Category: Public Sector

The Australian Epilepsy Project (AEP) is transforming epilepsy diagnosis and care across Australia. The AEP team faced a daunting challenge: processing and analyzing 20-hour magnetic resonance imaging (MRI) workflows for participants and clinicians scattered across the country. Their solution—a serverless, container-orchestrated neuroimaging pipeline on Amazon Web Services (AWS)—has accelerated the delivery of life-changing results to clinicians and patients while reducing costs by over 35%.

What if state Medicaid agencies could streamline their federal funding requests and avoid costly delays that put critical IT modernization projects at risk? An Advance Planning Document (APD) is the formal mechanism through which states request federal funding from the Centers for Medicare & Medicaid Services (CMS) to support Medicaid technology projects. These complex documents […]

Over the past five years, a world-renowned higher education institution has partnered with AWS and AWS Partner EPI-USE to modernize its most critical applications. The result: a serverless, multi-Region, and secure architecture built with the AWS Cloud Development Kit (AWS CDK) that transforms how the institution delivers technology services. This modernization effort revealed six essential best practices that any higher education CIO, CTO, or enterprise architect can implement to strengthen institutional resilience and future-proof their technology infrastructure.

With a smartphone, mGene’s AI technology can analyze facial features to identify subtle indications of genetic syndromes It’s one of medicine’s tragic paradoxes that, collectively, rare diseases have significant impact on human health. The World Health Organization defines conditions affecting fewer than 1 in 2,000 people as rare, and it’s estimated that over 300 million […]

This post shows you how to use Amazon Web Services (AWS) services to meet Federal Risk and Authorization Management Program (FedRAMP) 20x requirements, reducing authorization time from months to weeks through automated compliance pipelines and continuous validation. You’ll learn how to build a trust center, automate vulnerability detection, generate Key Security Indicators (KSIs), and implement […]

Today, Amazon Web Services (AWS) announced two federal credit programs totaling up to $100 million to accelerate innovation in support of America’s most critical national security and scientific missions. The AWS Warfighter Capability Accelerator Initiative and AWS Genesis Accelerator Initiative will each provide up to $50 million in AWS credits over three years (2026-2028) to […]

Working with Amazon Web Services (AWS) and AWS Partner Allwyn, the city of Virginia Beach launched a generative artificial intelligence (AI)-powered conversational search assistant on its public website that helps residents and visitors find answers in plain language, without having to hunt through search results.

Old Dominion University (ODU), in collaboration with Iowa State University, the longtime home of GAMESS development, and with support from Amazon Web Services (AWS), built CPU- and GPU-optimized GAMESS containers and began deploying them on AWS High-Performance Computing (HPC) services. Their work offers a practical roadmap for other institutions looking to bring legacy HPC applications into a modern, cloud-native environment.

Social services agencies serve some of society’s most vulnerable members. Service interruptions don’t just create inconvenience—they can delay essential support. The South Carolina Department of Social Services (SCDSS) faced exactly this challenge. Working with Amazon Web Services (AWS), SCDSS modernized 19 contact centers and two interactive voice response (IVR) systems, transforming how the agency connects with the one in six South Carolinians it serves.

Read this post to learn how Bevar Ukraine collaborated with Amazon Web Services (AWS) to develop Victor, a generative AI-powered virtual assistant designed to scale access to reliable information while preserving a human-centered approach.