AWS Public Sector Blog
Category: AWS Lambda
Building AI agents for domain-specific classification at scale
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.
Accelerate regulatory package processing with agentic AI on AWS and Databricks
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.
Providing equitable access to NASA’s Earth science data archive
In this blog, learn how NASA’s Earth Science Data and Information System (ESDIS) is migrating over 170 petabytes of Earth science data to AWS to provide equitable access to researchers worldwide, eliminating the “data fortress” problem while achieving significant cost efficiencies through intelligent tiering, serverless architecture, and economies of scale. The post also details how NASA made over 6,000 Earth Science collections visible in the Registry of Open Data on AWS, enabling seamless discovery and analysis for the broader AWS user community.
How the Georgia Data and Analytics Center uses AWS cloud services to drive improved outcomes for constituents
Learn how the GDAC supports over 35 agencies, turning siloed information into the cross-agency insights Georgia’s policymakers need to better serve constituents.
How NWS forecasters use generative AI for innovative storm reporting
Learn how the Generative AI Innovation Center and Amazon Web Services (AWS), the NWS has developed a proof of concept (POC) to assist with extracting weather and geolocation information from text and images so it can verify the information against scientific data and give forecasters an early start as they document impacts.
Campaign reporting transformation at Boise State University Foundation
Learn how the Boise State University Foundation transformed quarterly Microsoft Excel reports into real-time dashboards using Amazon Quick, a 780-fold improvement that fundamentally changed how leadership makes decisions. It extracts actionable insights from a decades-old legacy system while supporting a major comprehensive fundraising campaign.
Prepare for your GovRAMP Progressing Snapshot with AWS
In this post, we explain what the Progressing Snapshot program is, what the program is for, who it is for, and how Amazon Web Services (AWS) helps you lay the foundation to address many of the 40 snapshot controls.
Solving federal log retention requirements with AWS account-level subscription filters
Learn how the Login.gov team implemented a robust long-term log retention system that solved multiple architectural challenges while using Amazon Web Services (AWS) account-level subscription filters to provide capabilities that other approaches couldn’t match.
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.
Evaluating ITAR workloads in US commercial AWS Regions
This post distills how one Amazon Web Services (AWS) customer in the defense and aerospace industry interpreted the U.S. International Traffic in Arms Regulations (ITAR) and concluded that U.S. commercial AWS Regions could support their export-controlled workloads, including AI workloads, when configured appropriately.









