Category: Artificial Intelligence

Learn how the AWS Partner Transformation Program (PTP) agentic AI module was built to help AWS Partners move from idea to deployed solutions faster and with the technical depth and governance frameworks that public sector customers require.

This post introduces Kiro for Life Sciences, a Kiro power package that transforms Kiro into a unified research interface spanning more than 100 databases across 24 scientific disciplines.

Learn how Amazon Web Services (AWS) operates inside a scoped compute environment with an AWS Identity and Access Management (IAM) execution role, network segmentation, and defense-in-depth security meeting FISMA, FedRAMP, and DoD CCSRG standards.

In this blog post, learn how the Registry of Open Data on Amazon Web Services (AWS) has surpassed a major milestone: 1,122 datasets are now freely available to anyone.

This post gives you a practical framework for turning project experience into organizational learning and shows how Amazon Web Services (AWS) AI services accelerate the process.

In this post, Marshall Moutenot shares how dynamical.org is making weather data products, including AI weather forecasts, accessible on AWS.

In this blog post, Sanjeev Pulapaka of AWS explores how agentic AI—deploying multiple specialized agents that understand intent and context—can dramatically accelerate the federal rulemaking lifecycle by addressing its three major bottlenecks: NPRM development, public comment analysis, and final rule clearance.

Learn how BMJ Group has developed an AI-powered editorial assistant designed to help journal editors screen submitted research manuscripts to make better decisions about which papers to send for further peer review, which to reject, and why.

Learn how CloudHedge’s CHAI platform brings together three transformative components: DART (Discovery, Assessment, and Rationalization Tool), Flow Federal Edition, and CHAI Universe Model Context Protocol (MCP). All three components are grounded in the intelligence of Amazon Bedrock.

Learn how AWS Support can be contacted through three channels: web (email), live chat, and phone. Each method will open a support case. AWS addresses support cases based on severity of the reported issue and the human response times for your support tier.