AWS for Industries

WellRithms achieved 30 times faster bill processing by combining AWS services with its deep medical billing expertise. This blog post explores how the company transformed document preparation from a manual constraint into a scalable, AI-powered capability, and the results they achieved.

Texas Capital Bank is a full-service financial services firm headquartered in Dallas, Texas, serving commercial, consumer, and institutional clients. Its technology organization builds internal platforms across several areas, including document intelligence for lending. Processing a commercial loan package is slow, manual work: an analyst reads a 200-plus-page package and extracts financial obligations, servicing requirements, and covenant terms by hand, a task that can take hours per package and is easy to get wrong.

Read how the 2026 AWS Life Sciences Symposium, the Clinical Trials track brought a shift into focus that’s well underway. Six global life sciences leaders—Novartis, Merck (with BCG), Novo Nordisk, Labcorp, Eli Lilly, and Bayer—took the stage to demonstrate what AI in drug development looks like in practice across every stage of a clinical trial.

In this post, you’ll learn how Best Buy transformed their network over many phases and years, and how the latest iteration uses a segment matrix constructed with Cloud WAN’s advanced routing policy to improve security, flexibility, and contain costs simultaneously.

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.