Bringing machine learning to more builders through databases and analytics services

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Machine learning (ML) is becoming more mainstream, but even with the increasing adoption, it’s still in its infancy. For ML to have the broad impact that we think it can have, it has to get easier to do and easier to apply. We launched Amazon SageMaker in 2017 to remove the challenges from each stage of the ML process, making it radically easier and faster for everyday developers and data scientists to build, train, and deploy ML models.