Artificial Intelligence in Industry: A Comprehensive Guide
A comprehensive guide to artificial intelligence applications across industries, covering automation, analytics, and ethical considerations for industrial transformation. See latest price on Amazon.
Quick facts
Topic: Industry
Tags: Industry, Artificial Intelligence, AI Trends
Length: 347 pages
Best for: Readers who want practical, plain-English AI insights with real-world examples.
Because AI in industry affects efficiency, safety, uptime, and operating margins. Getting the basics right matters long before anyone wheels in the hype machine.
What you’ll learn
Where AI is already being used in industry today — and where the claims are running ahead of reality.
The workflows, systems, and trade-offs behind practical industry use cases, explained in plain English.
Key themes including industry, artificial intelligence, ai trends.
The limits, risks, and awkward questions worth asking before you sign off on the sales pitch.
Who this book is for
Operations directors, industrial engineers, and technology managers exploring AI's comprehensive impact across manufacturing, energy, and supply chains.
What this book covers
A comprehensive guide to artificial intelligence applications across industries, covering automation, analytics, and ethical considerations.
What makes this book distinct
This is the broadest book in the catalogue — covering industrial AI across manufacturing, energy, logistics, and infrastructure. If you want a single volume that maps the whole industrial AI landscape before drilling into a specific sector, this is the starting point.
Not your book? Because of its breadth, each chapter is necessarily concise. Readers wanting deep coverage of a specific industry will benefit from following up with the dedicated titles in this series.
Jonathan HarrisArtificial Intelligence Author & Host of Turing's Torch AI Weekly
Longer-form context from the retired overview page, now folded into the canonical book route.
Problem framing: where this topic gets messy
Industrial settings are messy, physical, and constraint-heavy. The useful question is not whether AI sounds impressive, but whether it can survive contact with real processes. A comprehensive guide to artificial intelligence applications across industries, covering automation, analytics, and ethical considerations. Pages: 347. Because AI in industry affects efficiency, safety, uptime, and operating margins. Getting the basics right matters long before anyone wheels in the hype machine.
Practical outcomes
In practical terms, the aim is simple: you should leave with a more practical sense of adoption, process redesign, and the trade-offs behind industrial AI programmes. That means clearer judgement, fewer lazy assumptions, and a much better sense of where to press further or walk away.
Identify where ai is already being used in industry today — and where the claims are running ahead of reality.
Work through the workflows, systems, and trade-offs behind practical industry use cases, explained in plain english.
Work through key themes including industry, artificial intelligence, ai trends.
Work through the limits, risks, and awkward questions worth asking before you sign off on the sales pitch.
Chapter-level signals
Not a chapter list carved in stone, but the sort of material readers can reasonably expect to work through.
Where AI is already being used
Where AI is already being used in industry today — and where the claims are running ahead of reality.
The workflows, systems, and trade-offs behind
The workflows, systems, and trade-offs behind practical industry use cases, explained in plain English.
Key themes including industry, artificial intelligence,
Key themes including industry, artificial intelligence, ai trends.
The limits, risks, and awkward questions
The limits, risks, and awkward questions worth asking before you sign off on the sales pitch.
What makes this title distinct
This is the broadest book in the catalogue — covering industrial AI across manufacturing, energy, logistics, and infrastructure. If you want a single volume that maps the whole industrial AI landscape before drilling into a specific sector, this is the starting point. Not your book? Because of its breadth, each chapter is necessarily concise. Readers wanting deep coverage of a specific industry will benefit from following up with the dedicated titles in this series.
