Integrating Artificial Intelligence in Sports Project Management: Enhancing Efficiency and Decision-Making

Authors

  • Vikram Shah Cybersecurity Consultant, TCS, India Author

DOI:

https://doi.org/10.63282/3050-9262.IJAIDSML-V2I3P102

Keywords:

AI in sports, Sports project management, Predictive analytics, Risk management, Resource optimization, Decision support, Machine learning, Data processing, Deep learning, IoT in sports

Abstract

The integration of Artificial Intelligence (AI) in sports project management has the potential to revolutionize the way organizations plan, execute, and evaluate their projects. This paper explores the various applications of AI in sports project management, focusing on how it can enhance efficiency, improve decision-making, and optimize resource allocation. We present a comprehensive review of existing literature, case studies, and empirical evidence to support our arguments. Additionally, we propose a framework for integrating AI into sports project management, including specific algorithms and tools that can be utilized. The paper concludes with a discussion on the challenges and future directions for research in this domain

References

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[5] Smith, J., & Jones, M. (2020). Risk management in sports projects using AI. International Journal of Project Management, 38(2), 123-135.

[6] Zhang, Y., & Zhang, J. (2019). Predictive analytics in sports management. Journal of Sports Management, 33(4), 456-468.

[7] Ever Efficient AI. (2022). AI in sports analytics: Enhancing team performance. https://everefficient.ai/posts/ai-in-sports-analytics-enhancing-team-performance/

[8] Hsu, T.-H., Chen, C.-H., Ju, N. P., İk, T.-U., Peng, W.-C., Wang, C.-C., Lin, Y.-H., Tseng, Y.-C., Huang, J.-L., & Ching, Y.-T. (2019). CoachAI: A project for microscopic badminton match data collection and tactical analysis. arXiv preprint arXiv:1907.12888. https://arxiv.org/abs/1907.12888

Published

2021-09-18

Issue

Section

Articles

How to Cite

1.
Shah V. Integrating Artificial Intelligence in Sports Project Management: Enhancing Efficiency and Decision-Making. IJAIDSML [Internet]. 2021 Sep. 18 [cited 2025 Sep. 15];2(3):12-20. Available from: https://ijaidsml.org/index.php/ijaidsml/article/view/28