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James Kobielus

James Kobielus is @theCUBE and Wikibon lead analyst for AI, data, data science, deep learning and application development. Previously, Jim was IBM Corp.'s data science evangelist. He managed IBM's thought leadership, social and influencer marketing programs targeted at developers of big data analytics, machine learning and cognitive computing applications. Prior to his five-year stint at IBM, Jim was an analyst at Forrester Research, Current Analysis and the Burton Group. He is also a prolific blogger, a popular speaker and a familiar face from his many appearances as an expert on theCUBE and at industry events.


Latest from James Kobielus

Networked digital twins are coming to industrial blockchains

Industrial designers grapple with complexities at every scale and level of detail. They provide the blueprints for everything from sprawling megaprojects all the way down to the ordinary process control mechanisms that are invisible to most of us. In the 21st century, …

What will it take to bring blockchain to the masses?

Blockchain is all the rage, but for the most part, it has barely begun to enter the mainstream of enterprise computing. Nevertheless, blockchain now has considerable momentum in many industries. To confirm that, all you need to do is check out recent …

Big-data stewardship takes the main stage at DataWorks Summit in Berlin

Big-data repositories hold much of the world’s personally identifiable data. Many data management professionals are now laser-focused on the European Union’s General Data Protection Regulation or GDPR, which will take effect in little over a month and will place strict data-stewardship mandates on any enterprise …

AI powers the catalogs of next-generation big data

Data’s relevance doesn’t always jump out at you. It takes work to distill useful insights from enterprise data lakes that are increasingly too large, diverse and dynamic to be explored through entirely manual methods. Discoverability and visibility are what unlocks data’s value. …

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