The Role of Machine Learning in Sports Content Creation and Distribution

Author(s)	Srinivas Balasubramanian
Country	United States
Abstract	The future of sports broadcasting and content will be driven by artificial intelligence, or AI. AI can be used in broadcasting in a variety of ways, including automated content generation, real-time game analysis, distribution strategies, and, of course, player safety. Machine learning (ML) has revolutionized various industries, and its impact on sports content creation and distribution is profound. The ability to process vast amounts of data, generate real-time insights, and personalize content has enhanced the way sports media is produced and consumed. ML-driven analytics assist in content automation, predictive modeling, and audience engagement strategies. This paper explores the applications of machine learning in sports media, focusing on automated content generation, personalized recommendations, real-time game analysis, and distribution strategies. Additionally, it examines challenges and future trends in ML adoption within the sports industry.
Keywords	Machine Learning, Sports Analytics, Content Creation, Sports Broadcasting, AI in Media, Personalized Content, Real-time Analysis, Predictive Modeling
Field	Engineering
Published In	Volume 2, Issue 12, December 2021
Published On	2021-12-02
DOI	https://doi.org/10.5281/zenodo.15051203
Short DOI	https://doi.org/g88z2s

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