人工智能与大数据在现代财务管理中的应用

Ning Wang, Yang Liu, Zhongmin Liu, Xinying Huang
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引用次数: 5

摘要

本文总结了人工智能和大数据的相关内容,全面分析了金融领域的发展,介绍了人工智能和大数据在财税领域的应用。提出了一种大数据背景下财务信息管理系统的风险评估方法。该方法根据系统模块设置逻辑节点,通过寻找数据之间的逻辑关系,建立风险估计模型。基于大数据背景,选择大数据的批量和流量计算方法,计算系统程序风险指数和财务数据不诚实风险指数。
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Application of Artificial Intelligence and Big Data in Modern Financial Management
This paper summarizes the related contents of artificial intelligence and big data, analyzes the development of financial field comprehensively, and presents the application of artificial intelligence and big data in the field of finance and taxation. This paper presents a risk estimation method of financial information management system in the context of big data. This method sets up logical nodes according to the system module, and builds a risk estimation model by looking for the logical relationship between the data. Based on the background of big data, the batch and flow calculation methods of big data are selected to calculate the system program risk index and financial data dishonesty risk index.
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