Predictive HR Analytics: Leveraging AI for Employee Retention and Experience Optimization

Abstract

Predictive analytics (PA) in Human Resource (HR) is a fast-developing field that uses Artificial Intelligence (AI) and data powered decision making to transform the way the decisions are made in HR sector. HR professionals are now predicting future results with great accuracy by using advanced procedures and machine learning (ML) techniques. This approach leads the organizations towards more informed and planned decision making. The HR departments are now using PA to predict employee turnover, identifying high-potential candidates, and even anticipating upcoming skill gap inside the firm. The leaders proactively develop “retention strategies, succession plans, and targeted training programs” with the help of these valuable insights and address the possible gaps among the employees. In addition, PA also help HR in optimising recruitment processes where they identify the effective source of talent acquisition, improve candidate selection process, and overall planning for work force. HR harness the power of AI and data driven vision and understanding to align their strategies with “organizational goals, maximize employee productivity, and drive overall business success”. The organizations are leading themselves towards “improved hiring outcomes, increased employee engagement, and enhanced work delivery” by integrating AI and PA in their HR processes while making data driven decisions. Immediate decisions are possible on the basis of real time data with the help of PA to forecast upcoming requirements in the organization.