Abstract
ISSN:
Volume 1 Issue 1
Digital Journal of Engineering Science and Technology (DJEST)
Leveraging Artificial Intelligence and Machine Learning for Workforce Optimization: A Holistic Approach to HR Transformation
Senior Manager, People Processes and Analytics, New York, USA
*Corresponding Author: Shweta Pandey, Senior Manager, People Processes and Analytics, New York, USA.
DOI:
Abstract
The modern workforce landscape is undergoing a seismic shift as organizations increasingly turn to Artificial Intelligence (AI) and Machine Learning (ML) to optimize talent management and streamline HR operations. These technologies have permeated various HR functions, from recruitment and onboarding to performance evaluation, training, and succession planning. This paper explores the applications of AI and ML in HR, analyzing how they can enhance decision-making, reduce biases, and provide real-time insights into workforce performance. The study also addresses the challenges posed by these technologies, such as the need for ethical AI frameworks, data privacy concerns, and the complexities of integrating AI into existing HR infrastructures. By offering a cost-benefit analysis and evaluating the long-term benefits of adopting AI in HR, this paper provides a roadmap for organizations looking to transition into AI-driven workforce management systems.
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