AWS for Industries
Category: Amazon Bedrock
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.
BridgeWise builds responsible AI in FSI with Amazon Bedrock
In this post, we show how BridgeWise was able to overcome these challenges when developing their wealth AI platform with responsible AI in mind. BridgeWise is a global leader in AI for wealth.
Rethink Everything: Highlights from the 2026 AWS Financial Services Symposium
Learn more about Amazon Web Services (AWS) Financial Services Symposium event that took place on May 7, 2026.
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
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
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 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
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.
FHIR-powered Care Continuum on AWS HealthLake
This blog post explains the vision behind how healthcare organizations can move from fragmented data to a connected, AI-ready future with AWS HealthLake
From code to chemistry: using Kiro to tackle ADME-Tox, a key drug discovery challenge
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.








