AWS for Industries

This blog post shows you how to design an architecture that receives CME Group MDP multicast data on AWS, then deploy and configure the solution with setup steps.

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.

Learn how Exact Sciences, a leading provider of cancer screening and diagnostic tests, has transformed its bioinformatics infrastructure by utilizing AWS HealthOmics.

In this blog post, we demonstrate how to build a serverless supply chain management solution tailored for automotive customers using AWS AppSync (a managed GraphQL service) and Amazon Aurora Serverless (an on-demand, auto-scaling relational database). This solution addresses common challenges in managing parts inventory, orders, and shipments by using a fully serverless, GraphQL-based approach.

Defining physical AI beyond digital intelligence Physical AI represents a transformative evolution in artificial intelligence, extending beyond purely computational systems, to intelligent agents that perceive, reason, and interact directly with the physical world. Unlike traditional AI systems that process information in digital domains (such as chatbots or recommendation engines), physical AI embeds intelligence in systems […]

Learn more about AWS’s commitment to supporting nonprofit organizations through cloud technology, helping mission-critical healthcare systems achieve greater impact through modernization.

In today’s rapidly evolving industrial landscape, digital transformation is no longer optional; it is essential. This blog post explores how AVEVA and its strategic partnership with AWS are reshaping industries and driving the next generation of industrial innovation. AVEVA: A Cornerstone of Industrial Software Founded in 1967 and now a subsidiary of Schneider Electric, AVEVA […]

Learn about the general availability of Amazon Bio Discovery, a unified application that closes the experimental loop between your dry and wet lab, enabling you to collaborate more efficiently with your computational colleagues, compress discovery cycles, and make faster, more confident decisions about which candidates to advance.

When you order a book on Amazon, that book is often printed after you place the order. Amazon Books Print on Demand (POD) runs 19 manufacturing sites across North America, Europe, Asia, and Australia — so tens of millions of titles are always available and printed close to where you are. The operation goes from […]

This blog shows how to build a vendor-agnostic, agentic mediation layer using Amazon Bedrock AgentCore, the Model Context Protocol (MCP), and Strands Agents to create an intelligent mediation fabric that decodes, normalizes, correlates, consolidates, routes, and encodes usage events in real time across any downstream billing system.