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

By 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 enabling AI in manufacturing.

What you'll learn:

Design 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 operations

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

• Format: Hardcover
• Language: English
• ISBN: B0FP1KV5B2
• ISBN13: 9798999336637
• Release Date: August 2025
• Publisher: Umda Publishing
• Length: 330 Pages
• Weight: 1.65 lbs.
• Dimensions: 1.1" x 6.0" x 9.0"