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

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Manage episode 412865168 series 3522664
Indhold leveret af Canonical. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Canonical eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

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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

  continue reading

19 episoder

Artwork
iconDel
 

Arkiveret serie ("Inaktivt feed" status)

When? This feed was archived on October 30, 2025 15:51 (2M ago). Last successful fetch was on October 01, 2024 03:55 (1y ago)

Why? Inaktivt feed status. Vores servere kunne ikke hente et gyldigt podcast-feed i en længere periode.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 412865168 series 3522664
Indhold leveret af Canonical. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Canonical eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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 episoder

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