AWS Public Sector Blog
Category: Artificial Intelligence
AWS expands its support of ARPA-H Sprint for Women’s Health performers
AWS provides innovative health researchers with the agility, adaptivity, and resilience they need to accelerate their research. Because of this, AWS expanded the scope of its commitment to Advanced Research Projects Agency for Health (ARPA-H) Sprint for Women’s Health performers to include its Spark funding track awardees. These awardees focus on transformative early-stage research in women’s health.
Amazon to launch second Secret Cloud Region in 2025
Amazon today announced it will launch its second Secret Cloud Region in 2025. The new AWS Secret-West Region will be accredited to support workloads up to the U.S. Secret classification level. With two regions accredited at the Secret level, defense and national security customers and partners can deploy multi-Region architectures, achieving even higher levels of resiliency and availability essential to their critical missions and enabling AI innovation.
Why government health agencies worldwide are selecting AWS to transform patient care
Healthcare systems around the world are facing unprecedented challenges, from addressing chronic conditions to supporting aging populations and addressing emerging health threats, and it has become unmistakably clear that technology is no longer just a support function—it’s a force-multiplier that can transform health outcomes. At AWS, we’ve witnessed a remarkable shift as health agencies worldwide increasingly choose cloud computing to drive innovation, enhance research capabilities, and ultimately, improve patient outcomes.
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.
Customizing isolated JupyterLab environments in Amazon SageMaker Studio
This post demonstrates how to enhance security and compliance in an isolated SageMaker JupyterLab environment by implementing two key customizations: configuring download restrictions and implementing secure Python package installation through AWS CodeArtifact.