Category: Public Sector

This post introduces the Geospatial Power Pack, a Kiro power package that turns Kiro into a unified, AI-assisted geospatial workspace. Kiro is an agentic development environment created by Amazon Web Services (AWS). It helps developers and teams turn prompts into executable specs, validate code correctness to find bugs that unit tests miss, and build across large codebases with parallel agents that learn from every session.

The Amazon Web Servies (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets freely available for analysis, helping researchers and developers worldwide access critical data without cost barriers.

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.

For the more than 2,800 administrators across approximately 1,200 participating institutions in the US, that means access to near daily provided to them through Amazon Quick Sight on Amazon Web Services (AWS) by the eduroam team at Internet2. However, this wasn’t always the case. This post walks through how the eduroam team modernized their data reporting pipeline, the architecture behind it, and the impact it’s had on institutional engagement.

The Adolescent Brain Cognitive Development (ABCD) and HEALthy Brain and Child Development (HBCD) studies, the largest longitudinal brain development studies in U.S. history, are producing transformative insights, but the data driving those discoveries require greater security and have grown so large that many research teams struggle to access and analyze them.

Every major agent framework has a security model for this. Amazon Web Services (AWS), Microsoft, and Google each ship agent solutions with authentication and credential management built in. Amazon Bedrock Agents, for example, enforces AWS Identity and Access Management (IAM)-based authorization on which AWS Lambda functions, Amazon Simple Storage Service (Amazon S3) buckets, and Amazon Bedrock Knowledge Bases an agent might invoke.

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.

Credit unions exist to serve members, not to run data centers. Every hour our team spends on infrastructure is an hour not spent on the question a member actually cares about: “Is my money safe, is my experience easy, and is my credit union on my side?” Moving to a serverless, managed-service foundation on Amazon Web Services (AWS) means our engineers spend their time on membership modeling, fraud analytics, and AI augmentation instead of capacity planning.

Learn how Amazon Web Services (AWS) offers a fundamentally different approach. By deploying agentic AI—specialized AI agents that work collaboratively to analyze, validate, and route documentation—federal agencies can dramatically accelerate conformity processing while maintaining or improving quality and compliance standards.