Accelerate operational analytics with Amazon Q Developer in Amazon OpenSearch Service

Today, I’m happy to announce Amazon Q Developer support for Amazon OpenSearch Service, providing AI-assisted capabilities to help you investigate and visualize operational data. Amazon Q Developer enhances the OpenSearch Service experience by reducing the learning curve for query languages, visualization tools, and alerting features. The new capabilities complement existing dashboards and visualizations by enabling […]

Enterprises Ignite Big Savings With NVIDIA-Accelerated Apache Spark

Tens of thousands of companies worldwide rely on Apache Spark to crunch massive datasets to support critical operations, as well as predict trends, customer behavior, business performance and more. The faster a company can process and understand its data, the more it stands to make and save. That’s why companies with massive datasets — including
Read Article

AWS Pi Day 2025: Data foundation for analytics and AI

AWS Pi Day, an annual event commemorating the launch of Amazon S3 in 2006, has evolved from celebrating cloud storage milestones to showcasing cutting-edge developments in data management, analytics, and AI. In 2025, we’re focused on unified data foundation for analytics and AI through new capabilities like S3 Tables, SageMaker Unified Studio, and Amazon Bedrock IDE.

Collaborate and build faster with Amazon SageMaker Unified Studio, now generally available

Amazon SageMaker Unified Studio is a single data and AI development platform that brings data together with analytics and AI/ML tools, including Amazon Bedrock and Amazon Q Developer, to streamline analytics and AI application development across virtually any use case.

Amazon S3 Tables integration with Amazon SageMaker Lakehouse is now generally available

Amazon S3 Tables integration with SageMaker Lakehouse enables unified access to S3 Tables data from AWS analytics engines like Amazon Athena, Redshift, EMR, and third-party query engines, to build securely and manage centrally.

AI Maps Titan’s Methane Clouds in Record Time

NVIDIA GPUs powered deep learning to decode years of Cassini data in seconds—helping researchers pioneer a smarter way to explore alien worlds.

Solve complex problems with new scenario analysis capability in Amazon Q in QuickSight

Find solutions to your most critical business challenges with ease. Amazon Q in QuickSight enables business users to perform complex scenario analysis up to 10x faster than spreadsheets.

Announcing the general availability of data lineage in the next generation of Amazon SageMaker and Amazon DataZone

Realize visual traceability of data origins, transformations, and usage – bolstering trust, governance, and discoverability for strategic data-driven decisions.

New Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse

Effortlessly analyze operational data in Amazon SageMaker Lakehouse, freeing developers from building custom pipelines and enabling seamless insights extraction.