AWS is launching more capabilities in both Amazon Bedrock and Amazon SageMaker AI to make building custom models easier.

AWS is changing the cost equation for enterprises weighing up where to put AI infrastructure for processing sensitive data.

LAS VEGAS, Nov. 30, 2023 — At AWS re:Invent, Amazon Web Services, Inc. (AWS) announced five new capabilities within Amazon SageMaker to help accelerate building, training, and deployment of large ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

The AWS Generative AI Competency highlights Artisan's ability to help organizations across Retail, CPG, Manufacturing, Automotive, and Logistics/Transportation accelerate innovation and unlock ...

AWS today announced a new machine learning service, Amazon SageMaker Canvas. Unlike its existing machine learning services, the target audience here isn’t highly technical data scientists and ...

Amazon SageMaker Canvas expands access to machine learning by providing business analysts the ability to generate more accurate machine learning predictions using a point-and-click interface—no coding ...

Amazon SageMaker HyperPod reduces time to train foundation models by up to 40% by providing purpose-built infrastructure for distributed training at scale Amazon SageMaker Inference reduces foundation ...