AI is reshaping industrial operations—but only for organizations that know how to deploy it at scale. Industrial leaders are under unprecedented pressure: volatile demand, fragile supply chains, aging assets, tightening regulation, and a widening skills gap on the frontline. While artificial intelligence has been discussed in industry for years, most initiatives stall at pilots—failing to deliver sustained impact on safety, reliability, cost, and service. AI-Powered Operations is a practical field guide for turning artificial intelligence and generative AI into durable operational advantage. Rather than focusing on algorithms in isolation or abstract digital strategy, this book connects where AI creates value in industrial operations with how it must be designed, governed, and embedded to scale responsibly. It addresses the full journey—from data and architecture foundations to operating model redesign and vendor evaluation—grounded in real operational use cases across maintenance, reliability, quality, production, planning, and supply chain. You will learn: Where AI and generative AI can deliver measurable impact across core operational domains - What data, architecture, integration, and governance foundations are required to scale beyond pilots - How to redesign roles, workflows, and decision rights so AI improves outcomes—not complexity - How to navigate the rapidly evolving industrial AI vendor landscape with discipline - Why many AI programs fail due to “quality gaps,” and how to close them end-to-end Drawing on industry practice, market signals, and lessons from large-scale deployments, this book provides a clear, pragmatic framework for leaders who must move from AI ambition to execution. AI-Powered Operations is not a technology catalog or a theoretical manifesto. It is a guide for building AI-enabled operations that perform—safely, reliably, and at scale.