Category: Messaging

This post shows how to build that on Amazon Web Services (AWS) using Amazon Bedrock, deployed in AWS GovCloud (US). You’ll deploy a working multi-agent workload, see how a supervisor coordinates specialized agents through the Converse API in Amazon Bedrock, and learn which AWS GovCloud (US) details break patterns copied from commercial Regions.

Whether it’s checking when the next bus, train, or ferry departs, finding out about a freeway closure, or getting a broken-down car towed off the Bay Bridge, the region’s 511 traveler information service is a critical public resource. Its phone service runs on Amazon Web Services (AWS) using services Amazon Connect Customer and Amazon Lex.

This post describes how Floy built an FM-based AI platform on AWS, from training and inference to clinical integration, that scales to meet the demands of modern radiology.

Amazon Web Services (AWS), through the Open Data on AWS and Amazon Sustainability Data Initiative (ASDI) programs, became a foundational collaborator from the outset, hosting Digital Earth Africa’s data on AWS infrastructure in Cape Town, South Africa, and enabling African users to access and analyze petabytes of satellite data at a speed and scale that would otherwise be out of reach.

Today, AWS GovCloud (US) is the operational backbone of some of the nation’s most critical applications spanning security and defense, energy, public health and financial services. Fifteen years in, and that mission focus still defines everything AWS GovCloud (US) delivers.

In Part 2 of our two-part series, we discuss the architecture of the Signal-Activated Agent Pattern and its application for proactive government AI. For Part 1, see Signal-activated generative AI: How agencies can reach more people and react faster.

This post presents two complementary patterns for implementing per-user token guardrails on Amazon Bedrock from Amazon Web Services (AWS).

This post is a follow-up to our March 2025 blog post, UTHealth Houston’s iDFax transforms medical fax management with Amazon Bedrock, which introduced the iDFax pilot and its early results.

Learn how South Carolina State Library’s Talking Book Services has been putting books into the hands—and ears—of people with print disabilities since 1931. Now, with the help of Amazon Connect, the small team of reader advisors serving 4,200 patrons across the state is making those deeply personal connections easier than ever.

This post shows how public sector and enterprise teams can build an agentic AI-powered classification system on Amazon Web Services (AWS) using the Strands Agents SDK, Amazon Bedrock, and serverless services. You will learn the architecture, the agent workflow, and how to implement this system using the Strands Agents SDK.