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

SageMaker is AWS's flagship machine learning solution. Here we take a hands-on look at some of its newest features, rolled out in December.

It’s been close to a decade since Amazon Web Services (AWS), Amazon’s cloud computing division, announced SageMaker, its platform to create, train, and deploy AI models. While in previous years AWS ...

Amazon Web Services on Wednesday unveiled SageMaker Studio Lab, a free version of Amazon SageMaker -- the AWS service that helps customers build, train and deploy machine learning models.

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 includes everything a data ...

Amazon Web Services Inc. has released an improved version of its SageMaker Studio, a development interface that provides access to purpose-built artificial intelligence and machine learning ...

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

Amazon Web Services unveiled a half-dozen new SageMaker services today at its re:Invent conference in Las Vegas. The cloud giant bolstered its flagship AI development tool with new capabilities for ...

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 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 ...