Top Digital Transformation and DevOps Influencer

Jason Bloomberg

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The Promise and Perils of Machine Learning in the Enterprise

Enterprise leaders need to apply ML like they should all other technologies – deliberately and only when and where it delivers specific, measurable business value.

Several years ago, I lived along the coast and had this fantastic deck. It had this crazy breeze that always seemed to be blowing across it. I loved that deck, except for one thing. It could get very cold.

So, I decided that I needed a space heater to complete my vision of deck-bliss. But I just couldn’t bring myself to buy a space heater like those restaurants used on their patios. It just seemed so, well, unoriginal.

Which is why I was so excited when I found it. I had walked into a hardware store looking for something innocuous and there it was: this interesting, modern and completely unique outdoor space heater. I had never seen anything like it. I bought it on the spot and happily took it home with a Cheshire Cat grin on my face.

Alas, my bliss was short-lived.

It seemed that I wasn’t the only one taken by this new space heater design. Within weeks, they were popping up everywhere — on my neighbor’s decks, in public spaces and, of course, on restaurant patios. To this day, whenever I see one I sigh inwardly and pout a little.

In many ways, this is the same story of technology fads in general — and the rise of machine learning specifically. Like my momentarily unique space heater, machine learning was briefly this unique thing of wonder. But it almost instantly went from unique to commonplace.

Machine learning is now on the tip of every IT executive tongue and spewing forth from every vendor trying to sell those executives, well, anything. But like the plethora of technologies before it, machine learning is no panacea. And like most other over-hyped fads, there is both truth and myth, promise and peril lying just beneath the surface. It’s critical that you can tell one from the other.

Read the entire article at https://www.cio.com/article/3236165/machine-learning/the-promise-and-perils-of-machine-learning-in-the-enterprise.html 

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, ServiceNow and AppDyanmics are Intellyx customers.

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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.