AI-Powered Strategies for Talent Management Optimization

Abstract

In today's dynamic and competitive business landscape, effective talent management is paramount for organizational success. This paper explores the integration of artificial intelligence (AI) technologies into talent management practices to optimize recruitment, development, and retention processes. Through a comprehensive review of existing literature and case studies, we elucidate various AI-powered strategies for talent management optimization. These strategies encompass AI-driven recruitment, predictive analytics for talent acquisition, personalized learning and development initiatives, AI-enhanced performance management and feedback systems, retention strategies, succession planning, and diversity and inclusion initiatives. By harnessing AI capabilities, organizations can enhance decision-making, improve efficiency, mitigate bias, and foster a more inclusive and agile workforce. The implications of AI adoption in talent management are discussed, highlighting opportunities for innovation and potential challenges to address. Ultimately, this paper provides insights for HR professionals, business leaders, and researchers into leveraging AI for strategic talent management optimization in the digital age.