The next-generation of AWS SageMaker will make accessing data assets and wide-ranging tools to make the most of them faster than ever.

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.

Amazon Web Services has added a 3D visualization capability to its SageMaker data labeling tool used to build training data sets for machine learning models. AWS said this week its SageMaker data ...

AWS upgraded its SageMaker platform to offer more observability and streamlined functions to make AI model inference and training easier.

AWS has also added a new tool to SageMaker called Amazon SageMaker Model Cards to help data science teams shift from manual recordkeeping.

Organizations that are using Amazon SageMaker to build machine learning models got a few new features to play with Tuesday, including options for data preparation, building ML pipelines, and a feature ...

Cloud giant debuts its most powerful EC2 instances ever and tools to make it easier for enterprises to build their own AI ...

" To support these workloads, many customers already use combinations of our purpose-built analytics and ML tools, such as Amazon SageMaker—the de facto standard for working with data and ...

AWS launched a new service today, Amazon SageMaker Data Wrangler, that makes it easier for data scientists to prepare their data for machine learning training.

The new SageMaker Lakehouse unifies data across data lakes, data warehouses, operational databases, and enterprise applications, making it easy to access and work with data from within SageMaker ...