The Role of Artificial Intelligence in Revolutionizing Financial Services: From Fraud Detection to Personalized Banking

Main Article Content

Ankush Sharma*
Neha Sharma

Abstract

Artificial Intelligence (AI) is reshaping the financial services landscape, offering unprecedented opportunities for innovation in areas such as fraud detection, risk management, personalized banking, and customer service. This paper explores the transformative potential of AI in the FinTech sector, analyzing its application across different financial services, the challenges it poses, and its future direction. The growing interest from economists, technologists, and financial institutions signals the critical role AI will continue to play in the evolution of finance.

Article Details

How to Cite
Sharma, A., & Sharma, N. (2025). The Role of Artificial Intelligence in Revolutionizing Financial Services: From Fraud Detection to Personalized Banking. Vivekananda Journal of Research, 14(2), 171–174. https://doi.org/10.61081/vjr/14v2i108
Section
Review Article

References

Adhikari, P., & Hamal, P. (2024). Impact and Regulations of AI on Labor Market and Employment in USA.

Al-Fatlawi, A., Al-Khazaali, A. A. T., & Hasan, S. H. (2024). AI-based model for fraud detection in bank systems. Journal of Fusion: Practice and Applications, 14(1), 19-27.

Al-Mansoori, S., & Salem, M. B. (2023). The role of artificial intelligence and machine learning in shaping the future of cybersecurity: trends, applications, and ethical considerations. International Journal of Social Analytics, 8(9), 1-16.

Bank of America (2021). “Meet Erica: Your virtual financial assistant.” Bank of America.

Chishti, S., & Barberis, J. (2016). The FinTech Book: The Financial Technology Handbook for Investors, Entrepreneurs, and Visionaries. Wiley.

Deloitte. (2020). AI in Financial Services: The Future of Financial Services. Deloitte Insights.

Dixit, S., & Shukla, A. (2024). Innovation for Efficient, Effective and Economic Patient-centric Solutions: Global Collaboration holds Promise and Potential.

VOM Blogs [Internet]. Available from: https://9vom.blogspot.com/2024/06/innovation-for-efficienteffective-and.html

Mishra, S. (2023). Exploring the impact of AI-based cyber security financial sector management. Applied Sciences, 13(10), 5875.

Mohanty, B., & Mishra, S. (2023). Role of Artificial Intelligence in Financial Fraud Detection. Academy of Marketing Studies Journal, 27(S4).

Sharma, A. (2025). Applications of Generative AI in Healthcare: Transforming Medical Research, Documentation, and Patient Engagement. Global South Healthcare Journal, 1(1), 40–43.

Morini, M. (2019). Machine Learning in Financial Markets: A Guide to Market Data Analysis. Wiley.

Sharma, A. (2024). Chaos Engineering in Large Language Models: Resilience and Robustness Testing (in Press).

Sharma, A. (2024). Green AI: Reducing the Environmental Impact of AI Model Training and Deployment.

Sinha, M., Chacko, E., & Makhija, P. (2022). AI based technologies for digital and banking fraud during covid-19. In Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems (pp. 443-459). Cham: Springer International Publishing.

Sood, P., Sharma, C., Nijjer, S., & Sakhuja, S. (2023). Review the role of artificial intelligence in detecting and preventing financial fraud using natural language processing. International Journal of System Assurance Engineering and Management, 14(6), 2120-2135.

Varian, H. R. (2014). Big Data: New Tricks for Econometrics. Journal of Economic Perspectives, 28(2), 3-28.