Category: Artificial Intelligence

How long would it take to update the Python runtime versions across 500 AWS Lambda functions running across an organization’s cloud environment? For the two-person cloud team at Loyola Marymount University (LMU), it used to take two months to inventory, scan, remediate, test, validate, and push to production. Today, it takes just half a day […]

Every day, the Anne Arundel County, Maryland, Office of Community Engagement and Constituent Services receives hundreds of resident concerns by phone, online, and even in handwritten letters. These aren’t routine inquiries but complex problems, such as zoning disputes, permitting questions, and other issues that residents have escalated to the highest levels of county government. Staff […]

Government agencies are facing a cybersecurity challenge. Traditional security information and event management (SIEM) systems generate thousands of alerts on a daily basis, overwhelming security operations center (SOC) analysts who spend countless hours manually investigating incidents. Studies show that 70% of alerts turn out to be false positives. This reactive approach creates critical vulnerabilities: alert […]

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 […]

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 […]

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.

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.

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.

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.