Category: Generative AI

How TGS gave 322 geoscientists across seven offices and 15 time zones a trusted, citation-grounded AI support agent built on AWS Quick. Scout cut time-to-solution-discovery from hours to minutes and moved from search to conversation to action, driving organic adoption and about 1,590 productivity days returned.

This post is a technical deep dive. It explains the Sandbox’s multi-tenant isolation model along with its inherited security and cost controls. It then examines two production-grade multi-agent AIOps systems our teams built on top of it, including the LangGraph (an open source multi-agent orchestration framework) state model, Retrieval-Augmented Generation (RAG) design, OpenSearch query patterns, parallel root cause analysis (RCA) with self-falsification, and the human-in-the-loop safeguards that help make agentic recovery safe in production. Code samples are illustrative and simplified for readability.

In this blog post, we explore the next wave of personalization and what it takes to close that gap—not with more screens, but with a fundamentally different operating model for physical retail. New technology brings one-to-one personalization from ecommerce into the physical store. And you can deploy it today.

Every major industrial facility relies on thousands of highly complex technical drawings called Piping and Instrumentation Diagrams (P&IDs) that serve as the DNA of industrial operations. These diagrams show how equipment connects, materials flow, and safety systems protect workers and assets. These diagrams are complex. For example, where 511 industrial P&ID documents may mean 1,397,710 […]

Manufacturers have been using AI and robotics in their operations for years. The question is no longer how these technologies improve operations, it’s how to deploy industrial AI autonomously at production scale without replacing existing infrastructure, locking into a single vendor, or spending years in pilot mode. AWS provides the digital thread foundation, edge-to-cloud infrastructure, […]

In this post, we describe a comprehensive, HIPAA-ready generative AI architecture for healthcare on Amazon Web Services (AWS) using a defense-in-depth approach. By layering compliance controls at multiple distinct levels, this architecture creates a system where no single point of failure compromises patient data protection, and each component that touches ePHI is independently auditable.

In this post, we show how BridgeWise was able to overcome these challenges when developing their wealth AI platform with responsible AI in mind. BridgeWise is a global leader in AI for wealth.

Learn more about Amazon Web Services (AWS) Financial Services Symposium event that took place on May 7, 2026.

When industrial equipment fails, engineers need fast access to the process knowledge locked in Piping and Instrumentations Diagrams (P&IDs), and AI agents can help. Unplanned downtime is a costly challenge in industrial operations. Much of the process knowledge needed to diagnose and resolve issues is encoded in P&IDs, which document equipment specifications, process flows, and […]

This blog is co-written with Shane O’Connor and Kendra Burkholder from Huron. Healthcare providers that are innovative are always striving to deliver exceptional patient experiences while optimizing business operations for speed and cost. Huron Consulting Group (Huron) has developed innovative solutions using the generative AI built on AWS. They are transforming how healthcare providers measure […]