The Autonomous Revolution: Artificial Intelligence and the Future of the Automotive Industry
Artificial intelligence drives the automotive industry with self-driving cars, predictive maintenance, and smart manufacturing, reshaping mobility and safety. See latest price on Amazon.
Quick facts
Topic: Transportation
Tags: Transportation, Artificial Intelligence, AI Trends
Length: 324 pages
Best for: Readers who want practical, plain-English AI insights with real-world examples.
Because AI in transportation affects safety, reliability, efficiency, and emissions. Getting the basics right matters long before anyone wheels in the hype machine.
What you’ll learn
Where AI is already being used in transportation today — and where the claims are running ahead of reality.
The workflows, systems, and trade-offs behind practical transportation use cases, explained in plain English.
Key themes including routing, prediction, safety, operations.
The limits, risks, and awkward questions worth asking before you sign off on the sales pitch.
Who this book is for
Automotive industry professionals, mobility planners, and transport policymakers tracking AI's role in autonomous vehicles and smart manufacturing.
What this book covers
A 324-page guide to AI in the automotive industry — autonomous vehicles, predictive maintenance, smart manufacturing, and how artificial intelligence is reshaping personal mobility.
What makes this book distinct
Self-driving cars have been 'five years away' for twenty years. This book cuts through the hype with an honest account of where autonomy actually stands, what has been harder than expected, and what Level 4 deployment in geofenced environments is already proving in the real world.
Not your book? Not a guide to buying or using autonomous vehicles — it's an analysis of the technology, regulatory landscape, and business models. Most useful for anyone trying to understand what's actually happening, not what the press releases say.
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
In transport and mobility, the hard part is not hearing that AI exists. It is deciding where it genuinely improves safety, timing, reliability, and cost without creating fresh operational risk. A 324-page guide to AI in the automotive industry — autonomous vehicles, predictive maintenance, smart manufacturing, and how artificial intelligence is reshaping personal mobility. Pages: 324. Because AI in transportation affects safety, reliability, efficiency, and emissions. 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 clearer feel for where prediction, routing, control, and decision-support are genuinely useful — and where the sales pitch outruns the engineering. 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 transportation today — and where the claims are running ahead of reality.
Work through the workflows, systems, and trade-offs behind practical transportation use cases, explained in plain english.
Work through key themes including routing, prediction, safety, operations.
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 transportation 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 transportation use cases, explained in plain English.
Key themes including routing, prediction, safety,
Key themes including routing, prediction, safety, operations.
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
Self-driving cars have been 'five years away' for twenty years. This book cuts through the hype with an honest account of where autonomy actually stands, what has been harder than expected, and what Level 4 deployment in geofenced environments is already proving in the real world. Not your book? Not a guide to buying or using autonomous vehicles — it's an analysis of the technology, regulatory landscape, and business models. Most useful for anyone trying to understand what's actually happening, not what the press releases say.
A 324-page guide to AI in the automotive industry autonomous vehicles, predictive maintenance, smart manufacturing, and how artificial intelligence is reshaping personal mobility.
Who is this book for?
Automotive industry professionals, mobility planners, and transport policymakers tracking AI's role in autonomous vehicles and smart manufacturing.
How long is it?
It’s 324 pages (varies by edition).
What format is it available in?
Available as an eBook via Amazon (use the buy link on this page).
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