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Responsibly Deploy AI in Production with Anupam Datta

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Inhoud geleverd door Machine Learning Archives - Software Engineering Daily. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Machine Learning Archives - Software Engineering Daily of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

Once a machine learning model is trained and validated, it often feels like a major milestone has been achieved. In reality, it’s more like the first lap in a relay race. Deploying ML to production bears many similarities to a typical software release process, but brings several novel challenges like failing to generalize as expected or model drift.

AI Quality management is the biggest challenge in AI today. In this episode, I interview Anupam Datta, the co-founder at TruEra. TruEra has a solution aimed at helping with AI performance, monitoring, and model explainability. We talk about some of the challenges of modern machine learning deployment in production and how companies are succeeding with ML Ops.

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post Responsibly Deploy AI in Production with Anupam Datta appeared first on Software Engineering Daily.

  continue reading

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iconDelen
 
Manage episode 308340010 series 1433944
Inhoud geleverd door Machine Learning Archives - Software Engineering Daily. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Machine Learning Archives - Software Engineering Daily of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

Once a machine learning model is trained and validated, it often feels like a major milestone has been achieved. In reality, it’s more like the first lap in a relay race. Deploying ML to production bears many similarities to a typical software release process, but brings several novel challenges like failing to generalize as expected or model drift.

AI Quality management is the biggest challenge in AI today. In this episode, I interview Anupam Datta, the co-founder at TruEra. TruEra has a solution aimed at helping with AI performance, monitoring, and model explainability. We talk about some of the challenges of modern machine learning deployment in production and how companies are succeeding with ML Ops.

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post Responsibly Deploy AI in Production with Anupam Datta appeared first on Software Engineering Daily.

  continue reading

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