Leveraging AI for Real-Time Data Analytics in Sports Entertainment
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Leveraging AI for Real-Time Data Analytics in Sports Entertainment
Authors:
Srinivas Balasubramanian
ABSTRACT
Artificial Intelligence (AI) is changing sports entertainment with real-time data analytics, player performance, fan engagement, and game strategies. This paper explores how AI-driven analytics can process huge amount of sports data in real time basis and provide insight for coaches, teams, and audiences. Furthermore, this discusses the challenges that are associated with AI adoption in sports entertainment. Additionally, this paper discusses the challenges associated with AI adoption in sports, such as ethical concerns, data privacy, technology biases, and the potential impact on human decision-making. By evaluating both the pros and cons of AI in sports, this study helps to gain a comprehensive understanding of its role in shaping the future of sports.
Keywords
Artificial Intelligence (AI), Real-Time Data Analytics, Sports Performance, Predictive Analytics, AI in Broadcasting, Fan Engagement, Game Strategy Optimization, Machine Learning in Sports, Big Data in Sports