According to a new press release, “Today at AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com company, announced six new Amazon SageMaker capabilities, including Amazon SageMaker Studio, the first fully integrated development environment for machine learning, that makes it easier for developers to build, debug, train, deploy, monitor, and operate custom machine learning models. Today’s announcements give developers powerful new tools like elastic notebooks, experiment management, automatic model creation, debugging and profiling, and model drift detection, and wraps them in the first fully integrated development environment (IDE) for machine learning, Amazon SageMaker Studio.”

The release goes on, “Amazon SageMaker is a fully managed service that removes the heavy lifting from each step of the machine learning process. Tens of thousands of customers utilize Amazon SageMaker to help accelerate their machine learning deployments, including ADP, AstraZeneca, Avis, Bayer, British Airways, Cerner, Convoy, Emirates NBD, Gallup, Georgia-Pacific, GoDaddy, Hearst, Intuit, LexisNexis, Los Angeles Clippers, NuData (a Mastercard Company), Panasonic Avionics, The Globe and Mail, and T-Mobile. Since launch, AWS has regularly added new capabilities to Amazon SageMaker, with more than 50 new capabilities delivered in the last year alone, including Amazon SageMaker Ground Truth to build highly accurate annotated training datasets, SageMaker RL to help developers use a powerful training technique called reinforcement learning, and SageMaker Neo which gives developers the ability to train an algorithm once and deploy on any hardware.”

Read more at Business Wire.

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