Full Article: PDF
Scientific Object Identifier: http://s-o-i.org/1.1/TAS-07-135-10
DOI: https://dx.doi.org/10.15863/TAS.2024.07.135.10
Language: English
Citation: Bukhtueva, I. (2024). The role of ai in financial risk management and fraud detection. ISJ Theoretical & Applied Science, 07 (135), 65-69. Soi: http://s-o-i.org/1.1/TAS-07-135-10 Doi: https://dx.doi.org/10.15863/TAS.2024.07.135.10 |
Pages: 65-69
Published: 30.07.2024
Abstract: This article examines the role of Artificial Intelligence (AI) in financial risk management and fraud detection. Traditional methods and AI methods, such as Machine Learning (ML), neural networks, and natural language processing (NLP), are compared in their ability to process large volumes of data, identify complex patterns, and adapt to market changes. The successful application of AI in the financial sector is highlighted using examples from companies like Deloitte and PwC, and ethical and legal challenges are discussed. The results indicate that AI significantly enhances operational efficiency and security in financial institutions.
Key words: Artificial Intelligence, machine learning, neural networks, natural language processing, financial risk management, fraud detection, data analysis.
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