Opinion

The Overpromise of End-to-End ML Platforms: Why One-Size-Fits-All Solutions Don’t Always Work

The Importance of Customization and Flexibility in Machine Learning Infrastructure

Christian Freischlag
Towards Data Science
4 min readDec 7, 2022

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DALL·E - A illustration of a vendor lock in costing a company too much money

In the recent year, my inbox was flooded by MLOps companies trying to sell their one-size-fits-all infrastructure. But not only…

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