Category: Amazon Bedrock

This is the first post in a two-part series exploring how AWS-native services, including Amazon Bedrock AgentCore, Amazon Neptune Analytics, Strands Agents, and a serverless data pipeline, power three transformative advisor capabilities:

In this blog, you will gain detailed insight into the scientific rigor behind Amazon Connect Health, including our training methods (supervised fine-tuning, reinforcement learning, multi-agent collaboration), how we validate against real-world data (automated and manual evaluation, LLM agentic environments), and the evidence mapping and source tracing we provide for every output to reinforce safety and trust.

In this blog post, learn how at the 2026 AWS Life Sciences Symposium earlier this month, leaders from Sanofi, Genentech, Noetik, Apheris, Bristol Myers Squibb, Memorial Sloan Kettering, and more demonstrated how they’re using agentic AI today to accelerate scientific discovery and improve patient outcomes.

This blog post explains the vision behind how healthcare organizations can move from fragmented data to a connected, AI-ready future with AWS HealthLake

In this blog post, learn how Amazon Bio Discovery enables researchers to access 40+ AI biology models through a no-code interface to design, predict, and optimize drug candidates.

In this blog, learn how Electronic Medical Record (EMR) systems on AWS can evolve from static clinical repositories into the foundation for generative AI in healthcare—through two complementary strategies that extend existing systems with AI services or build on open standards like FHIR and openEHR.

This post shows you how to build an AI-powered investment research platform using the Strands agents -multi-agent framework deployed on Amazon Bedrock AgentCore.

In this blog post, learn more about Chuck Data which is a command-line AI agent for customer data, built by Amperity. It embeds years of customer data expertise and multi-patented identity resolution algorithms.

Amazon Devices engineers needed AI assistance directly in their design tools to accelerate hardware development. But AI agents running locally on engineering workstations had no way to authenticate with AWS services without distributing credentials, creating unacceptable security risks. The Design Technologies team solved this challenge by implementing browser-based authentication that establishes user identity and enables […]

In this post, we’ll unpack what ChatGPT Apps are, why they’ve become a strategic priority for retailers, and how they fit into a broader agentic commerce vision. We’ll also show you why AWS is the ideal back-end infrastructure.