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Podcast: Software Engineering Daily
Episode: Tecton: Machine Learning Platform from Uber with Kevin Stumpf
Description: Machine learning workflows have had a problem for a long time: taking a model from the prototyping step and putting it into production is not an easy task. A data scientist who is developing a model is often working with different tools, or a smaller data set, or different hardware than the environment which that model will be deployed to.This problem existed at Uber just as it does at many other companies. Models were difficult to release, iterations were complicated, and collaboration between engineers could never reach a point that resembled a harmonious “DevOps”-like workflow. To a...