Research on Intelligent Transformation Path of Sports Industry Based on AI Big Model

Authors

  • Dongjin He
  • Tonguyu Zhang
  • Haolang Han
  • Gan Wu
  • Jiajun Zhou
  • Yingmei Li

DOI:

https://doi.org/10.54097/8pdep922

Keywords:

AI Big Model; Sports Industry; Intelligent Transformation; Digital Development; Industrial Ecology; Policy Recommendations; Implementation Strategies

Abstract

With the rapid development of artificial intelligence technology, the application of AI big model in the sports industry is becoming more and more widespread, promoting the intelligent transformation of the sports industry. Based on the theoretical foundation and technical characteristics of AI big model, this study constructs a theoretical model of intelligent transformation of sports industry and analyzes the current status of the application of AI big model in sports industry. The study finds that AI Big Model can effectively improve the operational efficiency of the sports industry, innovate the service mode, enhance the user experience, and provide technical support for athletes' training and competition. The study also proposes a series of policy recommendations and implementation strategies to promote the wide application of AI Big Model in the sports industry. However, the study also has limitations, such as the lack of empirical studies and interdisciplinary perspectives. Future research can be expanded in terms of empirical studies, interdisciplinary studies, long-term tracking studies, international comparative studies, and studies on risks and challenges, in order to deepen the understanding of the intelligent transformation of the sports industry and provide theoretical and practical support for its sustainable development.

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Published

08-01-2025

Issue

Section

Articles

How to Cite

He, D., Zhang, T., Han, H., Wu, G., Zhou, J., & Li, Y. (2025). Research on Intelligent Transformation Path of Sports Industry Based on AI Big Model. Mathematical Modeling and Algorithm Application, 3(3), 27-32. https://doi.org/10.54097/8pdep922