Manufacturing AI

Building the Data Foundation for the Next Industrial Revolution

By: Ryan Andrew Hill, Jeff Knepper (Foreword by)

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Paperback | 22 August 2025

At a Glance

Paperback
330 Pages

Dimensions(cm)
22.86 x 15.24 x 2.29

Paperback

$59.39

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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.

Industry Reviews

"Ryan has written something rare. In this book he presents a pragmatic, scalable, and deeply considered framework for how manufacturing organizations can actually prepare for the future. It's called the Unified Manufacturing Data Architecture, or UMDA. And whether you're starting from scratch, extending an existing UNS, or migrating from legacy systems, this framework stands on its own.

Ryan has done something few others have. He's named the blind spots before they become disasters. He's documented patterns that most don't notice until it's too late. And he's offered a path forward that's both visionary and grounded. It is technical where it needs to be but never detached from real-world constraints."

- Jeff Knepper, President, Flow Software

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