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Research on Cross-Application and Pattern Innovation of Artificial Intelligence Technology in Enterprise Management

Author(s)

Xinyi Fan*

Affiliation(s)

Department of Investment Studies, Hefei University, Anhui, China *Corresponding author

Abstract

This paper deeply studies the cross-application of artificial intelligence (AI) technology in enterprise management and the mode innovation caused by it. Firstly, through detailed analysis of specific application examples of AI in key management fields such as supply chain management, human resource management, financial management, marketing and strategic decision-making, it is revealed how AI technology can promote the intelligent transformation of enterprise management processes, improve the efficiency and accuracy of decision-making, and promote enterprises to achieve digital transformation and intelligent upgrading. In the process of cross-application, AI not only optimizes the execution of traditional management activities, but also gives birth to new management models and service forms, such as intelligent enterprise operation model, customer-centric service model, and the construction of learning organization and innovation ecology. However, the widespread adoption of AI technology also comes with a series of challenges, including data security and privacy protection, technological maturity and talent shortages, organizational change and cultural resistance. In response to these challenges, this paper puts forward corresponding countermeasures, including strengthening data governance and compliance construction, increasing talent training and introduction, and building an open and inclusive corporate culture, so as to provide practical guidance for enterprises to smoothly promote AI application. Through comprehensive theoretical analysis and empirical research, this paper not only enrichis the theoretical system of the application of AI in enterprise management, but also provides valuable insights for enterprises how to use AI technology to achieve sustainable development in the complex and changeable market environment. Finally, this paper looks forward to the future development trend of enterprise management mode driven by AI technology, and emphasizes the importance of continuous innovation and learning for enterprises to maintain competitiveness in the era of digital economy.

Keywords

AI in Management; Digital Transformation; Data Security; Talent Gap

References

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