In this episode, we interview David Aronchick, the first non-founding product manager for Kubernetes and the creator of the Kubeflow project, about the state of the ML industry and what's next.

MLOps Part 3 - The DevOps side of MLOps

Apr 25th, 2021 30m 35s

For the final episode of 3 part series on MLOps, we cover the DevOps side of MLOps. We'll talk about tooling, capacity planning, as well as the roles and responsibilities we see emerging in the field.

MLOps Part 2 - Continuous Delivery

Mar 3rd, 2021 29m 46s

In part 2 of our series on MLOps, we dive into data management, training pipelines, and continuous delivery in an ML world.

MLOps Part 1 - Introduction to MLOps

Feb 20th, 2021 23m 53s

This episode the first of a multi-part series on MLOps, or Machine Learning Operations. We'll dive into what machine learning is, how businesses should approach it, and what you'll need before jumping in.

Replicating DevOps Success

Jul 16th, 2020 26m 37s

Today we talk to Mike Smith, a Principal Sales Engineer at Puppet, about the challenges of replicating DevOps success in one team to the rest of the IT organization. We discuss process, culture, metrics, platform teams, and other topics that he

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