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MLOps + DevOps + Kubernetes with Annie Talvasto

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Manage episode 418297564 series 19264
Content provided by Richard Campbell. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Richard Campbell 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.

Machine learning models need updating - what's the reliable way to do it? While in Romania, Richard sat down with Annie Talvasto to talk about her work helping to build DevOps practices around machine learning: Building repeatable processes for data ingestions, cleaning, organization, model building, and deployment. The challenges are the arrays of skilled people needed to operate and evaluate the pipeline - it takes domain experts to know if the machine learning results are accurate and valuable. Tooling can help, but it is only in the early days. If your organization is keen to get machine learning into the company, you need to do some careful planning!

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Recorded April 20, 2024

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969 episodes

Artwork
iconShare
 
Manage episode 418297564 series 19264
Content provided by Richard Campbell. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Richard Campbell 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.

Machine learning models need updating - what's the reliable way to do it? While in Romania, Richard sat down with Annie Talvasto to talk about her work helping to build DevOps practices around machine learning: Building repeatable processes for data ingestions, cleaning, organization, model building, and deployment. The challenges are the arrays of skilled people needed to operate and evaluate the pipeline - it takes domain experts to know if the machine learning results are accurate and valuable. Tooling can help, but it is only in the early days. If your organization is keen to get machine learning into the company, you need to do some careful planning!

Links

Recorded April 20, 2024

  continue reading

969 episodes

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