AWS for Industries

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.

In this post, we introduce four connectivity patterns that represent different approaches to integrating AWS-based workloads with FMIs.

This blog post will detail how Genmab, a leading biotech company, built an automated pipeline on AWS that handles whole-slide images from start to finish, cutting analysis time from hours to under 30 minutes per batch and reducing manual work by 80 percent. We will walk through how Genmab achieved this using AWS services and share the key lessons they learned along the way.

This blog post covers the concepts of network tracing and how it can be implemented across a complex, distributed environment where different teams run applications in separate AWS accounts, using Amazon Virtual Private Cloud (VPC) feature called Amazon VPC Traffic Mirroring.

Learn more about the MyWingstop platform, built on Amazon Web Services (AWS), designed specifically to perform flawlessly during the year’s biggest sports moments, from championship games to tournament weekends.