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Responsibly Deploy AI in Production with Anupam Datta

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Conteúdo fornecido por Machine Learning Archives - Software Engineering Daily. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Machine Learning Archives - Software Engineering Daily ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

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.

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175 episódios

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iconCompartilhar
 
Manage episode 308340010 series 1433944
Conteúdo fornecido por Machine Learning Archives - Software Engineering Daily. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Machine Learning Archives - Software Engineering Daily ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

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

175 episódios

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