AWS Public Sector Blog
Category: Generative AI
Accelerating government innovation: Amazon Bedrock models get FedRAMP High and DoD IL-4/5 approval in AWS GovCloud (US)
In today’s rapidly evolving security landscape, the technological edge isn’t just an advantage—it’s a necessity. We’re thrilled to share a milestone that will transform how our government customers harness the power of artificial intelligence (AI): AWS is the first cloud provider to achieve FedRAMP High and Department of Defense (DoD) Cloud Computing Security Requirements Guide Impact Level 4 and 5 authorizations for Anthropic’s Claude and Meta’s Llama AI foundation models.
Highlights from the 2025 AWS Summit Washington, DC keynote
Cloud infrastructure expansion, agentic AI advancement, and national security initiatives took center stage today during the keynote of the AWS Summit Washington, DC. The annual gathering in the nation’s capital showcased the continued commitment of AWS to public sector innovation and digital transformation.
A year of progress: AWS update on the $50 Million Generative AI Impact Initiative for public sector
Last year, AWS launched the AWS Public Sector Generative Artificial Intelligence (AI) Impact Initiative, a two-year, $50 million investment designed to help public sector organizations accelerate innovation using AWS generative AI services. Today, we’re excited to share the remarkable progress we’ve made and highlight how organizations are utilizing AWS technologies to transform operations and deliver better outcomes for the communities they serve.
Four steps government agencies can take to achieve meaningful modernization
Drawing on the extensive experience AWS has in partnering with public sector organizations worldwide, here are four transformative steps agencies can take to drive meaningful modernization and shape the future of government service delivery.
How to estimate Amazon Bedrock costs for public sector applications
As state and federal organizations increasingly explore generative AI implementations using Amazon Bedrock, they face a critical challenge: accurately estimating the costs associated with these workloads. In this post, we cover details about estimating costs on Amazon Bedrock.
AWS HealthLake launches in the EU: Unlocking the future of interoperability and FHIR-based innovation
We’re excited to announce the expansion of AWS HealthLake to the EU (Dublin) Region, marking a significant milestone in our commitment to supporting healthcare organizations across the European Union (EU). Read this post to learn more.
AWS Health Data & AI Day Dublin 2025: EHDS implementation and healthcare innovation
On June 24, 2025, Amazon Web Services (AWS) will welcome healthcare professionals to our Dublin offices for AWS Health Data & AI Day—a full-day event focused on the European Health Data Space (EHDS) and the transformative potential of artificial intelligence (AI) in healthcare. The event will bring together healthcare leaders, technical experts, and innovators to explore how secure, standardized, and interoperable data sharing can improve healthcare delivery and patient outcomes across Europe.
Enhancing public safety operations with Amazon Bedrock
In this post, we discuss a noise complaint solution that uses an Amazon Bedrock Agent to serve as an intelligent interface between citizens and the computer-aided dispatch (CAD) system.
North Carolina Division of Employment Security modernizes customer services with generative AI on AWS
Building on an eight-year cloud transformation journey with AWS, The North Carolina Department of Commerce’s Division of Employment Security (NCDES) is launched one of the first generative artificial intelligence (AI)-powered, public-facing solutions in the state: an intelligent virtual assistant that helps individuals navigate the unemployment insurance claim application process. Read this blog post to learn more.
Discover how nonprofits can utilize no-code machine learning with Amazon SageMaker Canvas
In this post, we explore how Amazon SageMaker Canvas can make machine learning accessible and actionable for nonprofit organizations. We highlight key features that allow your nonprofit to harness the power of machine learning without data science expertise or dedicated engineering teams.