Quick facts
- Topic: Manufacturing
- Tags: Manufacturing, Artificial Intelligence, AI Trends
- Length: 369 pages
- Best for: Readers who want practical, plain-English AI insight with real-world examples — without the buzzwords.
Why it matters
Because AI in manufacturing affects quality, uptime, worker safety, and supply-chain resilience. Getting the basics right matters long before anyone wheels in the hype machine.
What you’ll learn
- Where AI is already being used in manufacturing today — and where the claims are running ahead of reality.
- The workflows, systems, and trade-offs behind practical manufacturing use cases, explained in plain English.
- Key themes including predictive maintenance, quality control, automation, supply chains.
- The limits, risks, and awkward questions worth asking before you sign off on the sales pitch.
Who this book is for
Readers who want practical, plain-English AI insight with real-world examples — without the buzzwords.
What this book covers
A 369-page guide to AI in manufacturing — predictive maintenance, automated production, optimised supply chains, and how intelligent operations are reshaping modern industry.
What makes this book distinct
Manufacturing AI is where the conversation stops being abstract and starts hitting uptime, scrap rates, scheduling, maintenance, worker safety, and supply-chain resilience. That makes it a useful place to separate real operational value from vendor theatre.
Not your book? This is not a glossy transformation brochure. It is for readers who want the trade-offs, the workflows, and the awkward questions in plain English.
Get this book
Keep exploring
🏭 Related reading
Move sideways into industry, logistics, construction, and adjacent operational AI titles.
Manufacturing books🎧 Related listening
Turing's Torch AI Weekly covers the broader AI landscape without pretending every dashboard is destiny.
Browse podcast episodes📰 Weekly signal
AI Edge sends the same plain-English editorial line straight to your inbox.
Subscribe freeDeeper overview
Longer-form context from the retired overview page, now folded into the canonical book route.
Why this subject matters
Because AI in manufacturing affects quality, uptime, worker safety, and supply-chain resilience. Getting the basics right matters long before anyone wheels in the hype machine.
What this book covers
A 369-page guide to AI in manufacturing — predictive maintenance, automated production, optimised supply chains, and how intelligent operations are reshaping modern industry.
What you will learn
- Where AI is already being used in manufacturing today — and where the claims are running ahead of reality.
- The workflows, systems, and trade-offs behind practical manufacturing use cases, explained in plain English.
- Key themes including predictive maintenance, quality control, automation, supply chains.
- The limits, risks, and awkward questions worth asking before you sign off on the sales pitch.
FAQ
What will I learn from this book?
This book explains where AI is already being used in manufacturing, the workflows behind those use cases, and the limits worth checking before anyone signs off on the hype.
Who is this book for?
Readers who want practical, plain-English AI insight with real-world examples — without the buzzwords.
How long is it?
It’s 369 pages (varies by edition).
What format is it available in?
Available as an eBook via Amazon using the buy link on this page.
Keep exploring the Jonathan Harris AI library
This page now follows the same discovery path as the stronger ebook templates: title to catalogue, catalogue to podcast, then into the newsletter or topic hubs.