Artificial Intelligence for Business and Industry: A Strategic Framework for People Analytics in Human Resource Management

Artificial Intelligence has become deeply embedded in modern organizations, serving as a major driver of change. Among its many applications, People Analytics is one of the most impactful in Human Resource Management. Traditional methods and managerial instincts give way to AIenabled tools that offer more profound insight into workforce dynamics. Companies today use these tools to align talent strategy with business goals more accurately and effectively. Decision-making across the employee lifecycle is now faster and more precise. This shift is helping HR evolve into a strategic business partner rather than a supporting function. This paper takes a global and strategic view of how AI is being woven into core HR practices. It examines the influence of key technologies like machine learning, natural language processing (NLP), and predictive modeling on the various facets of HR. Practical insights and ethical issues are explored through real-world examples from companies such as Unilever, IBM, and Google. While AI brings many opportunities, it also raises concerns related to data privacy, fairness, and algorithmic transparency. The study presents a people-centered framework, offering guidance for organizations seeking to create more efficient, inclusive, and resilient workplaces.