人工智能助推职业体育赛事发展的机制、价值与路径

Working Mechanism,Application Value,and Practice Paths of Artificial Intelligence Promoting the Development of Professional Sports Events

职业体育赛事发展是体育强国建设的重要一环。数字化时代,人工智能对于职业体育赛事的创新发展具有突破性价值。研究通过文献资料法和逻辑分析法,以人工智能技术的运行原理、应用价值、落地实践为切入视角,分别对其助推职业体育赛事发展的机制、价值和路径进行探析。破局机制在于:第一,通过释放数据要素价值,搭建赛事智能化的底层逻辑;第二,通过增强数据采集能力,推动赛事数据的资产积累;第三,通过深化数据信息挖掘,解码赛事数据的决策作用;第四,通过直观分析结果呈现,增强赛事数据的应用效果。现实价值包括:渗透竞训环节,提升赛事竞技水平;优化竞赛产品,开发赛事商业价值;规范监管过程,改善赛事组织管理;发挥溢出效应,释放赛事多重功能。革新路径应从以下几方面展开:首先,注重数据的积累,夯实迈向智能化的基础;其次,完整技术栈搭建,支撑智能应用高效运行;最后,全角色素养提升,保障智能应用发挥实效。

The development of professional sports events is an important part of the construction of a leading sports nation.In the digital era,artificial intelligence has a breakthrough value for the innovative development of professional sports events.Through the methods of literature method and logical analysis,this paper analyzes,from the perspective of operation principle,application value,and landing practice of AI technology,the mechanism,value,and path of AI promoting the development of professional sports events.The breakthrough mechanism lies in:first,building the underlying logic of tournament intelligence by releasing the value of data elements;second,promoting the asset accumulation of tournament data by enhancing the data collection ability;third,decoding the decision-making role of tournament data by deepening the mining of data information;and fourth,enhancing the application effect of tournament data by presenting the results of intuitive analysis.The practical value includes:penetrating the competition and training links to enhance the competitive level of the event;optimizing the competition products to develop the commercial value of the event;standardizing the regulatory process to improve the organization and management of the event;and exerting the spillover effect to release the multiple functions of the event.The innovation path should be carried out in the following aspects:first,focusing on the accumulation of data to consolidate the foundation towards intelligence;second,building a complete technology stack to support the efficient operation of intelligent applications;and finally,improving the literacy of the whole role to ensure the effectiveness of intelligent applications.