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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

As deep learning frameworks converge, automation possibilities unfold

From a developer’s standpoint, deep learning is usually a hands-on exercise conducted within a particular modeling framework. Typically, a developer has needed to adapt their own manual coding style to interfaces provided by a specific framework, such as TensorFlow, Apache MXNet, Microsoft Cognitive …

Keeping cloud-native DevOps from spinning out of control

Cloud-native computing environments tend to become frightfully difficult to build, provision, monitor and control. This is especially true as more containerized apps are pushed into more distributed clusters that are running on more complex multiclouds. These environments are also quite fragile, as …

At Build, Microsoft delivers AI to mainstream software developers

Microsoft Corp. put the convergence of artificial intelligence and cloud at the center of this year’s Build, its annual conference for software developers. As emphasized in keynotes, breakouts, and demonstrations on the expo floor in Seattle, Microsoft’s goal is to “bring artificial …

Get ready for application modernization, Docker style

Containerization is eating software everywhere. Containers — simple, portable wrappers for applications — today are driving change in all major technology platforms, from the data center to the cloud to the Internet of Things. As both a beneficiary and catalyst of this …

Optimizing your application architecture at the ‘federated edge’

Optimizing applications for the sprawl we call the Internet of Things is a daunting challenge. To craft high-performance IoT apps, developers need a federated environment that distributes algorithmic capabilities for execution at IoT network endpoints, also known as “edge devices.” Federation is …

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