AWS Public Sector Blog

Public sector agencies are rapidly adopting foundation models (FMs) and large language models (LLMs) to streamline operations, improve service delivery, and make data-driven decisions. From chat assistants assisting citizens to AI tools summarizing reports and automating approvals, these technologies are transforming public service delivery.

This post examines what’s working in production with a focus on Europe, the Middle East, and Africa (EMEA), the safety challenges the industry must confront, and how Amazon Connect Health by Amazon Web Services (AWS) brings purpose-built agentic AI to healthcare.

On October 1st, the teacher assistant was launched as Sanna by Sanoma Learning in selected European markets, including Finland, Sweden, the Netherlands, Belgium, Poland, Italy and Spain.

In this post, we look at why these three make up the AWS CAF-AI perspectives EdTech leaders should mature first, and what building each one looks like in practice.

At the University of Arizona (U of A) College of Medicine – Phoenix, a translational neuroscience lab of eight researchers is pursuing a mission to find and repurpose existing drugs as potential treatments for rare pediatric disorders. Working with Amazon Web Services (AWS), the team connected four AWS services into an integrated research pipeline, using generative artificial intelligence (AI) and specialized foundation models to turn raw sequencing data into insights that help identify promising drug candidates. In this post, learn how the lab is using generative AI to expand its research capacity with its current members to pursue scientific breakthroughs for a patient population that is often overlooked.

The Amazon Web Services (AWS) Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on AWS. AWS works with data providers to democratize access to data by making it available to the public.

In this post, we demonstrate RareDx, an agentic AI-powered application prototype, built on Amazon Bedrock AgentCore, Amazon Web Services (AWS) purpose-built AI services and open source toolkits for Healthcare and Life Sciences. RareDx guides physician geneticists through the entire diagnostic journey; from the first referral letter to the final insurance-coded report.

Learn how with Amazon Bedrock Knowledge Bases, you build an assistant that grounds answers in your trusted documents through Retrieval Augmented Generation (RAG).

This post introduces the Governed Intelligence Framework (GI Framework), giving you a defensible path from AI spending to quantifiable value without compromising governance rigor. Built on Amazon Bedrock by Amazon Web Services (AWS) as the implementation solution, the framework rests on a single argument: ROI, governance, and token optimization form a reinforcing system. None of them deliver results in isolation.

Colorado State University Global (CSU Global), a 100% online, accredited nonprofit university, set out to take on this opportunity by collaborating with Muzzy Lane, an educational technology company that supports instructional designers to design and deliver roleplay assessments directly in their learning management system (LMS). Muzzy Lane’s Author platform is powered by Amazon Bedrock, which supports its AI capabilities and protects customer data. By using Author, CSU Global designed its high-stakes roleplay assessments for its Bachelor of Science (BS) in Human Services program.