Turn Manufacturing Data into a Scalable Competitive Advantage
Factories create massive amounts of data from IoT sensors, MES, SCADA, quality systems, supply chain, maintenance, and others. Yet most organizations can’t turn it into decisions fast enough. The result is reactive firefighting and AI pilots that stall.
The Unified Manufacturing Data Architecture (UMDA) is a practical framework built for industry, not adapted from IT. It shows you how to handle real-time streams, integrate legacy systems, enforce security, and scale AI across sites.
What you’ll learn
Design Common Data Models (CDMs) that unify complex, multi-system dataUse edge federation for low-latency, on-site decisionsBuild a Unified Data Layer (UDL) that powers analytics and LLMsApply data contracts for quality, security, and complianceDeploy Edge Intelligence Hubs and agentic AI/LLM routingConnect digital threads/twins to real-time operations
Potential outcomes when UMDA is implemented well
Identify failure patterns earlier and plan maintenance proactivelyCatch quality drift in real time and reduce scrap/reworkSynchronize planning with live constraints for fewer schedule breaksShorten time-to-value by standardizing data and integrationsShare proven improvements across sites with less friction
Stop drowning in data. Build an AI-ready architecture that anticipates, adapts, and continuously improves by turning information into measurable results.
