AI-Driven HR Analytics for Intelligent Talent Management: Integrating Machine Learning Techniques with Strategic Human Resource Decision-Making

Artificial Intelligence, HR Analytics, Machine Learning, Talent Management, Human Resource Management, Recruitment Analytics, Predictive Analytics, Workforce Planning, Employee Performance, Strategic and Decision-Making.

Artificial Intelligence (AI) and Machine Learning (ML) have significantly transformed Human Resource Management (HRM) by enabling organizations to make intelligent, data-driven decisions across the employee lifecycle. AI-driven HR analytics supports organizations in identifying talent, predicting employee performance, enhancing workforce engagement, and optimizing strategic workforce planning. The integration of machine learning techniques into HR processes improves recruitment efficiency, minimizes human bias, strengthens retention strategies, and facilitates personalized learning and development initiatives. The present study aims to examine the influence of AI-driven HR analytics on intelligent talent management, to evaluate the role of machine learning techniques in enhancing recruitment, employee performance, learning and career development, employee retention analytics, and strategic workforce planning, and to provide recommendations for organizations seeking to adopt AI-enabled HR practices for sustainable competitive advantage. The study contributes to the growing body of knowledge by highlighting how predictive analytics and intelligent decision-support systems improve strategic HR functions while maintaining organizational effectiveness. The findings are expected to assist HR professionals, managers, and policymakers in implementing AI-based talent management systems that improve operational efficiency, employee satisfaction, and long-term organizational performance in an increasingly digital business environment.