A curated collection of real-world applications at the intersection of artificial intelligence and golf. This hub compiles model case studies and candid transcripts from coaches, researchers, and players who leverage AI to inform training, strategy, and performance. Each entry distills the problem, the data-driven approach, the findings, and practical takeaways that readers can adapt to their own practice and analysis.
In this model scenario, a coach pairs high-speed motion capture with AI-driven pattern recognition to identify swing fault clusters contributing to dispersion. By tracing cue-driven variations across sessions, the team identifies repeatable adjustments that reliably reduce miss distances. This entry emphasizes transparent methodologies, from data collection to interpretation.
Read the full case studyAn interview with a veteran coach integrating AI-generated feedback into routine practice. The conversation explores how data-driven cues shape individual coaching plans, how athletes respond to quantified insights, and how ethical considerations—privacy, accuracy, and coach–player trust—inform deployment.
Read the full interviewThis entry examines how AI-assisted analytics influence decision-making on approach shots, risk assessment, and club selection under varying wind and moisture conditions. The narrative highlights how data transparency and scenario modeling can support coaches in formulating neutral, evidence-based strategies.
Read the full case studyA dialogue with data scientists who stress rigorous data governance, replication challenges, and the importance of context when interpreting AI-driven insights in golf. The interview underscores reproducibility and clear labeling of limitations as core standards for educational content.
Read the full interviewThis section is designed with a neutral, non-commercial ethos in mind—reflecting aigolf.org’s commitment to education, transparency, and community learning. For ongoing access to a growing library, subscribe to updates or explore related pages such as AI in Golf Training, Data and Analytics in Golf, and Glossary of AI in Golf.
The Case Studies and Expert Interviews collection adheres to aigolf.org’s editorial guidelines. All entries cite verifiable data sources and reflect a neutral stance aimed at education and practical understanding. If you have a case study or interview idea that fits this educational mission, please consult our Editorial Guidelines and Educational Standards page.