Streamlining Talent Management for Modern Business Through Artificial Intelligence

商业智能 计算机科学 知识管理 工程管理 人工智能 工程类
作者
Fatima Vapiwala,Deepika Pandita
标识
DOI:10.1109/icetsis61505.2024.10459450
摘要

The rise of technology has revolutionized talent management practices. Companies are utilizing data-driven approaches for recruitment, performance evaluation, and succession planning. Moreover, remote work and virtual collaboration have gained traction, prompting organizations to reevaluate their talent acquisition and retention strategies. The pandemic has underscored the significance of technology in facilitating virtual work and maintaining a collaborative work culture within the organization. This necessitates constant monitoring and analysis of the dynamics of talent management. This research aims to provide an overview of the challenges experienced by Human Resource (HR) professionals in talent management within the service industry. In addition, the authors investigate how HR professionals may utilize Artificial Intelligence (AI) based resources and tools in order to overcome the issues pertaining to the development and retention of skilled personnel. The authors propose an AI-driven talent management model based on the challenges and AI solutions discussed in this paper, which will aid HR professionals in better incorporating AI into talent management practices.

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