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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42897
Volume:
9 |
3 |
Mar 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Artificial intelligence (AI) and automation have emerged as transformative forces in the realm of talent acquisition, heralding a new era marked by efficiency, precision, and data-driven decision-making. By leveraging advanced algorithms and machine learning, these technologies eliminate the need for manual, time-consuming processes, enabling recruiters to focus on strategic initiatives and candidate engagement. This shift towards automated and intelligent systems not only enhances the speed and accuracy of hiring but also streamlines processes across the talent lifecycle, offering a paradigm shift in how organizations attract and secure top talent. Furthermore, the implementation of AI-powered tools within recruitment technology adds a layer of predictive analytics and personalized candidate experiences, revolutionizing the way talent is identified and engaged. These intelligent systems facilitate efficient and reliable candidate matching, minimizing the potential for bias and improving the quality of hires. As a result, AI and automation are not only transforming traditional recruitment practices but also finding applications in candidate sourcing, screening, and onboarding, where data-driven insights and personalized interactions are paramount.
KEYWORDS
Publication Date
3/26/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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