Research on Big Data and Artificial Intelligence Driven Human Resource Management Innovation
DOI:
https://doi.org/10.54097/c28e5c13Keywords:
Big Data; Artificial Intelligence; Enterprise Human Resource Management; Impact; Integration and Innovation.Abstract
This paper focuses on the application and innovation of big data and artificial intelligence in the field of human resource management. With the continuous development of information technology, big data and artificial intelligence have become indispensable and important tools in enterprise management. In the field of human resource management, the application of big data and artificial intelligence provides enterprises with more accurate and efficient management methods and promotes the innovation and development of human resource management. This paper first introduces the basic concepts and characteristics of big data and artificial intelligence, and then analyzes their applications and innovations in recruitment, training, performance management, and employee benefits. Next, the paper discusses specific cases of big data and artificial intelligence in human resource management and evaluates their effects and impacts. Finally, the paper summarizes the roles and challenges of big data and artificial intelligence in human resource management and looks ahead to the future.
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Zhou Taotao, Liu Caixia, Wang Dalin, Zhang Laibin. Research status and development prospect of real-time probabilistic safety analysis of nuclear power plants driven by safety big data[J]. Nuclear Science and Engineering,2021,(02):1-10.
Qi Zhibin. Implementation of "double reduction": pros and cons of artificial intelligence technology-assisted teaching[J]. Journal of Mudanjiang Normal University (Natural Science Edition),2024,(01):78-80.
Hou Ya. Application of medical big data analysis and artificial intelligence in health system[J]. Information Systems Engineering, 2024, (02): 89-92.
Ou Yuqing. From traditional auditing to big data auditing: transformation strategy and path exploration[J]. Modern Auditing and Accounting, 2024, (02):4-6.
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