Category: Public Sector

Learn more about the Technology Readiness Experimentation (T-REX) 26-1 exercise at Camp Atterbury, Indiana, validated this approach in December 2025, demonstrating real-time monitoring, predictive analytics, and automated optimization across 20 technologies operating simultaneously.

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 more about the Digital Research and Curation Center (DRCC), the group within the Sheridan Libraries that builds and manages digital infrastructure for open scholarship, migrated DSpace to the cloud with Amazon Web Services (AWS).

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.

In this post, we share how Scouting America used this AI assistant to transform youth enrollment.

In this blog, learn how governments adopt the cloud for national security and defense in Asia-Pacific.

In this post, we share the winning projects, lessons learned, and how the experience continues to shape participants’ cloud careers at the Columbia X Amazon Bedrock Innovation Challenge.

This blog discusses the AWS Health Equity Initiative, a commitment to supporting organizations developing solutions to advance health equity worldwide.

In this post, we explore how federal agencies can accelerate modernization, improve cybersecurity incident response, and support continuous compliance monitoring using Datadog’s FedRAMP High authorized observability and security platform.

In this post, I outline a governance framework that addresses these problems through features of Amazon Bedrock AgentCore. By following the practices outlined here, you can gain confidence to run your agentic AI workloads in highly demanding situations.