“Enhancing Employee Engagement and Productivity With AI”

Abstract

Organizational success and longevity depend on engaged and productive employees. This article delves into use of AI & ML to improve these areas by examining KPIs for engagement, productivity, and employee behavior. We investigate the potential of AI in conducting sentiment analysis on employee feedback, developing predictive models for employee turnover, and creating personalized training and development programs. Our research methodology involves a combination of quantitative and qualitative approaches to validate the effectiveness of these AI-driven strategies in real-world organizational settings. Additionally, we address ethical considerations, technical challenges, and the future directions of AI in the Human Resource Management (HRM). Our findings suggest that AI-driven strategies can significantly contribute to a motivated workforce, offering transformative potential for HRM.