Category: Artificial Intelligence

At California Community Colleges (CCC), administrators estimate that nearly one in five applications is fraudulent. That creates a difficult choice for the college system, whose core mission is to make higher education as accessible as possible. To intelligently and thoughtfully flag fraud at scale without restricting students’ ability to apply, the CCC turned to Amazon Web Services (AWS) and AWS partner, Pariveda Solutions, to develop a solution. In this blog post, you will learn how CCC and Pariveda built a machine learning (ML)-powered fraud detection and prevention solution that helps identify and manage fraudulent accounts before they reach the campuses.

PartyRock, an Amazon Bedrock playground from Amazon Web Services (AWS), makes creating artificial intelligence (AI) applications simple and engaging—even if you have never written a line of code. With just a few steps, you can build your own AI assistant to help with homework, share with friends, or spark new creative ideas. Read this post to learn more.

The new AWS whitepaper “Health Data Marketplace: Driving Data Strategy in Multi-Cloud Health Systems” introduces Health Data Marketplaces as a health data strategy and a fresh architectural approach designed to help healthcare organizations decouple value creation from operational complexity. The Health Data Marketplace concept enables a “search, shop, and serve” experience for datasets, insights, and AI applications—allowing clinicians, researchers, regulators, and life sciences partners to collaborate on trusted data assets across multiple clouds.

In this post, we explore how a graph-based student assessment system powered by AWS services can bring automation, accuracy, and adaptability to the standards-alignment process. With this modern approach, EdTech platforms can deliver scalable, standards-compliant, and personalized learning experiences across K12 learning environments.

Netsmart, an industry-leading healthcare IT platform organization, serving the human services, post-acute care, payers, public sector, physical therapy, and rehabilitation communities, became the first designated Qualified Health Information Network (QHIN) built entirely on serverless, cloud-first technology in August 2025—and it did so with Amazon Web Services (AWS) technology.

Libraries are a treasure trove of knowledge, but finding what you need—especially in vast digital collections like the ones housed at Northwestern University Libraries (NUL)—isn’t always straightforward. That’s why the university chose AWS to help them build a new, multilingual, generative artificial intelligence (AI) powered search tool—one that makes its expansive collections more accessible, intuitive, and inclusive for all.

Today, on National Child Health Day, AWS is proud to announce the recipients of the 2025 AWS Imagine Grant Children’s Health Innovation Award (CHIA). This year’s cohort recognizes nine leading healthcare, research, and humanitarian organizations who are using AWS to realize a common vision: creating a world where every child has the opportunity to thrive through innovative solutions that predict, prevent, and address health challenges.

AWS collaborated with the Virginia Army National Guard (VA ARNG) for Cyber Fortress 2025, an exercise that brought together government agencies, public utilities, and academia to strengthen critical infrastructure defense through collaborative training. Read this post to learn more.

AWS is expanding its Skills to Jobs Tech Alliance to Tennessee, which becomes the sixth state in the alliance. Through a strategic collaboration with the Nashville Innovation Alliance, this partnership aims to address middle Tennessee’s growing technology talent demand, with particular emphasis on AI and cloud computing skills, where tech job postings have increased by 35 percent between 2020 and 2023, with an estimated 8,000 open technology positions across the region.

In this post, we walk through three solutions that allow AWS GovCloud (US) workloads to securely connect into the Amazon Web Services (AWS) commercial partition to perform inference with Amazon Bedrock. Each approach comes with different trade-offs, and by the end you’ll have a clear view of which path might be right for your organization.