Reimagining Human Resources Through the Integration of AI and Microservices Technologies

Reimagining Human Resources Through the Integration of AI and Microservices Technologies

Authors

  • Hakim Ahmad Department of Computer Science, Universiti Malaysia Pahang
  • Liyana Salleh Department of Computer Science, Universiti Malaysia Sabah

Abstract

This research article delves into the transformative potential of integrating artificial intelligence (AI) and microservices technologies within human resources (HR) practices. In an era where organizations face rapidly evolving workforce dynamics, technological advancements, and increasing demands for efficiency and personalization, the traditional HR model is under significant pressure to adapt. This study undertakes a comprehensive exploration of how the combination of AI's analytical prowess and the flexibility inherent in microservices architecture can revolutionize HR processes across the board, from recruitment and onboarding to employee development and retention. Through an in-depth analysis of current applications, potential synergies, and implementation strategies, this research aims to construct a robust framework for reimagining HR in the digital age. The study does not shy away from addressing the technical, organizational, and ethical considerations that come with such integration, offering valuable insights into future directions and areas ripe for further research. By examining this intersection of HR, AI, and microservices, the article contributes to the ongoing dialogue about the future of work and provides practical insights for organizations seeking to leverage technology to enhance their HR capabilities.

Author Biographies

Hakim Ahmad, Department of Computer Science, Universiti Malaysia Pahang

 

 

 

Liyana Salleh, Department of Computer Science, Universiti Malaysia Sabah

 

 

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Published

2022-10-11

How to Cite

Hakim Ahmad, & Liyana Salleh. (2022). Reimagining Human Resources Through the Integration of AI and Microservices Technologies. Eigenpub Review of Science and Technology, 6(1), 122–143. Retrieved from https://studies.eigenpub.com/index.php/erst/article/view/90

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