Category: Public Sector

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.

The number of K-12 educators who use artificial intelligence (AI) is growing quickly, with many turning to AI assistants for timely and reliable insights into student performance. By eliminating administrative tasks and simplifying data analysis, these emerging tools enable teachers to focus on what matters most: supporting student growth. In the 2025-26 school year, Otus, a leading K-12 student data and assessment solution, will empower 1,165 administrators and 8,579 educators to maximize outcomes for over 106,000 students with its assistant. Putting AI into everyday practice helps these districts capitalize on the reliable data foundations they already have in place and integrate the information into effective classroom strategies.

Pearson Clinical Assessments, a leader in psychological and educational testing, saw an opportunity to use cloud technology to transform how clinicians assess and support students. Working with AWS, Pearson developed two solutions: the Digital Assessment Library for Schools (DALS) and Revibe, an artificial intelligence (AI)-powered wearable technology designed to enhance focus and attention. The goal was clear: to help time-pressed clinicians work efficiently while still serving each student as an individual.

EDHEC Business School is transforming their students’ learning experience through an innovative partnership with Amanote AI, powered by AWS. The solution delivers personalized, 24/7 academic support while maintaining high education standards. This collaboration showcases how educational institutions can harness AI to enhance learning while maintaining academic integrity and pedagogical excellence. Read this post to learn more.

The YMCA of Greater New York serves more than 400,000 New Yorkers who learn, grow, and thrive through programs and services at 24 branches across the city. Among the YMCA’s most critical offerings are swim lessons that teach life-saving water safety skills to over 20,000 participants annually. Through the AWS Imagine Grant program, the YMCA developed an online application to digitize swim skill tracking and measure program impact at scale.

This post provides a five-step actionable approach that government agencies can follow to create an effective Cloud Center of Excellence (CCoE).

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.

Knowledge graphs (KGs) and large language models (LLMs) are transforming biomedical research, but ensuring artificial intelligence (AI) outputs are trustworthy and evidence-based remains challenging. At the recent AWS and NVIDIA Open Data knowledge graph hackathon, teams of researchers tackled this challenge by developing innovative solutions that combine knowledge graphs with graph-based retrieval-augmented generation (GraphRAG). Read this post to learn more.

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.

Although traditional weather forecasting methods have served us well, they often require substantial computational resources and time to deliver results. In this post, we explore how Brightband is revolutionizing this field by combining AI with Open Data on AWS to create faster, more accessible, and highly accurate weather forecasting solutions. When data is shared on AWS, anyone can analyze it and build services on top of it. Sharing data in the cloud lets data users such as Brightband spend more time on data analysis rather than data acquisition.