Category: Analytics

Build and optimize large-scale vector databases up to 10 times faster and at a quarter of the cost with new GPU acceleration and auto-optimization capabilities that automatically balance search quality, speed, and resource usage.

Simplify AI experimentation with zero-infrastructure MLflow that launches in minutes, scales automatically, and seamlessly integrates with SageMaker’s model customization and pipeline capabilities.

Access FSx for NetApp ONTAP file data through S3 to enable AI/ML workloads and analytics—letting you use enterprise file data with Bedrock, SageMaker, and analytics services while it remains in your file system.

Train ML models on sensitive collaborative data by generating synthetic datasets that preserve statistical patterns while protecting individual privacy through configurable noise levels and protection against re-identification.

Next week, don’t miss AWS re:Invent, Dec. 1-5, 2025, for the latest AWS news, expert insights, and global cloud community connections! Our News Blog team is finalizing posts to introduce the most exciting launches from our service teams. If you’re joining us in person in Las Vegas, review the agenda, session catalog, and attendee guides […]

Amazon SageMaker Unified Studio introduces new one-click onboarding experiences and serverless notebooks with a built-in AI agent without any manual set up or provisioning of your domain or compute resources. You can launch SageMaker Unified Studio directly from Amazon SageMaker, Amazon Athena, Amazon Redshift, and Amazon S3 Tables console pages, giving a fast path to analytics and AI workloads.

Amazon SageMaker Catalog now offers column-level metadata forms and enforced glossary requirements, enabling organizations to improve data classification, discoverability, and governance through standardized business metadata.

Last week I met Jeff Barr at the AWS Shenzhen Community Day. Jeff shared stories about how builders around the world are experimenting with generative AI and encouraged local developers to keep pushing ideas into real prototypes. Many attendees stayed after the sessions to discuss model grounding, evaluation, and how to bring generative AI into […]