AWS for Industries

Category: Amazon Bedrock

Medical Legal Regulatory Review Orchestration with AI Agents on AWS

Medical Legal Regulatory Review Orchestration with AI Agents on AWS

In this post, we show how a multi-agent AI system built on Amazon Bedrock can accelerate the MLR process. A fleet of specialized AI agents running on Amazon Bedrock AgentCore collaborates to cross-check content against scientific literature, style guides, regulatory codes, and pre-approved claims.

Improving Defect Analysis and Quality Control with AI Diagnostics

How Jabil, Siemens Mendix, and AWS transformed manufacturing diagnostics in four weeks In manufacturing, every production defect means lost revenue, delayed shipments, and potential customer dissatisfaction. For Jabil, a global manufacturer with over 100 facilities across more than 25 countries serving customers in industries like data center infrastructure, healthcare, automotive, and energy, rapid defect diagnosis […]

Building a cloud-based EV charging monitoring platform with real-time AI analytics

Building a cloud-based EV charging monitoring platform with real-time AI analytics

In this post, we share how Iberdrola-BP Pulse in conjunction with GaleoTech, a systems integrator specialized in Internet of Things (IoT) for the energy sector, built EVBrain—a cloud-based platform on AWS that enables real-time monitoring, proactive incident detection, and AI-powered analytics for EV charging infrastructure across Spain.

The Art of the Possible: Building an Intelligent Wealth Management Platform – Part 1

The Art of the Possible: Building an Intelligent Wealth Management Platform – Part 1

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:

How We Built Healthcare AI You Can Trust: The Engineering Behind Amazon Connect Health

How We Built Healthcare AI You Can Trust: The Science Behind Amazon Connect Health

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.

Highlights from the 2026 AWS Life Sciences Symposium: Research and Drug Discovery

Highlights from the 2026 AWS Life Sciences Symposium: Research and Drug Discovery

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.