Artificial Intelligence in Sports: Revolutionizing Performance and Fan Engagement
Artificial intelligence enhances sports with performance analytics, injury prevention, and immersive fan experiences, changing athletics and engagement. See latest price on Amazon.
Quick facts
Topic: Sports
Tags: Sports, Artificial Intelligence, AI Trends
Length: 229 pages
Best for: Readers who want practical, plain-English AI insights with real-world examples.
Because AI in sports affects performance, injury risk, tactics, and fan engagement. Getting the basics right matters long before anyone wheels in the hype machine.
What you’ll learn
Where AI is already being used in sports today — and where the claims are running ahead of reality.
The workflows, systems, and trade-offs behind practical sports use cases, explained in plain English.
Key themes including performance analysis, injury prevention, coaching, fan engagement.
The limits, risks, and awkward questions worth asking before you sign off on the sales pitch.
Who this book is for
Sports analysts, performance coaches, and sports technology professionals interested in AI's role in athlete performance and fan engagement.
What this book covers
Artificial intelligence enhances sports with performance analytics, injury prevention, and immersive fan experiences.
What makes this book distinct
Sports AI isn't just about performance analytics — it's increasingly about the fan experience. This book covers both sides: how teams use computer vision and biometric data to give athletes competitive edges, and how broadcasters and clubs are using AI to personalise what fans see, hear, and are sold.
Not your book? If you're a data analyst already working in sports science, some of the performance analytics material will be familiar. The fan experience and commercial chapters are where this book breaks new ground.
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
Sport loves data, but data only matters when it changes decisions around preparation, performance, risk, and fan experience. Otherwise it is just expensive decoration. Artificial intelligence enhances sports with performance analytics, injury prevention, and immersive fan experiences. Pages: 229. Because AI in sports affects performance, injury risk, tactics, and fan engagement. Getting the basics right matters long before anyone wheels in the hype machine.
Practical outcomes
In practical terms, the aim is simple: you should get a sharper picture of how AI affects performance analysis, coaching, injury reduction, and engagement. 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 sports today — and where the claims are running ahead of reality.
Work through the workflows, systems, and trade-offs behind practical sports use cases, explained in plain english.
Work through key themes including performance analysis, injury prevention, coaching, fan engagement.
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 sports 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 sports use cases, explained in plain English.
Key themes including performance analysis, injury
Key themes including performance analysis, injury prevention, coaching, fan engagement.
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
Sports AI isn't just about performance analytics — it's increasingly about the fan experience. This book covers both sides: how teams use computer vision and biometric data to give athletes competitive edges, and how broadcasters and clubs are using AI to personalise what fans see, hear, and are sold. Not your book? If you're a data analyst already working in sports science, some of the performance analytics material will be familiar. The fan experience and commercial chapters are where this book breaks new ground.
