APPLICATION OF ARTIFICIAL INTELLIGENCE IN FINANCIAL ANALYSIS AND RISK ASSESSMENT

Authors

  • Nigmatova Gulnora Nurmuxanbetovna Tashkent State University of Economics, Associate Professor of the Department of "Financial Analysis", PhD.

Keywords:

Artificial intelligence, financial analysis, risk assessment, machine learning, predictive analytics, financial technologies, fraud detection

Abstract

This article explores the application of artificial intelligence (AI) in financial analysis and risk assessment. The study focuses on how AI technologies, including machine learning, neural networks, and predictive analytics, improve the accuracy and efficiency of financial decision-making. It highlights the role of AI in detecting financial risks, preventing fraud, and enhancing forecasting capabilities. The research also discusses the challenges and limitations associated with AI implementation in finance and proposes strategies for its effective integration into financial systems.

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References

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Published

2026-04-20

How to Cite

Nigmatova Gulnora Nurmuxanbetovna. (2026). APPLICATION OF ARTIFICIAL INTELLIGENCE IN FINANCIAL ANALYSIS AND RISK ASSESSMENT. Journal of Applied Science and Social Science, 16(4), 887–891. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/4120

Issue

Vol. 16 No. 4 (2026): Journal of Applied Science and Social Science

Section

Articles

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