Affiliation:
1. Business School, Zhejiang Fashion Institute of Technology, Ningbo 315000, Zhejiang, China
Abstract
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%.
Subject
Electrical and Electronic Engineering,General Computer Science,Signal Processing
Reference26 articles.
1. Dynamic Integrated Model for Disaster Management and Socioeconomic Analysis (DIM2SEA)
2. Construction economic cost management under the market economy;Y.-l. Qi;Procedia Economics and Finance,2021
3. Goal-Setting Model in Multilevel State Strategic Management of Socio-Economic Development
4. Big data and complexity: is macroeconomics heading toward a new paradigm?;F. Lehrstuhl;Journal of Economic Methodology,2017
5. Quick answer for big data in sharing economy: innovative computer architecture design facilitating optimal service-demand matching;G. Lei;Automation Science and Engineering, IEEE Transactions on,2018
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