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Containers and Kubernetes are proving to be very valuable in helping accelerate Artificial Intelligence (AI) and Machine Learning (ML) lifecycle for organizations worldwide. ExxonMobil, BMW, Volkswagen, Discover Financial Services, Ministry of Defense (Israel), Boston Children’s Hospital, are some organizations have operationalized Red Hat OpenShift, industry leading Kubernetes-based container platform, to accelerate data science workflows, and build intelligent applications. These intelligent applications are helping achieve key business goals and providing competitive differentiation.

In a recent blog, I explained how these emerging cloud-native technologies are playing a vital role in helping solve ML Lifecycle execution challenges, and accelerate the delivery of intelligent applications. You may be thinking…”ok, so where do we start to learn about this topic?”

To help you get started on this journey, we have developed a short video that explains in under three minutes how containers, Kubernetes, and OpenShift can accelerate AI/ML initiatives for your organization. Whether you are working at your desk, driving, riding on a train, walking, or something else, this quick video will do the job for you! As always, feedback is highly appreciated.

 


執筆者紹介

Red Hatter since 2018, technology historian and founder of The Museum of Art and Digital Entertainment. Two decades of journalism mixed with technology expertise, storytelling and oodles of computing experience from inception to ewaste recycling. I have taught or had my work used in classes at USF, SFSU, AAU, UC Law Hastings and Harvard Law. 

I have worked with the EFF, Stanford, MIT, and Archive.org to brief the US Copyright Office and change US copyright law. We won multiple exemptions to the DMCA, accepted and implemented by the Librarian of Congress. My writings have appeared in Wired, Bloomberg, Make Magazine, SD Times, The Austin American Statesman, The Atlanta Journal Constitution and many other outlets.

I have been written about by the Wall Street Journal, The Washington Post, Wired and The Atlantic. I have been called "The Gertrude Stein of Video Games," an honor I accept, as I live less than a mile from her childhood home in Oakland, CA. I was project lead on the first successful institutional preservation and rebooting of the first massively multiplayer game, Habitat, for the C64, from 1986: https://neohabitat.org . I've consulted and collaborated with the NY MOMA, the Oakland Museum of California, Cisco, Semtech, Twilio, Game Developers Conference, NGNX, the Anti-Defamation League, the Library of Congress and the Oakland Public Library System on projects, contracts, and exhibitions.

 
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