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Ubuntu AI | S2E5 | All about Ops: DataOps, MLOps, DevOps, AIOps

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The emergence of DevOps has changed the way enterprises handle software delivery processes, leading to faster and improved quality. After DevOps has been coined, other practices such as DataOps, MLOps, and AIOps have emerged. In the podcast, Michelle and Andreea, Data PM and AI Product Managers, respectively, will be discussing the significance of these Ops processes in streamlining and optimizing enterprise data, machine learning, and AI projects and use cases.

Learn more about our solutions here: https://ubuntu.com/ai

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19 episodes

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Fetch error

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Manage episode 412865168 series 3522664
Content provided by Canonical. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Canonical or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Send us a text

The emergence of DevOps has changed the way enterprises handle software delivery processes, leading to faster and improved quality. After DevOps has been coined, other practices such as DataOps, MLOps, and AIOps have emerged. In the podcast, Michelle and Andreea, Data PM and AI Product Managers, respectively, will be discussing the significance of these Ops processes in streamlining and optimizing enterprise data, machine learning, and AI projects and use cases.

Learn more about our solutions here: https://ubuntu.com/ai

  continue reading

19 episodes

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