THE AI-POWERED PREDICTIVE ANALYTICS EFFECT ON EMPLOYEE RETENTION STRATEGIES (KEY IJP************783)

• Dr.b.venkateswara Prasad, Dr.b.venkateswara Prasad

Abstract

This study investigates the impact of AI-based predictive analytics on employee retention strategies in human resource management. By integrating artificial intelligence and machine learning, organizations can predict employee turnover, personalize career development, and provide targeted interventions for at-risk employees. This study discusses current applications Explains the benefits and challenges of AI in HRM and explains how predictive analytics can determine Employee behavior models for predicting Risk of employee turnover. Use of case studies in this article Presents examples of successful implementation of AI-powered retention strategies and specific tools. It also addresses ethical and privacy issues, and emphasizes transparency and fairness. Discusses future trends and long-term benefits of AI for HRM, such as increased employee satisfaction and reduced turnover costs. This item Explores trends and future outlook. Consider the evolving role of AI in strategic HR planning and Potential technological advancements.The long-term benefits for organizations that adopt these technologies This includes increased employee satisfaction, reduced turnover costs, and a more engaged and stable workforce. The study highlights the importance of employee retention, the transformative potential of AI and ML in talent management, and the significant impact these technologies can have on organizational success.