The Application of Artificial Intelligence in Enterprise Financial Risk Warning under the Background of Big Data
DOI: https://doi.org/10.62517/jbm.202409416
Author(s)
YingShan Ma
Affiliation(s)
Guangdong University of Finance & Economics, Guangzhou, Guangdong, China
Abstract
Artificial intelligence is a product of the new era, and with the rapid development of technology, it has been widely applied in many fields, laying a good technological foundation for social development. In financial management, the popularity of ATM machines has verified that China has introduced artificial intelligence technology. Ordinary people can easily view their financial status and handle some simple financial transactions through online platforms, thereby enhancing the scientific nature of investment decisions. However, the rapid development of artificial intelligence has also brought some problems to traditional financial work, as traditional models face difficulties in matching new market demands. Therefore, integrating artificial intelligence into financial work as soon as possible has become an inevitable trend. By effectively applying artificial intelligence, enterprises can enhance the intelligence level of financial management in the rapidly changing market environment, ensuring its sustainable and healthy development. Based on this, the article conducted relevant research on the application of artificial intelligence in enterprise financial risk warning under the background of big data.
Keywords
Big Data Background; Artificial Intelligence; Financial Risk; Risk Warning; Application
References
[1] Ma Chuyan. Application of Artificial Intelligence in Enterprise Financial Risk Warning under the Background of Big Data [J]. Taxation, 2024 (12): 94-96.
[2] Zhao Yiting. Research on the Application of Artificial Intelligence in Audit Process under the Background of Big Data [J]. Knowledge Economy, 2024 (12): 125-127.
[3] Liang Fei. Analysis of the Impact of Digital Technologies Mainly Based on Big Data and Artificial Intelligence on the Financial Industry [J]. Industry and Technology Forum, 2024, 23 (14): 41-43.