AI IN HUMAN RESOURCE MANAGEMENT: PREDICTING EMPLOYEE RETENTION AND PERFORMANCE

The integration of Artificial Intelligence (AI) into Human Resource Management (HRM) has transformed traditional practices, particularly in predicting employee retention and performance. This study explores the application of AI-driven analytics in HRM, emphasizing its potential to enhance decision-making processes related to workforce management. By leveraging machine learning algorithms and predictive modeling, organizations can analyze vast datasets encompassing employee demographics, engagement levels, performance metrics, and historical turnover patterns. This research highlights how AI tools can identify key factors influencing employee retention, thereby enabling HR professionals to implement targeted interventions to foster a more engaged and productive workforce. Furthermore, the study examines the implications of AI for performance assessment, demonstrating how data-driven insights can lead to more accurate evaluations and personalized development plans. The findings underscore the necessity for HR practitioners to embrace AI technologies to remain competitive in a rapidly evolving business landscape. Ultimately, this study contributes to the growing body of literature on AI in HRM, offering practical recommendations for integrating these tools into existing HR frameworks.