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AI and the Future of Talent Management: Transforming Recruitment and Retention With Machine Learning

AI and the Future of Talent Management: Transforming Recruitment and Retention With Machine Learning
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Author(s): Muhammad Usman Tariq (Abu Dhabi University, UAE & University College Cork, Ireland)
Copyright: 2024
Pages: 16
Source title: Global Practices on Effective Talent Acquisition and Retention
Source Author(s)/Editor(s): Bryan Christiansen (Southern New Hampshire University, USA), Muhammad Abdul Aziz (University of Hertfordshire, UK)and Elle Lily O'Keeffe (Rasmussen University, USA)
DOI: 10.4018/979-8-3693-1938-3.ch001

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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.

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