only be able to differentiate themselves from competitors, but compete Read More

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Source – information-age.com There are many qualities that we search for in great leaders: wisdom; loyalty; constancy; courage; the ability to communicate persuasively, balanced with a willingness to hear uncomfortable truths and to change direction. But when it comes to a great data leader, a crucial role in an increasingly digitalised era, the defining characteristics vary Read More

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Source – fiercehealthcare.com Big data has a lot of potential to improve healthcare and a number of companies are developing applications to help make that happen, according to a new report. Healthcare market research firm Kalorama Information dove into government and trade source databases to outline some of the uses of big data and the groups that are driving the push for Read More

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Source – zdnet.com At the core of any DevOps initiative is the judicious employment of containers and microservices, which dramatically speed up and simplifying the jobs of developers and operations teams alike. While many of the tried-and-true rules of IT management apply, containers and microservices also add new considerations, and new ways of doing things. To Read More

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Source – networkworld.com There’s no doubt that digital transformation (DX) is revolutionizing the way we do business, and cloud computing serves as a key cog in the DX machine. Cloud’s elasticity can indeed help digital businesses communicate more rapidly and increase innovation. But to extract full value from the cloud, companies must make sure that they Read More

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Artificial Intelligence