Quick facts
- Topic: Sports
- Tags: Sports, Artificial Intelligence, AI Trends
- Length: 229 pages
- Best for: Readers who want a grounded, non-technical view of AI in Sports, including coaches, analysts, operators, and fans who want the practical view.
How AI is reshaping sports
It covers the main use cases, the workflow and data changes behind them, the claims worth taking seriously, and the governance questions that show up once AI starts steering decisions in Sports.
From performance decisions in sports to human judgement, edge cases, and competitive trade-offs.
- ► Where AI is already being used in sports today — and where performance data meets human nerves.
- ► The serious implementation view covers performance data, tactics, and nerves.
- ► Key themes including performance analysis, injury prevention, coaching, fan engagement.
Built for people who know the numbers can help in sports, but not more than the humans making the call.
Who this book is for
- Curious readers who want a grounded view of Artificial Intelligence in Sports without the applause soundtrack.
- Readers interested in how AI changes judgement, preparation, and performance in sports without turning humans into footnotes.
- Anyone who wants clear context on where AI is already being used in sports today — and where performance data meets human nerves before they trust the louder claims.
- Readers looking for sharper judgement on the serious implementation view covers performance data, tactics, and nerves rather than recycled buzzwords.
Key themes
- Sports
- Artificial Intelligence
- AI Trends
SportsArtificial IntelligenceAI Trends
What you’ll learn
- Where AI is already being used in sports today — and where performance data meets human nerves.
- The serious implementation view covers performance data, tactics, and nerves.
- 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.
Audience fit
Best for people weighing real adoption choices in Sports. It is written for coaches, analysts, operators, and fans who want the practical view who want practical context rather than brochure copy.
Deeper overview
Artificial intelligence enhances sports with performance analytics, injury prevention, and immersive fan experiences. It follows the working pressures that define Sports, especially where performance data meets human nerves.
Why this title is useful in practice
In practice, Artificial Intelligence in Sports: Revolutionizing Performance and Fan Engagement is most useful when the real issue is the tension between data-led gains in sports and the human judgement that still decides outcomes. It is written for readers who want a grounded, non-technical view of AI in Sports, including coaches, analysts, operators, and fans who want the practical view, and it tackles questions such as where AI is already being used in sports today — and where performance data meets human nerves., which makes it more useful than a generic explainer when someone has to decide what happens next in an actual workflow, classroom, policy setting, or team.
Problem framing: where this topic gets messy
Sports sits in that awkward space where numbers can sharpen judgement or flatten it into false certainty. This title looks at what AI is actually doing in sports, where the edge is real, and where the human part still refuses to disappear. It keeps coming back to where AI is already being used in sports today — and where performance data meets human nerves.
Practical outcomes
You should finish it able to judge which parts of sports belong to data, which still belong to people, and where the line keeps moving.
- Understand why sports matters now and what the evidence actually says.
- Assess whether sports is applicable to your context before committing resources.
- Ask the right governance and implementation questions before adoption decisions become expensive.
Chapter-level signals
Where AI is already being used in sports today — and where perfo
Where AI is already being used in sports today — and where performance data meets human nerves.
The serious implementation view covers performance data, tactics
The serious implementation view covers performance data, tactics, and nerves.
Key themes including performance analysis, injury prevention, co
Key themes including performance analysis, injury prevention, coaching, fan engagement.
What makes this title distinct
Artificial Intelligence in Sports: Revolutionizing Performance and Fan Engagement keeps the focus on performance, judgement, and how data changes decisions in sports without pretending sport becomes an equation.
Because decisions in Sports affect performance, injury risk, fan experience, and competitive fairness. Once AI enters the loop, sloppy assumptions get expensive very quickly.
FAQ
What does this book explain about AI in sports?
Where AI is already being used in sports today — and where performance data meets human nerves.
Who gets the most value from this sports guide?
Readers who want a grounded, non-technical view of AI in Sports, including coaches, analysts, operators, and fans who want the practical view.
How detailed is the coverage?
It runs to 229 pages and focuses on It covers the main use cases, the workflow and data changes behind them, the claims worth taking seriously, and the governance questions that show up once AI starts steering decisions in Sports.
Where can I get the eBook?
Available as an eBook via Amazon using the buy link on this page.
Keep exploring the Jonathan Harris AI library
Use the links below to carry on browsing the wider catalogue, the glossary, comparisons, podcast coverage, or a related guide.