AWS Public Sector Blog
Category: Public Sector
Democratizing climate data science: How Columbia University’s LEAP center built AutoClimDS on AWS
Columbia University’s Learning the Earth with Artificial Intelligence and Physics (LEAP), a National Science Foundation (NSF) Science and Technology Center, collaborated with AWS to build AutoClimDS, an agentic AI system that researchers with no specialized coding expertise can use to conduct climate data science workflows using natural language. Read this post to learn more.
AWS Marketplace: A catalyst for streamlining healthcare operations and improving administrative efficiency
Healthcare organizations face pressure to innovate rapidly while managing rising costs, addressing workforce shortages, and navigating complex regulatory requirements. At the same time, they must modernize legacy systems, improve patient outcomes, and enhance operational efficiency—all while maintaining the highest standards of security and compliance. The traditional procurement process for healthcare technology has been a significant barrier to innovation. Lengthy contract negotiations, complex legal reviews, and siloed purchasing decisions can delay critical technology deployments by months or years. In an industry where timing can directly impact patient outcomes, this friction impedes necessary progress. AWS Marketplace is helping change this reality.
How Thales issues verifiable credentials at scale for governments using AWS managed services
As it supports government authorities with their digital identity programs, Thales recognized that Amazon Web Services (AWS) managed services can help address these challenges. The company built a production-grade verifiable credentials issuance platform on AWS that serves government customers worldwide, supporting over 300 national digital identity programs. Read this post to learn more.
Accessing commercial AI from AWS GovCloud (US) for your CJIS workloads
Justice and Public Safety organizations require access to the latest foundation models (FMs) available through Amazon Bedrock for mission-critical AI implementations. This post aids with your evaluation of important CJIS compliance considerations that JPS organizations must address when implementing these architectures.
AWS social impact awards accelerate innovation at Columbia
Every year, an estimated 3 million Americans receive home healthcare services. These programs often improve health outcomes, but they also carry risks. Patients may fall, miss medications, or face complications that lead to hospitalization. Researchers at Columbia University’s School of Nursing are exploring how artificial intelligence (AI) could help predict and prevent such events.
How the U.S. Department of the Treasury is using a human-centered approach to scale AI innovation
At the 2025 Amazon Web Services (AWS) Federal AI Conference in Virginia, Paras Malik, the Chief AI Officer at the U.S. Department of the Treasury, joined AWS Global Head of Financial Innovation Michael Greenwald to share how Treasury is taking a human-centered approach to the use of AI tools. Their conversation highlighted lessons other agencies can apply as they explore promoting AI leadership at scale.
Architecting secure AI sandboxes in AWS GovCloud (US)
Organizations operating in AWS GovCloud (US) might require alternative architectural approaches, depending on service availability in their target Region. This post presents an architecture that’s deployable on AWS GovCloud (US) for secure generative AI experimentation using Amazon SageMaker AI, AWS Lake Formation, and Amazon Bedrock.
Why your AI agents give inconsistent results, and how Agent SOPs fix it
How can you use the power of agentic AI but give yourself a more deterministic (or consistent) output? In this post, we show you how Agent SOPs work and explain how you can use them in your agentic workloads.
How Agriculture and Agri-Food Canada built a cloud-based coherence change detection solution with AWS
Monitoring agricultural practices across Canada’s vast landscape is essential for preserving soil health and water quality. To address this challenge at scale, Agriculture and Agri-Food Canada (AAFC) collaborated with AWS to build a cloud-based proof of concept (PoC) solution that processes synthetic aperture radar (SAR) satellite imagery, which can detect changes in agricultural land use and tillage practices.
Bringing agentic AI into spreadsheets for planning tactical electrical power
Teams from AWS, working with Sentient Industries, brought the power of AI directly into Excel spreadsheets. Logistics officers can now type the device description in Excel and have the power specs retrieved from a knowledge base in Amazon Bedrock. Unlike a chat-based solution, the AI directly loads the data into spreadsheet cells, creating a streamlined and efficient user workflow. The AI meets the users where they are, and this capability is now being commercialized by Sentient. Read this post to learn more.









