Category: Artificial Intelligence

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.

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.

DeepSeek-R1 is now available as a fully managed model in Amazon Bedrock, freeing up your teams to focus on strategic initiatives instead of managing infrastructure complexities.

As the weather improves in the Northern hemisphere, there are more opportunities to learn and connect. This week, I’ll be in San Francisco, and we can meet at the Nova Networking Night at the AWS GenAI Loft where we’ll dive into the world of Amazon Nova foundation models (FMs) with live demos and real-world implementations. […]

Amazon Bedrock Data Automation streamlines the extraction of valuable insights from unstructured multimodal content (documents, images, audio, and videos) by providing a simplified way to build intelligent document processing and media analysis solutions, while offering both standard and custom output configurations through blueprints.

I have fond memories of the time I built an application live at the AWS GenAI Loft London last September. AWS GenAI Lofts are back in locations such as San Francisco, Berlin, and more, to continue providing collaborative spaces and immersive experiences for startups and developers. Find a loft near you for hands-on access to […]

Claude 3.7 Sonnet hybrid reasoning model is Anthropic’s most intelligent model to date excelling at coding and powering AI agents. It is the first Claude model to offer extended thinking—the ability to solve complex problems with careful, step-by-step reasoning.

AWS Developer Day 2025, held on February 20th, showcased how to integrate responsible generative AI into development workflows. The event featured keynotes from AWS leaders including Srini Iragavarapu, Director Generative AI Applications and Developer Experiences, Jeff Barr, Vice President of AWS Evangelism, David Nalley, Director Open Source Marketing of AWS, along with AWS Heroes and technical […]