Category: Industries

Eighteen months ago, most boards were asking leaders whether they were moving fast enough on AI. Today the question is harder: are our AI investments generating business value? Across industries, AI budgets have grown faster than the value leaders can point to, and education is no exception. Education technology (EdTech) and education leaders are spending aggressively on AI, and many struggle to tie that spend to outcomes. The numbers bear this out: McKinsey’s Enterprise AI FinOps Survey (May 2026) found that 93 percent of organizations were exceeding their AI budgets, as spend moves from isolated pilots to enterprise-wide adoption.

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.

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 Forseti, a public safety technology company, built the Honest Assessment Response Tool (HART) to meet survivors in that moment. Running on Amazon Web Services (AWS), HART digitizes on-scene domestic violence risk screening, connects survivors to services in real time, and gives state agencies population-level visibility into intimate partner violence patterns.

Learn how Amazon PreDepart has successfully met the technical requirements of the Universal Postal Union (UPU) TechCert Programme for information technology integration and interoperability with UPU technology.

Learn what Amazon Web Services (AWS) and Eastern Switzerland University of Applied Sciences (OST) are now tackling together as part of a new collaboration under the AWS Cloud Innovation Lab program.

In this post, we describe how ITHAKA and Amazon Web Services (AWS) collaborated to build an on-demand PDF accessibility pipeline that remediates documents when users need them, serving researchers while using nonprofit resources responsibly. For organizations managing a large document collection under accessibility compliance deadlines, this post shows there is an affordable, practical path forward that doesn’t require converting an entire library upfront.

The Adolescent Brain Cognitive Development (ABCD) and HEALthy Brain and Child Development (HBCD) studies, the largest longitudinal brain development studies in U.S. history, are producing transformative insights, but the data driving those discoveries require greater security and have grown so large that many research teams struggle to access and analyze them.

This post shows how public sector and enterprise teams can build an agentic AI-powered classification system on Amazon Web Services (AWS) using the Strands Agents SDK, Amazon Bedrock, and serverless services. You will learn the architecture, the agent workflow, and how to implement this system using the Strands Agents SDK.

Learn how the GDAC supports over 35 agencies, turning siloed information into the cross-agency insights Georgia’s policymakers need to better serve constituents.