Abstract

BACKGROUND: With the gradual improvement of market economy, people' s consumption level is constantly improving, and the quality requirements are getting higher and higher. OBJECTIVES: In order to study the management accounting information analysis platform based on Artificial Intelligence (AI) and realize the goal of accounting computerization, the application of AI in expert system is applied to the field of accounting information analysis. METHODS: The combination of subsystems is applied to the construction of AI accounting information Web system, and the feasibility analysis of its theory and technology is carried out. RESULTS: The results show that its effect is obvious: accelerating the flow of all information and promoting the change of enterprise management mode. Moreover, compared with the traditional system algorithm, the accuracy of the system model is improved by 6% and the time delay is reduced by 9ms, which makes the overall management level of the enterprise further improved, the scope of enterprise competition further expanded, the cost of enterprise saved

Highlights

  • Under the background of the great development of science and technology, how to get the advantageous information quickly from various kinds of data and information with various types and densities is the influencing factor for modern enterprises to gain market competitive advantage and market initiative position (Yang et al, 2020; Shen&Han, 2020)

  • In order to study the management accounting information analysis platform based on artificial intelligence (AI) and realize the goal of accounting computerization, the application of AI in expert systems is applied to the field of accounting information analysis

  • IAIS system is based on the model of expert system, which combines AI technology, network technology and traditional accounting information system to form an intelligent accounting information system with the functions of intelligent accounting, intelligent decision support and network interconnection

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Summary

Introduction

Under the background of the great development of science and technology, how to get the advantageous information quickly from various kinds of data and information with various types and densities is the influencing factor for modern enterprises to gain market competitive advantage and market initiative position (Yang et al, 2020; Shen&Han, 2020). If modern enterprises use the traditional way to deal with the massive information and complex data types generated in operation, their work efficiency will be greatly limited and they may face the crisis of enterprise annexation. In the modern dynamic change of information, how to improve efficiency and ensure the accuracy of audit information is important (Luo et al, 2018), which has become the research focus in relevant fields.

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