MLOps + DevOps + Kubernetes With Annie Talvasto RunAs Radio podcast

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Innhold levert av Richard Campbell. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Richard Campbell eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

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MLOps + DevOps + Kubernetes with Annie Talvasto

1M ago 33:17

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Innhold levert av Richard Campbell. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Richard Campbell eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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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936 episoder

Artwork

MLOps + DevOps + Kubernetes with Annie Talvasto

published 1M ago

Del

MP3•Episoder hjem

Innhold levert av Richard Campbell. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Richard Campbell eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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

936 episoder

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