Artificial Intelligence and Performance Analytics in Olympic Sports.

Abstract

The integration of Computer Science and Software Technology has revolutionized the global sports ecosystem, particularly in the context of the Olympic Games, where data-driven insights and artificial intelligence (AI) have become central to performance optimization, injury prevention, and event management. This research explores the transformative role of AI-powered performance analytics in enhancing athletic preparation, competition fairness, and strategic decision-making at the Olympic level. With advancements in machine learning, computer vision, and biomechanical modeling, coaches and analysts now rely on algorithmic interpretations of real-time data to assess movement efficiency, predict fatigue levels, and identify injury risks. The study highlights how wearable technologies and Internet of Things (IoT) devices collect and transmit continuous physiological data—such as heart rate variability, muscle activity, and motion trajectory—to cloud-based analytical platforms for predictive modeling. Furthermore, it investigates how these intelligent systems contribute to evidence-based training programs, equitable talent identification, and precision coaching. Beyond athletic enhancement, AI also influences officiating accuracy, event scheduling, and environmental sustainability by optimizing energy use in Olympic venues through smart systems. This paper discusses both the ethical and technical implications of AI in Olympic sports, including concerns regarding data privacy, algorithmic bias, and the potential over-reliance on automated systems in human-centered athletic domains. A comprehensive review of existing Olympic applications, such as AI-driven video analysis in gymnastics, real-time tracking in swimming, and computer-assisted officiating in athletics, illustrates how AI tools are redefining performance assessment and transparency. The research concludes that the convergence of AI, big data analytics, and sports technology represents not only a scientific evolution but also a philosophical shift in how athletic excellence is understood and measured. The findings emphasize that future Olympic events will increasingly depend on interdisciplinary collaboration between computer scientists, sports technologists, and performance analysts to ensure ethical, efficient, and inclusive technological integration.