AI and the Future of Talent Management

Author:

Tariq Muhammad Usman1ORCID

Affiliation:

1. Abu Dhabi University, Abu Dhabi, UAE & University of Glasgow, Glasgow, UK

Abstract

In recent years, the intersection of artificial intelligence (AI) and talent management has revolutionized the way organizations identify, recruit, and retain top talent. This chapter explores the transformative impact of machine learning on talent management processes, shedding light on the innovative ways AI is reshaping recruitment and retention strategies. The discourse then shifts to AI-powered recruitment, exploring the utilization of predictive analytics to forecast hiring needs, the automation of resume screening for efficiency and bias reduction, and the application of video and behavioral analysis to refine candidate assessment processes. These AI-driven methodologies not only enhance the precision of talent acquisition but also ensure a more profound alignment between job requirements and candidate capabilities.Further, the chapter addresses the role of AI in bolstering employee retention, with a focus on predictive modeling to identify turnover risks and personalized development programs.

Publisher

IGI Global

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