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Analysis of Application Trends and Challenges of Artificial Intelligence in Financial Management

Zhoufan Yu

Abstract


The study provides a detailed analysis of trends and challenges in the application of AI in financial management. The report reviews
key applications of AI in financial management, including financial forecasting, risk management, and decision support. The study also explores the practical challenges of AI technologies such as data quality, model transparency and compliance with laws and regulations. The performance of the artificial intelligence model is compared with traditional financial analysis method. Experimental results show that AI model
has significant advantages in accuracy, recall rates and F1 scores. Research shows that AI is revolutionizing financial management, but it also
highlights the need to address the challenges and risks posed by AI.

Keywords


Artificial Intelligence; Financial Management; Application Trends; Financial Management Efficiency

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References


[1] Yu Rong. Application and Challenge of Artificial Intelligence in Enterprise Financial Management [J]. Financial Management (Market

Edition), 2024(7):65-67. (in Chinese)

[2] Cui Tingting. Research on the application of RPA technology in the digital transformation of Enterprise finance [J]. Economist,

2023(1):74-75.

[3] Liu Yanyan. Research on application of artificial intelligence in financial management [J]. Chinese Agricultural Accounting, 2024,

34(14):60-62. (in Chinese)

[4] Xie Y. Application of artificial intelligence in University financial management [J]. Office Automation, 2024, 29(15):83-86. (in Chinese)

[5] Shen Lingfen. Discussion on the application of artificial intelligence in enterprise financial management [J]. Chief Financial Officer,

2023, 19(10):189-191.




DOI: http://dx.doi.org/10.70711/aitr.v2i9.6874

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