The Future of HR Process Optimization with Oracle HCM's AI and ML Capabilities

Authors

  • Dr Chethan H Associate Professor Sapthagiri NPS University, Hesarghatta Rd, Chikkasandra, Jalahalli West, Bengaluru, Karnataka 560057 ORCID id - https://orcid.org/0009-0008-4821-9518 Author

Keywords:

Oracle HCM, Artificial Intelligence, Machine Learning, HR Process Optimization, Workforce Analytics, Talent Management, HR Technology

Abstract

In the rapidly evolving business landscape, Human Resources (HR) management has become a cornerstone for achieving organizational efficiency and innovation. Oracle Human Capital Management (HCM) integrates advanced Artificial Intelligence (AI) and Machine Learning (ML) capabilities to streamline HR processes, enhance decision-making, and improve employee engagement. This study explores how Oracle HCM leverages AI/ML technologies to optimize HR operations, including recruitment, talent management, workforce analytics, and employee self-service systems. It provides a comprehensive review of literature on AI/ML applications in HR, details methodologies for evaluating Oracle HCM's impact, and discusses findings that reveal its transformative potential. The study concludes by highlighting the scope of Oracle HCM in future HR landscapes, along with limitations and considerations for effective implementation.

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Published

2026-10-03

How to Cite

Dr Chethan H. (2026). The Future of HR Process Optimization with Oracle HCM’s AI and ML Capabilities. International Journal of Engineering Research in Robotic Intelligence, 3(4), 7-11. https://ijerri.org/index.php/ijerri/article/view/60