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At its annual re:Invent conference, AWS today rolled out a slew of new features for SageMaker, the company's managed service for building, training and deploying machine learning (ML) models. Swami ...

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 ...

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 ...

Software supply chain company JFrog Ltd. announced today a new integration with Amazon SageMaker to enable developers and data scientists to collaborate efficiently on building, training and deploying ...

Amazon Web Services on Wednesday rolled out a series of updates to SageMaker, the AWS service that helps customers build, train and deploy machine learning models. The new capabilities are designed to ...

Machine learning has experienced an incredible increase in usage in the past couple of years. In 2017, deploying machine learning models was considered extremely difficult, something only major ...

At the Amazon Web Services re:Invent conference today, AWS CEO Andy Jassy introduced a fully managed, end-to-end machine learning service — SageMaker. The company says SageMaker will enable developers ...