Yadav, Mohit, Choudhury, Tanupriya and Luu, Thi Minh Ngoc
(2025)
Machine Learning for Enhanced Fan Engagement and Experience in Sports.
In:
AI and Machine Learning Applications in Sports Analytics.
IGI Global, pp. 115-128.
ISBN 9798369353851
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Abstract
This chapter explores the transformative role of artificial intelligence (AI) in enhancing fan engagement within the sports industry. By examining key applications such as predictive ticket pricing, personalized content delivery, and immersive experiences through augmented and virtual reality, the chapter highlights how AI technologies create deeper connections between fans and sports organizations. It discusses the practical, managerial, societal, and ethical implications of integrating AI, emphasizing the importance of data privacy and fairness in AI-driven initiatives. As sports organizations leverage data analytics and machine learning, they can deliver customized experiences that resonate with diverse fan bases while fostering community engagement. Ultimately, this chapter underscores the potential of AI to reshape the future of fan interactions, making sports more accessible and engaging for everyone.
Item Type: | Book Section |
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Subjects: | Social Sciences and humanities > Business, Management and Accounting > Management of Technology and Innovation Physical, Life and Health Sciences > Computer Science |
JGU School/Centre: | Jindal Global Business School |
Depositing User: | Mr. Luckey Pathan |
Date Deposited: | 06 Jul 2025 07:27 |
Last Modified: | 06 Jul 2025 07:27 |
Official URL: | https://www.igi-global.com/chapter/machine-learnin... |
URI: | https://pure.jgu.edu.in/id/eprint/9762 |
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