Category: Generative AI

In this post, we explore how the combination of a modern AWS Cloud architecture, streaming media, and AI technologies are evolving the Intelligence, Surveillance, and Reconnaissance (ISR) landscape, establishing a new era of enhanced mission system capabilities.

Coursera and AWS surveyed more than 750 technology executives across six countries to understand how organizations are balancing automation, human expertise, and infrastructure modernization as they prepare for an AI-driven future. The survey reveals a clear insight: As organizations move toward AI-driven operations, success begins with the cloud.

This post examines real-world examples of successful national AI programs, explores the hidden economics that make AWS Cloud infrastructure essential, and discusses why cultural sovereignty matters as much as technical capability. Whether you’re planning a national AI strategy or evaluating infrastructure options, these lessons from global leaders will help you avoid common pitfalls and focus resources where they matter most.

This post examines how Nanyang Polytechnic (NYP) and NCS—an AWS Generative AI Competency partner and part of AWS Generative AI Innovation Center (GenAIIC) Partner Innovation Alliance (PIA)—reshaped asynchronous learning through an AI Tutor Assistant. The solution enhances student learning while reducing lecturers’ preparation time by 80%, demonstrating the transformative potential of generative AI in education.

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.