Manufacturing AI: Building the Data Foundation for the Next Industrial Revolution

Turn Manufacturing Data into a Scalable Competitive AdvantageFactories 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 learnDesign 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 operationsPotential outcomes when UMDA is implemented wellIdentify 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 frictionWho it’s for: Plant leaders, manufacturing engineers, OT/IT architects, data/AI teams, and executives driving Industry 4.0.Stop drowning in data. Build an AI-ready architecture that anticipates, adapts, and continuously improves by turning information into measurable results.PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio. Read more