AWS Public Sector Blog
Category: Generative AI
How NTU FRESH is using AWS to build predictive food safety at scale
In this post, we walk you through how FRESH is translating cloud-enabled analytics into practical tools that support resilient, trusted food systems, starting with a deep dive into dynamic shelf-life modeling. Specifically, we detail how AWS services such as Amazon Simple Storage Service (Amazon S3), AWS Glue, and Amazon SageMaker AI are used to build and train predictive models.
How AWS and a local community organization built a developer engagement model that works
Learn how between Amazon Web Services (AWS) and HUMANBULB, the community organization behind the AWS Sacramento User Group — became a model that other cloud companies and community leaders can replicate. In this post, we share what we built, what we learned, and how other AWS teams and community leaders can apply the same approach in their own cities.
Build an AI-powered form filling assistant with Strands Agents
This post explains how to build exactly that using Strands Agents and Amazon Bedrock. The entire solution runs in about 200 lines of Python code, and you can have it working on your computer after completing the pre-requisite steps.
Secure, AI-driven cloud migration for DoW using CloudHedge
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.
How to effectively use AWS Support for public sector organizations
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.
A governance framework for nonprofit agentic AI on AWS
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.
Integrating subject matter experts into generative AI evaluation with the AWS Generative AI Innovation Center
Learn how the Amazon Web Services (AWS) Generative AI Innovation Center has helped dozens of organizations develop evaluation strategies that bridge this “articulation gap.”
How nonprofits can explore, document, and enhance applications using Kiro
In this blog post, you’ll see how Kiro, an AI-assisted development environment powered by Amazon Bedrock, helps nonprofit technical teams close that knowledge gap from both sides.
Brightpoint uses AWS to build CARA, an AI-powered chat assistant connecting families to critical resources across Illinois
Learn more about CARA – an intelligent, multilingual, and judgment-free digital assistant that makes it easier for families to find and connect with the right support anytime, anywhere.
The transformative impact of generative AI on business workflows in a highly regulated industry
The aerospace industry represents one of the most complex regulatory environments for software development, where system failures can result in catastrophic consequences including loss of human life and multibillion-dollar assets. In this blog post, learn how Blue Origin operates within this framework, in which software systems control every aspect of rocket propulsion, navigation, life support, and mission-critical operations.









