AWS announced that Amazon SageMaker Studio now includes Amazon Q Developer as a new capability. This generative AI-powered assistant is built natively into SageMaker’s JupyterLab experience and ...

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.

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 ...

AWS has introduced SageMaker Studio Lab, a free service to help developers learn machine-learning techniques and experiment with the technology. SageMaker Studio Lab provides users with all of the ...

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.

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.

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

AWS expands its widely adopted machine learning service, combining comprehensive data, analytics, and AI capabilities Collaborate and build faster with Amazon SageMaker Unified Studio Today ...

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

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