AI 101: What’s the difference between DevOps and MLOps?

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Welcome back to the AI 101 series where we demystify the basics of Artificial Intelligence (AI) to help you better understand basic AI concepts. We hope these videos help you start to apply AI to your organization’s strategy. Join us as we continue to explore the foundations of AI.

In our second video in the series, Prasanth Anbalagan (Senior Principal Technical Marketing Manager for AI) will share the differences and similarities between DevOps and MLOps.

In the comments section, please let us know future topics we should cover in AI 101.

  1. Red Hat
  2. Red Hat
  3. ai
  4. devops
  5. mlops
  6. OpenShift
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Good video overall. I would make one correction in stating that in traditional software, the code should stay the same and will not de-grade. I agree with the concept, however this is why regression testing should be a standard. You also will see regressions in load testing quite often as well.

garyshaffer
Автор

It's simple and nice explanation.

deepudeepak