Category: Amazon Bedrock

This post walks through what GeDaC built, the build decisions behind it, and why the pattern generalizes well beyond one lab.

This post shows you how to find those delegation failures in 30 minutes and what to do about them. It builds on the delegation model introduced in the Amazon Bedrock AgentCore companion post and turns it into an audit you can run today. This post also shows you how to enforce the boundaries you find on Amazon Web Services (AWS) with Amazon Bedrock AgentCore Policy, AWS Identity and Access Management (IAM), and Amazon Bedrock Guardrails.

Analysts manually reviewing virtual reams of sensitive documents, looking for one key detail, need a more efficient way to search. They know generative AI must be able to do the job, but what they don’t know is whether they can apply generative AI to law enforcement data. You can, and Amazon Web Services (AWS) offers […]

AI handles triage while analysts handle judgment. And, by coupling automated continuous monitoring with AI system connectivity, recovery time can speed up, resulting in fewer after-hours status calls. Your existing Amazon Web Services (AWS) environment already has access to the capabilities that can make this a reality.

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.

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.

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).