Manufacturing AI
Ryan Andrew Hill
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
Common Data Models (CDMs)edge federationUnified Data Layer (UDL)data contractsEdge Intelligence Hubsagentic AI/LLM routingdigital threads/twins
Potential outcomes when UMDA is implemented well
Stop drowning in data. Build an AI-ready architecture that anticipates, adapts, and continuously improves by turning information into measurable results.
Duration - 11h 1m.
Author - Ryan Andrew Hill.
Narrator - Brian Arens.
Published Date - Thursday, 16 January 2025.
Copyright - © 2025 UMDA Publishing ©.
Location:
United States
Description:
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 Common Data Models (CDMs)edge federationUnified Data Layer (UDL)data contractsEdge Intelligence Hubsagentic AI/LLM routingdigital threads/twins Potential outcomes when UMDA is implemented well Stop drowning in data. Build an AI-ready architecture that anticipates, adapts, and continuously improves by turning information into measurable results. Duration - 11h 1m. Author - Ryan Andrew Hill. Narrator - Brian Arens. Published Date - Thursday, 16 January 2025. Copyright - © 2025 UMDA Publishing ©.
Language:
English
Opening Credits
Duration:00:00:13
Foreword
Duration:00:04:41
Preface
Duration:00:08:04
Chapter 1: Starting the Data Journey to Smart Manufacturing
Duration:00:23:20
Chapter 2: Foundations of a Common Data Model
Duration:01:13:54
Chapter 3: Data Federation at the Edge
Duration:00:56:53
Chapter 4: Creating a Unified Data Layer
Duration:01:08:36
Chapter 5: The Symphony of Systems
Duration:00:52:47
Chapter 6: Balancing Local Control and Global Alignment
Duration:01:22:30
Chapter 7: Building an AI-Ready, Scalable Architecture
Duration:01:52:32
Chapter 8: Future Trends in Manufacturing Technology
Duration:00:53:51
Chapter 9: Steps to Building an AI-Enabled Manufacturing Enterprise
Duration:01:50:58
Epilogue
Duration:00:12:37
Ending Credits
Duration:00:00:24