Red Hat SummitRed Hat has been instrumental in driving many open source community efforts around artificial intelligence and machine learning (AI/ML) technologies for more than 6 years through the Open Data Hub project. Open Data Hub is a fully open project that supports end-to-end AI/ML workflows running in containers on Red Hat® OpenShift®, a Kubernetes-powered application platform. Many organizations have used some of the technologies curated in the Open Data Hub project—such as Jupyter, TensorFlow, Pytorch, Kubeflow, and Ray—to jumpstart their own do-it-yourself efforts aimed at creating a core data science platform to build intelligent applications.
In addition to working closely with the open source community, Red Hat has responded to numerous requests to offer a paid and supported version of Open Data Hub. This has resulted in Red Hat OpenShift Data Science, a powerful platform for building, deploying, and monitoring AI/ML models and applications across on-premise, public cloud, and edge environments.
Red Hat continues to invest in Open Data Hub and refine the upstream technologies it continues to curate on Red Hat OpenShift, while building out experimentation and MLOps capabilities that feed into OpenShift Data Science.
In this webinar, we’ll take you through how to get the most out of open source AI, introduce you to OpenShift Data Science, and provide a roadmap for planned future investments by Red Hat for AI on Red Hat OpenShift.
Our webinar topics include:
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Open source AI: Best practice guidance on taking advantage of these technologies
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Where Red Hat will focus its future efforts around Open Data Hub
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How a commercial version can help offload the curation and integration of these technologies from you to Red Hat
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Some best approaches to adopting OpenShift Data Science while maintaining your current open environment
Live event date: Tuesday, June 27, 2023 | 10 a.m. ET
On-demand event: Available for one year afterward.
You'll definitely want to register for this Webinar.
And if you're interested in AI topics from Red Hat Summit, check out these lessons learned from AI/ML projects.
About the author
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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