AI & sport · Data and analysis
New research highlights the importance of data in the age of AI-powered sports.
A new study explores sports data sources, analysis infrastructure, and governance challenges in AI applications.
A scientific article published in October 2026 explores the role of data, technology infrastructure, and information governance in advancing AI applications in sports, a topic that has gained prominence with the growing use of wearable sensors, player tracking systems, and automated video analysis. The article was reported by the specialized platform for economics and sports.
Published in the Encyclopedia journal on October 1, the article is titled "Sports Data: Sources, Infrastructure, and Governance in the AI Era." The author categorizes sports data sources, ranging from information recorded during competitions and training sessions to data related to athlete monitoring and sports business activities.
The article highlights that machine vision, wearable sensors, tracking systems, and fan behavioral data are among the resources that can be leveraged for AI-driven analysis and decision-making.
The primary challenge goes beyond data collection.
Data becomes practically valuable only when its quality, compatibility, and usability are assured. Incomplete or incompatible information can skew analysis results and impact technical or managerial decisions.
In addition to these challenges, sports organizations face significant hurdles in protecting athletes' personal information, determining access levels, ensuring system security, and clarifying accountability for data usage.
From an economic standpoint, establishing a reliable data infrastructure can reduce decision-making costs and enhance the potential for developing analytical services. However, organizations must also factor in the costs of system maintenance, information security, and workforce training.
The article underscores the importance of a holistic approach to data, technology, and information governance—a perspective that is increasingly vital for sports clubs, federations, and sports technology companies.
Source: Jerred Junqi Wang, scientific article "Sports Data: Sources, Infrastructure, and Governance in the AI Era," Encyclopedia journal, October 1, 2026.
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