AWS for Industries

Agentic blockchain-based payments are poised to transform in-vehicle driving experiences. As vehicles become increasingly connected and autonomous, they are evolving from passive transportation tools into active economic agents capable of conducting their own financial transactions [see HBR Article, 2021]. Imagine your car automatically paying for highway tolls, electric charging sessions, parking fees, or even purchasing […]

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, you learn how to implement metadata-filtered RAG for multi-entity document search using Amazon Bedrock Agents and Amazon OpenSearch Service.

Learn how to architect an end-to-end pipeline that processes surgical video at the edge for de-identification, instrument detection, and surgical phase recognition—while using the cloud for model training and fleet management.

This two-part series explores how ontology-grounded agentic AI transforms Design Failure Mode and Effects Analysis (DFMEA) for safety-critical automotive components — from the strategic imperative driving adoption to the architectural patterns and implementation details. In this post, we focus on: How AI can help with DFMEA, how engineering ontologies enable AI to reason for failure mechanisms rather than pattern-match, and what engineering leaders should prioritize today.

In this post, we explore how modern, cloud-based ETRM solutions, like PCI’s ETRM, can help energy leaders better manage portfolio risks and navigate volatile markets with confidence.

This blog explains how multi-agent AI systems can automate the reasoning chain between supply chain data and action—closing the gap that control towers leave open by translating natural language questions into SQL queries, performing root cause analysis, and generating execution-ready materials in seconds rather than hours.

​​​​​​​AWS is building the infrastructure for programmatic advertising’s shift to agentic AI where autonomous agents plan campaigns, orchestrate models, and optimize bids across the full funnel. Today, the bidstream processes billions of decisions daily, each within milliseconds, relying on rule-based heuristics and lightweight models constrained by real-time latency budgets and CPU-only infrastructure. That constraint is […]

Real-time bidding has revolutionized digital advertising—every time a user browses a website, streams a video, or opens a mobile app, split-second auctions determine which ad appears. Ad buyers (demand-side platforms (DSPs)) and ad sellers (supply-side platforms) (SSPs)) transact millions of times per second, operating in a petabyte-scale, millisecond-latency world where even minor delays erode performance […]