Construction of Economic Management Big Data Platform Based on Artificial Intelligence Algorithm Monitoring and Early Warning

Autor: Shuzhen Mao
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Electrical and Computer Engineering, Vol 2022 (2022)
Druh dokumentu: article
ISSN: 2090-0155
DOI: 10.1155/2022/1206405
Popis: The development of artificial intelligence and the emergence of big data have brought convenience to the development of various fields and also brought great influence to the economic field. There are many data sources for economic management, and the scale is huge, so how to manage these large-scale economic data has become an urgent problem to be solved. In addition, the issue of how to conduct security management on these large-scale data, protect the security of users’ accounts and property, and effectively monitor and prewarn economic market risks is also an urgent issue. This article aims to build an economic market risk monitoring and early warning platform through advanced science and technology such as artificial intelligence and big data to realize an intelligent risk control platform in the economic and financial fields, as well as a data-driven risk management model to create intelligent risk early warning and prevention and the response system to enhance the intelligent level of risk assessment, early warning, prevention, and disposal. Experiments show that the artificial intelligence algorithm monitoring and early warning economic management big data platform constructed in this article shows that its accuracy of economic risk prediction can reach more than 90%.
Databáze: Directory of Open Access Journals
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