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.

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 Unified Studio brings together tools from other AWS services, including the existing SageMaker Studio, to help customers discover, prepare, and process data to build models.

The new web-based interface for Studio serves as a central point for launching all of SageMaker’s tools allowing machine learning developers to build, train, fine-tune and deploy models.

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. Designed ...

The new SageMaker Unified Studio makes it easy for customers to find and access data from across their organization and brings together purpose-built AWS analytics, machine learning (ML), and AI ...

With Studio, Autopilot, and other additions, Amazon SageMaker is now competitive with the machine learning environments available in other clouds ...

At the recent re:Invent conference, Amazon Web Services (AWS) announced Amazon SageMaker Studio, an integrated development enviornment (IDE) for machine learning (ML) that brings code editing ...

Informatica INFACore promises to simplify the creation of data pipelines for building and deploying machine learning models in Amazon SageMaker Studio.