Agile Digital Transformation

Agile Digital Transformation

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The Limits of Machine Learning for IT Operations Management

The primary challenge with big data? Figuring out what to do with so much data, of course. Collecting them, storing them, and even moving them around — no problem. Squeezing value out of them is another story.

moog 768w, 1024w, 219w, 50w, 600w, 815w, 1200w" sizes="(max-width: 300px) 100vw, 300px" />IT operations analytics (ITOA) data is a case in point. We’ve now figured out how to generate and collect vast quantities of data, from log files to infrastructure metrics to bug-tracking data to real-time business data. Somewhere in all that dross are the gems of insight — the golden nuggets of information that can help us crack the toughest ITOA nuts, from identifying root causes of complex issues to predicting what’s going to happen next to actually preventing such problems in the first place.

Over the last few years, a number of big data analytics innovations have entered the marketplace to be sure — and perhaps the most promising of all is machine learning. The idea behind machine learning is software that can learn from experience — software that can get better with practice at whatever task we’ve set out for it, as though it were learning to play the piano.

Machine learning has an unmistakable appeal, as it gives techies a break. They no longer have to know how to solve particularly difficult problems directly. They simply have to be able to teach a piece of software how to learn how to solve the problems. Free the software to crunch your data, and lo and behold, the solution soon appears as though from thin air.

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Copyright © Intellyx LLC. Intellyx publishes the Agile Digital Transformation Roadmap poster, advises companies on their digital transformation initiatives, and helps vendors communicate their agility stories. As of the time of writing, Moogsoft is an Intellyx customer. None of the other organizations mentioned are Intellyx customers. Intellyx retains final editorial control of this article.

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More Stories By Jason Bloomberg

Jason Bloomberg is a leading IT industry analyst, Forbes contributor, keynote speaker, and globally recognized expert on multiple disruptive trends in enterprise technology and digital transformation. He is ranked #5 on Onalytica’s list of top Digital Transformation influencers for 2018 and #15 on Jax’s list of top DevOps influencers for 2017, the only person to appear on both lists.

As founder and president of Agile Digital Transformation analyst firm Intellyx, he advises, writes, and speaks on a diverse set of topics, including digital transformation, artificial intelligence, cloud computing, devops, big data/analytics, cybersecurity, blockchain/bitcoin/cryptocurrency, no-code/low-code platforms and tools, organizational transformation, internet of things, enterprise architecture, SD-WAN/SDX, mainframes, hybrid IT, and legacy transformation, among other topics.

Mr. Bloomberg’s articles in Forbes are often viewed by more than 100,000 readers. During his career, he has published over 1,200 articles (over 200 for Forbes alone), spoken at over 400 conferences and webinars, and he has been quoted in the press and blogosphere over 2,000 times.

Mr. Bloomberg is the author or coauthor of four books: The Agile Architecture Revolution (Wiley, 2013), Service Orient or Be Doomed! How Service Orientation Will Change Your Business (Wiley, 2006), XML and Web Services Unleashed (SAMS Publishing, 2002), and Web Page Scripting Techniques (Hayden Books, 1996). His next book, Agile Digital Transformation, is due within the next year.

At SOA-focused industry analyst firm ZapThink from 2001 to 2013, Mr. Bloomberg created and delivered the Licensed ZapThink Architect (LZA) Service-Oriented Architecture (SOA) course and associated credential, certifying over 1,700 professionals worldwide. He is one of the original Managing Partners of ZapThink LLC, which was acquired by Dovel Technologies in 2011.

Prior to ZapThink, Mr. Bloomberg built a diverse background in eBusiness technology management and industry analysis, including serving as a senior analyst in IDC’s eBusiness Advisory group, as well as holding eBusiness management positions at USWeb/CKS (later marchFIRST) and WaveBend Solutions (now Hitachi Consulting), and several software and web development positions.