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Kubeflow, Cloudflow and the Open Data Hub on Red Hat OpenShift Featuring: Lightbend

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Content provided by The Red Hat X podcast series. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Red Hat X podcast series 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://player.fm/legal.

Lightbend's Karl Wehden will look at the typical decisions you will face as you mature your machine learning enhanced applications and start delivering at scale, on never ending streaming data. What trade-offs are you making when selecting a scoring strategy? What model metadata should you capture? How do you ensure model management and training is scalable and reliable? What should your serving and scoring infrastructure look like? These topics and more in a comprehensive view of how Lightbend and Red Hat are bringing repeatable, reliable, open source machine learning infrastructure to the market.

  continue reading

175 episodes

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Archived series ("Inactive feed" status)

When? This feed was archived on April 10, 2023 06:03 (1y ago). Last successful fetch was on January 17, 2023 18:55 (1+ y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

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 265273050 series 1414202
Content provided by The Red Hat X podcast series. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Red Hat X podcast series 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://player.fm/legal.

Lightbend's Karl Wehden will look at the typical decisions you will face as you mature your machine learning enhanced applications and start delivering at scale, on never ending streaming data. What trade-offs are you making when selecting a scoring strategy? What model metadata should you capture? How do you ensure model management and training is scalable and reliable? What should your serving and scoring infrastructure look like? These topics and more in a comprehensive view of how Lightbend and Red Hat are bringing repeatable, reliable, open source machine learning infrastructure to the market.

  continue reading

175 episodes

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