AI POWERED TALENT MANAGEMENT SYSTEMS: PERSONALIZED DEVELOPMENT AND RETENTION STRATEGIES

Authors

  • Dr. M. Mohammed Sikkandher ,Dr. V. Gopi, Ramesh Kumar , M.Rajalakshmi Author

Abstract

AI-powered talent management systems are revolutionizing the field of Human Resource Management (HRM) by enabling personalized employee development and enhancing retention strategies. This paper explores the impact of artificial intelligence on talent management, focusing on how machine learning algorithms and predictive analytics can provide individualized growth paths, recommend relevant training, and align employee skills with evolving organizational needs. By analysing employee data, AI-driven systems can identify patterns in performance, predict turnover risks, and suggest interventions that foster engagement and loyalty. Furthermore, the study examines the ethical considerations of data usage, privacy, and bias, essential for ensuring fair and transparent talent management practices. This research underscores the potential of AI in creating agile, responsive HR strategies that not only improve employee satisfaction but also drive long-term organizational success. Through a comprehensive review of case studies and recent advancements, this paper aims to contribute to the understanding of how AI-enabled talent management can lead to sustainable workforce development and retention.

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Published

2024-11-12

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Section

Articles