Author(s)

Fang Li

Affiliation(s)

Department of Information Engineering, Heilongjiang International University, Harbin, Heilongjiang, China.

Corresponding Author

Fang Li

ABSTRACT

This article delves into the application of artificial intelligence(AI) technology in the field of enterprise technology management, along with the challenges and opportunities it brings. It focuses on analyzing key AI technologies such as machine learning, deep learning, and natural language processing, and how they drive improvements in operational efficiency, decision quality, and customer service within enterprises. Through the study of successful cases across multiple industries, this paper reveals the main challenges faced by enterprises in implementing AI, such as data integration, technological adaptation, personnel training, as well as issues related to data privacy and security, and proposes effective strategies to overcome these challenges. The research shows that despite these challenges, with strategic planning and execution, enterprises can significantly benefit from AI technology investments and maintain market competitiveness. The contribution of this study lies in providing new insights into the application of AI in enterprise technology management for academia, and offering valuable guidance for business practices and policy-making, particularly in promoting technological innovation, management innovation, and achieving win-win situations for enterprises and society. Additionally, the research also outlines future trends in AI technology development and directions for future research, including its application in small and medium-sized enterprises, as well as important topics like AI ethics and social responsibility.

KEYWORDS

Artificial intelligence, Enterprise technology management, Data analysis, Technological innovation

CITE THIS PAPER

Fang Li. Application analysis and prospects of artificial intelligence in enterprise technology management. World Journal of Information Technology. 2024, 2(2): 16-21. DOI: 10.61784/wjitv2n294.

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