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Research on the Synergy Mechanism Between Artificial Intelligence and Enterprise Innovation Management

Author(s)

Yunxin Du

Affiliation(s)

Information School, The University of Sheffield, Sheffield S10 2TN, South Yorkshire, The United Kingdom

Abstract

This paper explores the synergy mechanism of artificial intelligence (AI) in enterprise innovation management and its application in different fields, including science and technology, manufacturing and service industries. By systematically combing the role of AI in resource allocation, decision support and risk management, the study points out that AI technology has significantly improved the resource utilization efficiency and decision-making quality of enterprises in the innovation process, and effectively enhanced the competitiveness and adaptability of enterprises in complex markets. Specifically, AI can optimize the allocation of personnel and equipment and improve innovation efficiency in resource allocation; in decision support, it uses big data and machine learning models to achieve accurate market forecasting and dynamic adjustment; in risk management, AI helps enterprises quickly identify and respond to potential risks in the innovation process, thereby ensuring the stability and sustainability of innovation. In addition, combined with cases in science and technology, manufacturing and service industries, this paper verifies the application effect of AI technology in different industries, and illustrates the value and potential of AI in improving the innovation management level and user experience in various industries. This paper believes that the deep integration of AI technology will promote the intelligent transformation of enterprise innovation management mode and provide important support and theoretical basis for innovation practice in various industries.

Keywords

Artificial Intelligence; Enterprise Innovation Management; Resource Allocation; Decision Support; Risk Management

References

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