AWS for Industries

In this post, we demonstrate how a large North American Utility is currently running a multi-agent AI architecture on Amazon Bedrock AgentCore to compress alarm triage from hours to minutes, avoiding the manual, multi-system investigation that operators perform dozens of times per shift. We will walk through the industry problem, the multi-agent design, and a reference implementation on GitHub that you can deploy into your own environment.

In this three-part series, we examine how AWS capabilities align with MPA security requirements. Part 1 covers foundational controls such as information security management systems (ISMS), identity and access management, network isolation, encryption, and authorization.

In this blog, we provide a practitioner-focused guide for enabling a new AWS Region in a financial services enterprise AWS environment. We walk through each workstream, from initial governance approval through networking, security, operations, and workload readiness, highlighting the considerations, dependencies, and common pitfalls that teams encounter.

As part of its ongoing commitment to operational excellence, Mary Kay sought to further accelerate the investigation and resolution of routine infrastructure events through AI-powered automation and intelligent orchestration by activating a capability most Amazon Web Services (AWS) Enterprise Support customers already pay for but never use: the AWS DevOps Agent.

In this post, we show how you can use AWS HealthLake to meet CMS-0057-F requirements while building a FHIR data solution that accelerates your broader digital transformation.

For semiconductor companies running Electronic Design Automation (EDA) workloads on AWS, infrastructure availability and performance directly impact chip delivery timelines. A verification regression that fails undetected over a weekend can add days to a tape-out schedule. An unexpected cost spike during crunch can erode confidence in cloud economics. A security incident targeting design IP can […]

Dr. Boris Bogdan, Director of Life Sciences at AWS, addressed the pilot-to-production challenge head on, sharing four strategic differentiators that set successful organisations apart from those stuck in pilot mode.

We are excited to announce resource matching for AWS HealthLake, now available in gated preview. Resource matching is a built-in capability that automatically identifies FHIR resources representing the same real-world entity and links them without modifying or merging the original data.

This blog post introduces a serverless dynamic pricing platform built on Amazon Web Services (AWS) that helps restaurants automatically adjust menu prices based on real-time demand patterns. The solution enables restaurants to maximize revenue during peak hours while attracting price-sensitive customers during slower periods.

Across R&D organizations, AI agents are beginning to design molecules, plan syntheses, execute assays, and analyze experimental data. But these systems often operate without awareness of prior experiments, failed approaches, or parallel work happening across the organization. In this blog, learn how Sanofi recognized this limitation early and partnered with Amazon Web Services (AWS) to reimagine the foundation for AI-enabled discovery.