Revolutionizing banking and finance: The role of artificial intelligence in shaping the future
Keywords:
Artificial Intelligence, Banking, Finance, Machine Learning, Fraud Detection, Credit Scoring, Investment StrategyAbstract
Among the many global businesses that have been profoundly affected by Banking and finance have been at the forefront of AI adoption, which has transformed conventional operations by providing new insights into old challenges, better decision-making, and exceptional customer service. With the power of natural language processing, chatbots and virtual assistants have revolutionised customer service. They provide round-the-clock support, personalised suggestions, and instantaneous help. Artificial intelligence (AI) apps improve operational efficiency in the banking industry by automating data input, compliance monitoring, and report production, among other repetitive operations. Automating routine tasks via robotic process automation (RPA) helps cut down on human error, speed up procedures, and save money. Artificial intelligence (AI) helps with regulatory compliance by deciphering complex legal frameworks, which is crucial for keeping up with the ever-changing financial rules. Financial organisations may provide loans with greater accuracy and responsibility with the use of AI algorithms that enhance credit risk assessment, hence minimising default risks. Another domain where AI has shown tremendous promise is investment management. The use of machine learning allows robo-advisors and algorithmic trading to optimise portfolio performance while reducing risk.
Downloads
References
1. Desmond Haynes (2022). Artificial Intelligence in Financial Services: Revolutionizing Risk Management and Customer Engagement. Journal of Financial Innovation, 12(4), 45–60. https://doi.org/10.1007/s11234-022-04567-3
2. Brown, T., & Smith, J. (2020). AI-Driven Fraud Detection: Enhancing Financial Security Through Machine Learning. International Journal of Finance and Banking, 28(3), 15–27. https://doi.org/10.1016/j.ijfb.2020.06.012
3. M. Nanda Kishore Research scholar sri krishna devaraya university (2025) Review of Literature on Applications of artificial intelligence in banking and finance: opportunities and challenges
4. Chen, Y., Lin, H., & Wang, Z. (2021). AI in Portfolio Management: Optimizing Investment Strategies and Risk Assessment. Computational Economics, 58(2), 129–150. https://doi.org/10.1007/s10614-021-10057-4
5. Davis, K., & Anderson, P. (2019). The Role of AI in Regulatory Compliance and Risk Mitigation in Banking. Journal of Banking Regulation, 14(1), 34–49. https://doi.org/10.1177/10863022-20190124
6. Green, M., & Thomas, E. (2020). Transforming Customer Experience with AI-Powered Chatbots and Virtual Assistants in Banking. Journal of Customer Management, 17(3), 78–94. https://doi.org/10.2139/cust-manage.2020.09
7. Harris, R. (2022). Blockchain and AI: The Next Frontier in Financial Transactions and Security. Journal of Digital Finance, 9(1), 22–39. https://doi.org/10.1177/11293456-digifin2022
8. Johnson, L., & Patel, A. (2020). Sentiment Analysis and AI: Predicting Market Trends in Financial Services. Journal of Economic Research, 45(5), 67–82. https://doi.org/10.1093/jecr-2020-0807
9. Martinez, F., Singh, A., & Taylor, C. (2020). Ethics and Bias in AI: Challenges for the Financial Sector. Ethics in AI and Finance, 11(3), 56–73. https://doi.org/10.1080/11234-202011-biasai
10. Dr. Naveen Prasadula (2023). AI-Driven Financial Inclusion: Bridging the Gap in Emerging Economies. International Journal of Development Economics, 15(2), 101–117. https://doi.org/10.1007/ijde-2023-ai
11. Taylor, M., & Carter, J. (2019). Algorithmic Trading and AI: Revolutionizing Investment Decisions. Computational Finance Review, 16(2), 45–64. https://doi.org/10.1002/cfr.2019
12. Wilson, P., & Lee, J. (2020). Natural Language Processing in Banking: Improving Customer Engagement and Retention. Journal of AI Applications, 21(1), 89–102. https://doi.org/10.1177/112022-nlpai2020
13. Zhang, L., & Brown, K. (2021). AI in Credit Risk Management: Enhancing Accuracy and Efficiency. Risk Management Journal, 18(2), 112–129. https://doi.org/10.1007/rmj-2021-ai
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 The International tax journal

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.