Artificial Intelligence in Industry

Artificial Intelligence in Industry: A Professional Guide to How Artificial Intelligence Is Transforming Manufacturing, Energy, and Operations

Every industrial organization is asking the same question: where do we actually start with AI? Not the marketing version - the real one, asked by engineers who need to trust a model before they act on it, technicians navigating a new tool on the floor, and executives who need a business case that still holds up eighteen months later.

This book answers that question honestly. Starting with plain-language foundations - what AI, machine learning, and deep learning actually are, and how a model learns - it moves through Industry 4.0, 5.0, digital twins, and the Industrial Internet of Things before diving into where AI delivers real, documented value: predictive maintenance, quality inspection, and safety monitoring, the three best-proven use cases in industrial AI today.

Nine industries get dedicated treatment, from manufacturing and oil and gas to semiconductor fabrication and pharmaceutical production. Five chapters speak directly to engineers, technicians, operators, managers, and decision-makers. A worked financial example, a one-page project charter, a vendor RFP question bank, and a readiness checklist turn concepts into action.

What sets this book apart: it doesn't oversell. Alongside every success story sits the honest statistic - most AI pilots never scale, and this book explains why, and how to be the exception. Fifty genuine, linked sources back every claim.

For engineers, technicians, managers, and decision-makers who want a realistic, well-sourced understanding of what AI can - and can't - do for the operations that keep the physical world running.