Tech-Driven Talent Identification in Sports: Advancements and Implications

Authors

  • Luis Felipe Reynoso-Sanchez Department of Social Sciences and Humanities, Autonomous University of Occident, Los Mochis, Sinaloa, Mexico Corresponding Author https://orcid.org/0000-0001-9008-5105

DOI:

https://doi.org/10.61838/kman.hn.1.3.11

Abstract

This commentary delves into the transformative role of technology in talent identification within the sports arena, marking a significant shift from traditional scouting methods to sophisticated, data-driven approaches. It explores the latest advancements in technology, including artificial intelligence, biometric analysis, and advanced data analytics, and how they revolutionize the identification and nurturing of sporting talent. The commentary provides a critical comparison between conventional practices and modern technological methods, highlighting the increased accuracy, efficiency, and objectivity that technology offers. It also addresses the broader implications of these advancements, including ethical considerations like privacy and data security, and their impact on athletes, coaches, and sports organizations. Challenges and limitations of current technologies are discussed, alongside a perspective on future directions and potential improvements. This article aims to provide a comprehensive overview of the current state of tech-driven talent identification in sports, offering insights into its profound implications for the future of sports management and athlete development.

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Author Biography

  • Luis Felipe Reynoso-Sanchez, Department of Social Sciences and Humanities, Autonomous University of Occident, Los Mochis, Sinaloa, Mexico

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Additional Files

Published

2023-07-01

How to Cite

Reynoso-Sanchez, L. F. (2023). Tech-Driven Talent Identification in Sports: Advancements and Implications. Health Nexus, 1(3), 77-82. https://doi.org/10.61838/kman.hn.1.3.11

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