Overview

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 enabling 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.

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Table of Contents

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

Author Information

Ryan has spent more than 25 years helping manufacturers turn complex technology into real-world results. He started his career in the automotive industry, working directly with MES applications, legacy systems, lean accelerators, equipment, PLCs, and HMIs. That hands-on experience gave him a practical understanding of how factories really run, a perspective that continues to shape his work today. Now working as a leader in manufacturing technology consulting, Ryan oversees global efforts in digital transformations involving AI and analytics enablement. His work supports some of the most advanced and demanding manufacturing environments in the world, where clear data and smart systems are key to staying competitive. Throughout his career, Ryan has helped companies in industries including pharmaceuticals, food & beverages, industrial products, and discrete manufacturing. He specializes in applying lean manufacturing practices and his knowledge of manufacturing standards to build scalable architectures that connect legacy factory infrastructure with modern platforms in a cohesive, intelligent framework. His technical focus includes IoT enablement, data modeling, contextualized pipelines, governance frameworks, and emerging AI technologies. What drives Ryan is a belief that data should work for the people who use it. He designs and builds architectures that are built to last, easy to maintain, and ready to grow with the evolving needs of modern manufacturing.

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