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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

On VMworld day one, VMware goes deep on multicloud virtualization

Agility is the essence of the software-defined data center. As the longtime pacesetter in this market, VMware Inc. has built an agile solution portfolio that lets customers deploy virtual machines, containers and other virtualization technologies into a wide range of private, public, …

As VMworld nears, virtualization disrupts the cloud application ecosystem

Platform virtualization has traditionally involved abstracting application access to hardware resources, such as compute power, storage drives, random-access memory and I/O bandwidth. The next evolutionary step is to move up the stack, virtualizing application access to software resources, especially runtime engines, algorithm …

Ahead of VMworld, virtualization confronts the cloud

Virtualization is an inexorable process under which applications become progressively more abstracted and independent from the underlying platforms on which their services execute. It’s the foundation for software-defined data centers that span hybrid multiclouds. It enables flexible partitioning, aggregation and composition of …

How ‘AIOps’ is optimizing cloud computing up and down the stack

Artificial intelligence workloads are consuming ever greater shares of information technology infrastructure resources. AI is also taking up residence as an embedded component for managing, monitoring, scaling, securing and controlling IT infrastructure. Increasingly, this emerging IT management paradigm goes by the name …

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