Category: Government

Federal agencies use AWS and the AWS Partner Network to deliver complex systems efficiently and effectively. Digital engineering (DE) has emerged as a game-changing approach to addressing these challenges. We recently sat down with Christopher G. Finlay, VP of engineering at the Science Applications International Corporation (SAIC) Innovation Factory, to discuss how digital engineering is transforming the federal space and accelerating mission success.

The eighth annual AWS Imagine conference for education, state, and local government leaders kicked off in Chicago today. Taking place in the Windy City for the first time, attendees will partake in a day-and-a-half of programming that explores how education and government customers can innovate on behalf of those they serve. Kim Majerus, AWS Vice President of Global Education and US State and Local Government, delivered the keynote address, which focused on how AWS is helping reframe, retrain, and reenergize public sector organizations. Read this post to learn more about some of the highlights from today’s keynote.

The Center for Digital Government and the Center for Digital Education (CDG/CDE) and AWS Champions Awards honor AWS customers who are setting new standards for innovation in the public sector. Curated by the CDG/CDE, this annual awards program recognizes visionary public and private sector organizations across state and local government (SLG), K–12, and higher education that are using the power of cloud computing to deliver better, faster, and more inclusive services.

As NATO member countries review their defense needs, technology innovators are transforming the landscape of solutions that national security and defense agencies can consider to address complex threats. In this post, we’ll explore how strategic partnerships between cloud providers like AWS and defense innovators can unlock the full potential of these disruptive technologies for NATO and its member countries.

In this post, we highlight how two United States Environmental Protection Agency (EPA) leaders are reimagining EPA’s mission delivery with intelligent document processing (IDP), powered by AWS.

Federal agencies are using cloud-based tools to increase productivity, reduce resource use, and improve their ability to efficiently serve the public. This article highlights the pioneering leaders forging new paths into cloud-based government.

United States Customs and Border Protection (CBP) is using cloud computing, generative AI and machine learning to secure US borders and address complex challenges. On a panel at the AWS Summit 2025 event in Washington, DC, two of CBP’s technology leaders discussed how the agency is combating border issues using cloud technology. In this post, we explore the key points and insights shared by the CBP technology leaders.

In this post, you will learn how AWS technologies support the entire autonomous system lifecycle from AI-powered design and virtual prototyping in pre-deployment, to edge computing through services like AWS IoT Core and AWS IoT Greengrass and related solution guidance like Tactical Edge Application Deployment on AWS and Cloud Edge Global Access (CEGA) during deployment, through real-time mission operations, and finally to post-mission evolution using secure over-the-air updates and predictive maintenance.

Many public sector agencies consist of multiple departments, each with their own functions. This can introduce administrative delays when processing incoming requests due to challenges such as needing to manually route the ever-growing volume of paperwork to the correct destination. This blog explores how Amazon Bedrock can be used to address these challenges by classifying documents based on their key topics and appropriately distributing them. In particular, we will focus on improving the efficiency of the freedom of information (FOI) request process, but this solution can be applied to various public sector use cases.

This significant growth in military unmanned aerial vehicles, which serve as a proxy for the broader autonomous systems market, underscores the urgent need for scalable, secure, and efficient software deployment solutions. As the number of autonomous platforms increases, so does the complexity of managing their software systems. In response to this growing challenge, Shield AI and AWS have collaborated and successfully demonstrated a scalable architecture and proof of concept (PoC) that addresses challenges often seen when deploying autonomy software and machine learning algorithms onto autonomous systems.