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

As machine learning moves into the mainstream, business units across organizations will find applications for automation, and AWS is trying to make the development of those bespoke applications ...

At its re:Invent conference, AWS CEO Andy Jassy today announced the launch of SageMaker Studio, a web-based IDE for building and training machine learning workflows. It essentially wants to be a ...

As AWS CEO Andy Jassy put it while introducing the new service on stage at re:invent, “Amazon SageMaker, an easy way to train, deploy machine learning models for every day developers.” ...

Dr. Matt Wood, director of machine learning at AWS, said at the AWS Summit in New York that SageMaker is bringing streaming algorithms as well as batch job improvements to SageMaker.

When AWS launched SageMaker Studio back in December, we weren't super impressed. But we promised to take a closer look. Here it is.

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 ...

Amazon Web Services (AWS) unveiled a new machine learning service dubbed SageMaker to make the technology available to everyday developers.

Amazon SageMaker adds a data science studio, experiment tracking, production monitoring, and automated machine learning capabilities ...

While SageMaker already makes machine learning more accessible, AWS Chief Andy Jassy said SageMaker Studio is a "giant leap forward." ...