This video is continuation of “Automated Production Ready ML at Scale” in last Spark AI Summit at Europe.

In this session you will learn about how H&M evolves reference architecture covering entire MLOps stack addressing a few common challenges in AI and Machine learning product, like development efficiency, end to end traceability, speed to production, etc.

This architecture has been adapted by multiple product teams managing 100”s of models across the entire H&M value chain and enables data scientists to develop model in a highly interactive environment, enable engineers to manage large scale model training and model serving pipeline with fully traceability.

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