Augmenting People Analytics with AI: Evolving Trends and Enterprise Implications

Gopal Krishna K Iyer, Kumrashan Indranil Iyer

Abstract: Lately, people analytics has emerged as a critical function within enterprise HR strategy, evolving from basic reporting and descriptive insights to more advanced, predictive decision-making. With the integration of artificial intelligence (AI) and machine learning (ML), people analytics is undergoing a significant transformation, especially in large enterprises, where the scale and complexity of workforce dynamics demand more intelligent systems. This article traces the evolution of people analytics over the past two decades, outlines the current state of AI technologies in the HR domain, and explores their role in elevating the quality, depth, and impact of workforce analytics. Through a review of industry research and leading practices as of December 2022, we examine the opportunities and challenges associated with AI integration in large organizations. We also address the ethical, legal, and organizational implications of these advancements and provide strategic recommendations to help enterprises adopt AI in people analytics responsibly and effectively.

Keywords: People Analytics, Artificial Intelligence in HR, AI-driven Workforce Insights, HR Technology, Predictive Analytics, Prescriptive Analytics, Strategic HR Management, Talent Intelligence, Future of Work, Adaptive HR Systems

How to Cite?: Gopal Krishna K Iyer, Kumrashan Indranil Iyer, "Augmenting People Analytics with AI: Evolving Trends and Enterprise Implications", Volume 12 Issue 1, January 2023, International Journal of Science and Research (IJSR), Pages: 1403-1410, https://www.ijsr.net/getabstract.php?paperid=MS2301083729, DOI: https://dx.doi.org/10.21275/MS2301083729