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

by Ryan Andrew Hill (Author), Jeff Knepper (Foreword by)

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 to enable AI in manufacturing.

What you'll learn:

• Design Common Data Models (CDMs) that unify complex, multi-system data
• Use edge federation for low-latency, on-site decisions
• Build a Unified Data Layer (UDL) that powers analytics and LLMs
• Apply data contracts for quality, security, and compliance
• Deploy Edge Intelligence Hubs and agentic AI/LLM routing
• Connect digital threads/twins to real-time operations

Stop drowning in data. Build an AI-ready architecture that anticipates, adapts, and continuously improves by turning information into measurable results.