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From Scratch to Success: Building an MLOps Team and ML Platform - Simon Stiebellehner
DataTalks.Club
The Importance of Model Registry in Data Science Platforms
The next thing is persisting the model, making it available for downstream usage. It's something that when you look at ML of Stooling vendors, it's something that you very often see packaged in one SaaS offering. And we talked also a bit about the tools you mentioned, it's possible to do a SageMaker. So there are a bunch of tools like that. After that, after deployment, there is something else, right? It's not the end of the process yet.
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