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The field of sporting events is seeing a constant change in the use and development of Artificial Intelligence (AI). The primary focus of this research is on using AI to analyze athlete performance and improve training regimens. This includes skill evaluations, tactical improvements, and customized training advice. The results show that AI has advanced significantly in event management, spectator experiences, and referee decision-making all at the same time. This has improved audience engagement, operational efficiency, and referee decision correctness. Even with all of AI's achievements in sports, there are still unanswered questions. Examples of these include improving intelligent training apparatus and making more accurate projections of athlete performance. Future studies will explore these areas in greater detail in an effort to advance and innovate artificial intelligence (AI) in the sports industry. The ongoing evolution of AI suggests a broader and more precise exploration in sports, potentially providing richer and superior experiences for athletes, spectators, and stakeholders while laying the groundwork for future technological innovations. Meanwhile, people should anticipate the collaborative development of artificial intelligence and humans, aiming for equilibrium, mutual supplementation, and interdependence.
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Jianhang Chen (Wed,) studied this question.
www.synapsesocial.com/papers/68e6fa98b6db643587674efd — DOI: https://doi.org/10.54097/n7dhp396
Jianhang Chen
Highlights in Business Economics and Management
Cheshire Medical Center
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