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Publication: IIP Series Year: 2024, Month: May Page No: 113-119, ISSN/ISBN: 978-93-5747-703-1, DOI/Link: https://www.doi.org/10.58532/V3BHMA28P7CH2
ARTIFICIAL INTELLIGENCE IN TALENT MANAGEMENT: MAXIMIZING HUMAN RESOURCE POTENTIAL
Area/Stream: Management, Authors: Ashutosh Verma Keywords: Artificial Intelligence (AI), Talent Management, Human Resource, Potential, Benefits &Challenges. Book Name /series: Futuristic Trends in Management Volume 3 Book 28Publication: IIP Series Year: 2024, Month: May Page No: 113-119, ISSN/ISBN: 978-93-5747-703-1, DOI/Link: https://www.doi.org/10.58532/V3BHMA28P7CH2
Abstract:
In an era defined by unprecedented technological advancements, Artificial Intelligence (AI) has emerged as a transformative force, revolutionizing every aspect of our lives. The influence of Artificial Intelligence (AI) has been significant across various domains, and the field of human resource management is no different. This chapter explores the growing significance of Artificial Intelligence (AI) in the implementation of talent management strategies within organizations. As Artificial Intelligence (AI) technologies continue to advance, organizations have the opportunity to leverage data-driven insights and automation to optimize their talent acquisition, development, and retention strategies. This chapter offers a comprehensive overview of the applications of Artificial Intelligence (AI) in talent management, explores the benefits and challenges associated with its implementation, and discusses the ethical considerations surrounding Artificial Intelligence (AI) usage. Through the analysis of present trends and prospective implications, the primary objective of this chapter is to illuminate the transformative capabilities of Artificial Intelligence (AI) in talent management and its consequences for achieving organizational success.
Cite this: Ashutosh Verma,"ARTIFICIAL INTELLIGENCE IN TALENT MANAGEMENT: MAXIMIZING HUMAN RESOURCE POTENTIAL", Futuristic Trends in Management Volume 3 Book 28, May, 2024, 113-119, 978-93-5747-703-1, https://www.doi.org/10.58532/V3BHMA28P7CH2
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