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Amazon Web Services Inc. isn’t stopping at transforming Amazon SageMaker into a unified platform for artificial intelligence development tools. It’s equally determined to make it easier for builders ...

At last year’s AWS re:Invent conference, Amazon’s cloud computing unit launched SageMaker HyperPod, a platform for building foundation models. It’s no surprise, then, that at this year’s re:Invent, ...

With Studio, Autopilot, and other additions, Amazon SageMaker is now competitive with the machine learning environments available in other clouds When I reviewed Amazon SageMaker in 2018, I noted that ...

At re:Invent 2022, the cloud services provider updated its managed machine learning service to include new notebook and governance features. Amazon Web Services on Wednesday added new features to its ...

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Amazon Web Services on Tuesday announced SageMaker Studio, a fully-integrated development environment for machine learning. A web-based IDE, SageMaker Studio allows you to store and collect all things ...

Amazon SageMaker Feature Store delivers a purpose-built data store for storing, updating, retrieving, and sharing machine learning features Amazon SageMaker Pipelines gives developers the first ...

Amazon SageMaker Debugger provides real-time monitoring for machine learning models to improve predictive accuracy, reduce training times, and facilitate greater explainability Amazon SageMaker Model ...

It takes massive amounts of data to train AI models. But sometimes, that data simply isn’t available from real-world sources, so data scientists use synthetic data to make up for that. In machine ...