Category: Artificial Intelligence

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.

When industrial equipment fails, engineers need fast access to the process knowledge locked in Piping and Instrumentations Diagrams (P&IDs), and AI agents can help. Unplanned downtime is a costly challenge in industrial operations. Much of the process knowledge needed to diagnose and resolve issues is encoded in P&IDs, which document equipment specifications, process flows, and […]

This blog explains what the AI- Driven Development Lifecycle is and why it can help you drive faster application development using AI in a well governed and controlled way.

Manufacturing leaders today face challenges: supply chain disruptions, skilled labor shortages, sustainability pressures, and the constant need to optimize operations while maintaining quality. In this rapidly evolving landscape, the convergence of agentic artificial intelligence (AI) and digital twin technology on Amazon Web Services (AWS) is emerging as a solution that drives operational excellence across manufacturing […]

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.

In this post you will discover the benefits and use cases for VPC connected workflows, the steps to configure a VPC endpoint, practical walkthroughs for common scenarios, and how VPC security controls apply to workflow traffic.