AI-driven HR analytics: Enhancing decision-making in workforce planning

Abstract

Conventional workforce planning methods have been revolutionized by the incorporation of artificial intelligence (AI) into human resource (HR) analytics. The effect of AI-powered HR analytics on organizational decision-making is examined in this paper. Organizations may use predictive analytics, data mining, and machine learning to make educated judgments about talent management, employee performance, and retention tactics. The research employs a quantitative technique, gathering information from 150 individuals via survey questionnaires to assess how well AI-pushed HR analytics may also enhance decision-making strategies. Organizations that use AI-pushed HR analytics record better stages of employee delight, lower attrition quotes, and greater productiveness. In order to remain competitive in the always-changing labor market, this paper emphasizes how important it is for organizations to use AI-driven solutions.