Business & Management Studies

AI in talent scouting and player development: Role of AI and machine learning in identifying and nurturing talent in sports organizations

AI in talent scouting and player development: Role of AI and machine learning in identifying and nurturing talent in sports organizations

Artificial Intelligence (AI) is transforming sports talent scouting and player development with predictive analytics, wearable tech, and data-driven insights.

Authors

Shashank Mittal, Associate Professor, Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India

Rohit, Gulf Medical University, Ajman, UAE

Summary

Artificial Intelligence (AI) is revolutionizing sports organizations by enhancing talent scouting, player development, and operational efficiency. This chapter explores the transformative role of AI and machine learning in identifying and nurturing athletic talent. It delves into the evolution of talent scouting, the integration of AI technologies such as predictive analytics and wearable sensors, and the implications for player development. Key sections address AI-driven scouting methods, player performance optimization, and the ethical and legal considerations of using AI. The chapter also discusses practical and managerial challenges in implementing AI systems, including data privacy and bias mitigation. By examining future trends and innovations, it provides a comprehensive overview of how AI is reshaping sports management and offers insights into the ethical and practical considerations that organizations must navigate.

Published in: AI and Machine Learning Applications in Sports Analytics

To read the full chapter, please click here.