AWS Public Sector Blog
Category: Artificial Intelligence
How MPAC accelerates IT support resolution using generative AI on AWS
MPAC, Ontario’s property assessment expert managing 5.7 million properties, faced mounting pressure on their IT support desk. Routine requests consumed most of the support team’s resources, creating bottlenecks and impacting organization-wide productivity. MPAC needed a round-the-clock IT support solution that maintained stringent security and governance standards for a public sector organization. MPAC’s IT Support Assistant—powered by their custom MPAC Orchestrator platform and Amazon Bedrock on AWS revolutionized its IT support.
AWS: Powering America’s Genesis Mission from day one
This week, the Department of Energy recognized AWS as a supporter of the Genesis Mission, highlighting our work with Idaho National Laboratory (INL) on civil nuclear innovation. AWS had the privilege of joining US Secretary of Energy Chris Wright and national laboratory directors at a roundtable discussion at the White House’s Eisenhower Executive Office Building to discuss this transformational initiative. It’s a recognition of a collaboration already underway—and a validation of the infrastructure and approach America needs to win the race for AI-powered scientific leadership.
Amplifying intelligence in ISR Data: Cloud-native streaming for FMV in an agentic AI era
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 survey reveals how technology leaders navigate cloud and AI transformation
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.
AI that listens: Building educator-centered AI tools on AWS
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.
How Pearson Clinical Assessments transform school mental health services with AWS
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.
Transforming digital learning: How EDHEC Business School and Amanote AI are shaping the future of education
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.
Building national foundation models
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.
Bridging AI and biology: Inside the AWS and NVIDIA Open Data knowledge graph hackathon
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.
How Nanyang Polytechnic’s AI Tutor Assistant is reshaping asynchronous learning
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.









