Artificial Intelligence and Data Science Approaches to Analyzing Human Resource Management in Hybrid and Remote Work Models

Fresh challenges and opportunities are emerging in the field of Human Resource Management (HRM) as a result of the implementation of hybrid and remote work modes. This investigation investigates the use of artificial intelligence and data science tools to evaluate HRM practices in dynamic work environments. The study employs AI, machine learning, and advanced analytics to investigate critical HRM characteristics, including engagement, productivity, and performance, in hybrid and remote environments. The study underscores the importance of data-driven methodologies for optimising HRM policies, incorporating sentiment analysis into workforce planning, and utilising predictive analytics in workforce planning. The research aims to provide practical insights to human resources professionals and corporate executives in order to improve management strategies and cultivate a remote workforce that is both efficient and inclusive.