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.

Oct. 26, 2022 — In just 5 years, tens of thousands of customers have tapped Amazon SageMaker to create millions of models, train models with billions of parameters, and generate hundreds of billions ...

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

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.

Amazon Web Services (AWS) adds new multi-model engine capabilities to SageMaker as users continue to unlock hidden value in data.

At its ongoing re:Invent 2023 conference, AWS unveiled several updates to its SageMaker, Bedrock and database services in order to boost its generative AI offerings.

Amazon Web Services Inc. expanded its artificial intelligence portfolio at AWS re:Invent today by launching SageMaker Canvas, a tool that enables business users to create machine learning models ...

I spoke with Bratin Saha, VP and General Manager, Machine Learning Services, AWS, about how the cloud has enabled machine learning, and SageMaker’s ability to ease ML deployment.

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