AI-powered HR analytics: Transforming workforce optimization and decision-making

Abstract

Integrating artificial intelligence and machine learning into human resource analytics has ushered in a transformative era for workforce management. This paper explores the applications of AI-driven predictive analytics in optimizing employee performance, enhancing decision-making, and leveraging data-driven insights. It highlights the role of machine learning models in talent acquisition and retention, streamlining recruitment processes, and improving employee satisfaction through personalized strategies. Ethical and sustainable practices are emphasized, addressing concerns about bias, transparency, and inclusivity in AI systems, while promoting long-term sustainability in AI-driven HR processes. The study concludes with actionable recommendations for organizations to integrate AI effectively into HR, including developing strategic implementation plans, ensuring data quality, fostering transparency, and prioritizing ethical and sustainable practices. These insights underline AI's potential to revolutionize HR while emphasizing the need for responsible and inclusive deployment.