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ML platform teams, features stores, versioning in data pipelines, and where MLOps extends DevOps with Aurimas Griciūnas and Piotr Niedźwiedź

ML Platform Podcast

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MLOps Platform Team and Data Platform Team?

Data platform and ML platform teams both provide the same thing, but to different stakeholders. And that thing is a framework and a platform to work against so that we can implement their day to day and then lifecycle more easily. But let's say, given the machine learning platform team, that could be a framework in a form of template repositories. This is a very popular way of implementing MLOps frameworks. So you prepare a repository template that a team can then pull and work in it.

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