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Red Hat OpenShift Data Science

Putting Open Source ML to work with Intel oneAPI AI Analytics Toolkit and Intel OpenVINO

Published December 2021
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If organizations around the world aren’t betting their entire futures on the promise of AI and machine learning, they are certainly betting large amounts of their budgets for this new and emerging technology.

However, far too many data science and AI projects fail to make it out of the experimental or pilot phase and into production.

This whitepaper outlines what is at stake, the reasons why organizations are failing to “operationalize” AI and machine learning, and how recent trends in mainstream software development and operations can also benefit data scientists and AI developers.