AWS for Industries

Thousands of biomedical research papers are published every day, and no single researcher can keep pace without automated analysis. For researchers in genomics and biotechnology, staying current means manually reading through dozens of dense PDFs, extracting relevant findings about genetic variations, biomarkers, and disease associations one paper at a time. It’s slow, error-prone, and ultimately limits how much literature a researcher can realistically incorporate into their work. When the goal is discovering life-saving treatments, that bottleneck matters.

To build such a self-evolving loop for Autonomous Network Operations, agentic systems must react to network events, drive an investigation loop, remember context, learn how its operator works, and coordinate across unique tools and workflows, so the system comes back with progress instead of another workflow to restart. This blog will focus on the persistent and self-learning aspects of the Agent system.

In this post, we describe how the Division of Digital Psychiatry at Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School built mindLAMP, an open source digital psychiatry platform running on Amazon Web Services (AWS). Now deployed at 65 sites across 17 countries, mindLAMP enables continuous patient monitoring, digital phenotyping, and AI-augmented clinical workflows—all powered by serverless AWS infrastructure that a small academic group can operate without a dedicated site reliability engineering team.

In this blog, learn how on-prem HSMs can be replaced by AWS Payment Cryptography which is a fully managed, cloud-native payment cryptographic service designed to help customers meet PCI PIN Security, PCI P2PE, PCI DSS requirements and regional requirements such as Cartes Bancaires, France’s national card payment network and Australia Standard 2805 (AS2805).

Surface Mount Technology (SMT) polarity programming defines how a polarity-sensitive component feeds from tape reel or tray to the pick-and-place machine, designed to help maintain correct orientation on the Printed Circuit Board Assembly (PCBA). Get it right, and boards run clean. Get it wrong by 180°, and downstream systems (Automated Optical Inspection (AOI), X-ray, In-Circuit […]

In this blog, learn how Morningstar designed the agentic orchestration, enforced guardrails, enabled comprehensive audit trails for a regulated environment, and deployed a production system that keeps the advisor in control while automating the research-to-action workflow.

In this post, you will learn how to sequence a post-merger cloud foundation so that governance is established before workloads land, and how pre-close design compresses the integration timeline from quarters to days.

In this post, we deliver the implementation blueprint. We walk through the complete reference architecture built on Amazon Web Services (AWS), break down the layer service topology, detail the multi-agent orchestration pattern using Amazon Bedrock AgentCore and the Strands Agents SDK.

Earlier this year, we announced the Agentic Shopping Assistant on AWS, a generative AI-powered solution that helps retailers give online shoppers the kind of expert guidance they would get from a knowledgeable in-store associate. The Agentic Shopping Assistant on AWS brings the expertise and insights behind Amazon’s successful Alexa for Shopping AI assistant to retail customers.

In this post, you will learn how to build a governance harness in days, and what engineering and Governance, Risk and Control (GRC) teams gain from it.