Harnessing Artificial Intelligence for Enhanced Decision-Making in Sports Project Management
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V4I4P103Keywords:
Artificial Intelligence (AI), Sports Management, Decision-Making, Analytics, Performance Enhancement, Injury Prevention, Real-Time Analysis, Strategy Optimization, Fan EngagementAbstract
Artificial Intelligence (AI) is revolutionizing the sports industry, impacting how games are played, managed, and experienced. An AI framework for sports incorporates data collection and analysis, leveraging real-time player tracking, performance statistics, and predictive modeling to improve strategy and training1. AI algorithms contribute to injury prevention, fan engagement, and immersive experiences, with the primary objective of making competitions more intense both on and off the field. AI enhances decision-making by analyzing vast amounts of data to provide insights and recommendations, enabling project managers to make better, data-driven choices. AI-driven analytics transform how teams assess performance during and after games by tracking player movements, identifying patterns, and measuring metrics such as speed, distance, and positioning. This data empowers coaches to refine strategies, evaluate team dynamics, and analyze opponents' strengths and weaknesses. Furthermore, AI aids in forecasting future performance and optimizing tactics for upcoming games. The sports analytics market is experiencing rapid growth, driven by AI's increasing role in enhancing decision-making. AI systems can also offer real-time tactical recommendations to help improve decision-making. AI is not limited to pre-match analysis, as it can provide real-time insights during matches, transforming how coaches and players make decisions on substitutions, tactics, and play calls
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References
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