AWS Public Sector Blog
Category: Public Sector
5 pillars to stabilize your AI product development strategy
In this blog, learn how five durable pillars—full-stack builders, parallel decision-making, context as a competitive moat, disciplined prioritization, and trust at AI speed—can stabilize your AI product development strategy amid rapid technological change. Drawn from the AWS Product Acceleration team’s work with AI-native product leaders, these principles help organizations cut through the noise and convert AI-driven speed into real customer value rather than chaos.
How AWS is helping federal agencies lead in quantum computing and post-quantum security
This blog explains how AWS is supporting federal agencies on two fronts following recent White House Executive Orders on quantum technology: delivering fault-tolerant quantum computers through its collaboration with QuEra Computing on Amazon Braket by 2028, and leading the migration to post-quantum cryptography (PQC) to protect against future quantum-enabled attacks before the 2030–2031 federal deadlines.
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.
MARS-E to ARC-AMPE: Guide for state Medicaid agencies on AWS
This post is for two audiences. The first is agencies already running MARS-E-compliant workloads on AWS that are looking to map their existing posture onto the new framework. The second is agencies planning a migration from on-premises infrastructure where ARC-AMPE will be in scope from the first day.
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.
Modernizing border control with digital arrival cards on AWS Cloud
Learn how Somapa Information Technology PCL (SomapaIT), an AWS Partner, chooses Amazon Web Services (AWS) Cloud to implement DAC systems because of its global footprint, security, high availability, and scalability.
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.
How the University of São Paulo is transforming how researchers access greenhouse gas data for the Amazon rainforest with AWS
Learn how researchers in the University of São Paulo Research Center in Greenhouse Gas Innovation (RCGI) greenhouse gas (GHG) program saw an opportunity to develop a system that enabled close monitoring of the forest using data systems and data spaces in the cloud. They created Digital Amazon, a distributed data space network with open access that integrates CO2 and greenhouse gas emissions data collected by the university with other data sources to support critical and timely climate action and intervention in the Amazon Forest.
From Resilience to Innovation: Ukraine’s Digital Transformation
Learn how Amazon has committed more than $150 million to support the people of Ukraine. That commitment spans cloud infrastructure, workforce development, humanitarian aid, and direct technical partnerships with government agencies, commercial companies, nonprofits, and communities.
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.









