Category: Generative AI

The Presidential AI Challenge is a nationwide initiative for educators and K-12 students to develop AI-powered solutions for real-world problems in their communities. With a January 20, 2026, deadline quickly approaching, now is the time to transform your idea into an impactful project. Whether you’re building a working prototype or crafting a detailed proposal, this guide breaks down exactly what you need to do to get your submission ready—specifically focusing on using PartyRock, the AWS no-code generative AI playground powered by Amazon Bedrock.

Each year, AWS provides AWS Imagine Grant winners with a holistic package of resources: unrestricted funding, AWS computing credits, and expert technical guidance to move their projects forward. Our three award categories are designed to support organizations at every stage of their cloud journey. This year—for the first time—our winner cohort spans six countries across three continents, with our inaugural nonprofit recipients in Canada, Australia, and New Zealand. Read this post to explore this year’s winning projects.

When a University of Arizona associate professor needed to build a cross-disciplinary research team of women researchers for a new initiative, identifying the right experts seemed daunting. With thousands of faculty members spread across hundreds of departments, what would have traditionally required weeks of searching outdated websites and disconnected databases was completed in minutes through Knowledge Map (KMap), an AI-powered research platform developed by the University of Arizona and built on AWS.

This blog post explores how the Alabama Department of Revenue (ALDOR) and the Wisconsin Department of Revenue (Wisconsin DOR) are using AWS applications and services to modernize their contact centers to improve resilience, reduce costs, and scale support for the communities they serve.

In this blog post, you will learn how Weill Cornell Medicine used generative AI to build a secure, searchable interface for its historical medical archives and unlock new research opportunities while preserving the integrity of these one-of-a-kind materials.

Read this post to learn how Loyola Marymount University worked with AWS to develop a secure, course-specific tool called the AI Study Companion, which has earned strong faculty approval while providing students with the support they need at substantial cost savings compared to commercial alternatives.

This post explores how prompt engineering—the art of effectively communicating with AI—can help educators guide their students in building powerful educational tools using PartyRock.

In this blog post, we demonstrate how public sector organizations can overcome the challenges that emerge when integrating Amazon Redshift and other AWS relational databases with Amazon Bedrock. You’ll learn how to utilize enterprise data to generate AI-powered analytical insights by using natural language queries through Amazon Bedrock Agents and Amazon Bedrock Knowledge Bases. This custom solution enables seamless connectivity between your structured data sources and generative AI applications, eliminating the need for data duplication and significantly reducing development effort.

In this era of rapid technology adoption, higher education institutions face a considerable challenge. They must adopt AI to drive value for their own organization, while also fulfilling their core mission—preparing students for an AI-integrated workforce. Read this post to learn more.

With support from the AWS Imagine Grant, the Legal Aid Society of Westchester County developed a client database program that revolutionizes how public defenders manage cases, review evidence, and protect constitutional rights. As a result, LASW’s legal teams were able to serve their clients better and advance justice reform. Read this post to learn more.