Enabling end-to-end machine learning pipelines in real-world applications

The O’Reilly Data Show Podcast: Nick Pentreath on overcoming challenges in productionizing machine learning models.

By Ben Lorica
June 20, 2019
Maze Maze (source: Eluj via Pixabay)

In this episode of the Data Show, I spoke with Nick Pentreath, principal engineer at IBM. Pentreath was an early and avid user of Apache Spark, and he subsequently became a Spark committer and PMC member. Most recently his focus has been on machine learning, particularly deep learning, and he is part of a group within IBM focused on building open source tools that enable end-to-end machine learning pipelines.

We had a great conversation spanning many topics, including:

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