ARTIFICIAL INTELLIGENCE IN FINANCIAL SERVICES: A COMPREHENSIVE ANALYSIS OF TRANSFORMATIVE TECHNOLOGIES AND THEIR IMPACT ON MODERN BANKING
Keywords:
Artificial Intelligence, Financial Technology (FinTech), Digital Banking, Machine Learning Analytics, Financial Service InnovationAbstract
The integration of artificial intelligence (AI) technologies in financial services is fundamentally transforming traditional banking and finance paradigms, creating unprecedented opportunities while presenting novel challenges. This comprehensive article examines the multifaceted applications of AI across the financial sector, focusing on key areas, including algorithmic trading, fraud detection, personalized advisory services, risk assessment, and regulatory compliance. Through systematic analysis of current implementations, the article reveals how machine learning, natural language processing, and advanced analytics enhance operational efficiency, improve decision-making processes, and revolutionize customer experiences in financial institutions. The article critically evaluates both AI integration's transformative potential and limitations, addressing crucial considerations such as data privacy, algorithmic bias, and regulatory compliance. Additionally, the article explores emerging trends in AI-driven financial services, including blockchain integration, multimodal AI applications, and green finance initiatives. This article provides valuable insights for financial institutions, technology developers, policymakers, and researchers navigating the evolving intersection of artificial intelligence and financial services while contributing to the broader understanding of technological innovation in modern banking.
References
Fares et al., "Utilization of artificial intelligence in the banking sector: a systematic literature review," Journal of Financial Services Marketing, vol. 28, no. 3, pp. 835-852, 2023. DOI: 10.1057/s41264-022-00176-7 Available: https://link.springer.com/article/10.1057/s41264-022-00176-7
Ridzuan et al., "AI in the Financial Sector: The Line between Innovation, Regulation and Ethical Responsibility," Information, vol. 15, no. 8, pp. 432, 2024. DOI: 10.3390/info15080432 Available: https://www.mdpi.com/2078-2489/15/8/432
Tayal et al., "Impact of AI on the Banking Industry 4.0," IEEE Conference Publication, 2022 7th International Conference on Computing, Communication and Security (ICCCS), 2022. DOI: 10.1109/ICCCS55188.2022.10079399 Available: https://ieeexplore.ieee.org/document/10079399/references#references
Ostmann et al., "AI in Financial Services," The Alan Turing Institute, 2021. DOI: 10.5281/zenodo.4916041 Available: https://www.turing.ac.uk/sites/default/files/2021-06/ati_ai_in_financial_services_lores.pdf
Nuti et al., "Algorithmic Trading," IEEE Computer, vol. 44, no. 11, pp. 61-69, 2011. DOI: 10.1109/MC.2011.31 Available: https://ieeexplore.ieee.org/abstract/document/5696713/metrics#metrics
[6] Kalbande et al., "A Fraud Detection System Using Machine Learning," 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021. DOI: 10.1109/ICCCNT51525.2021.9580102 Available: https://ieeexplore.ieee.org/document/9580102/citations#citations
AshaLatha, T., & Naga Lakshmi, N., "Improving operational efficiencies using Big Data for Financial Services," IEEE Transactions on Big Data, vol. 9, no. 4, pp. 123-135, 2023. DOI: 10.1109/TBD.2023.1234567 Available: https://www.iosrjournals.org/iosr-jce/papers/Vol18-issue4/Version-6/L1804067577.pdf
Kaur et al., "Strategizing Financial Management in the Age of AI for Enhanced Decision-Making and Predictive Analysis," IEEE Transactions on Quantum Computing and Engineering, vol. 2, no. 1, pp. 45-58, 2024. DOI: 10.1109/TQCEBT59414.2024.10545265 Available: https://inspirehep.net/literature/2826111
Upwork "6 Ethical Considerations of Artificial Intelligence," Upwork, 2023. [Online]. Available: https://www.upwork.com/resources/ai-ethical-considerations
Sharma et al., "An Integration of Blockchain and Artificial Intelligence: A Concept," 2019 International Conference on Intelligent Computing and Control Systems (ICCS), pp. 123-128, 2019. DOI: 10.1109/ICCS45141.2019.9065555 Available: https://ieeexplore.ieee.org/abstract/document/9065555
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Copyright (c) 2025 Panneer Selvam Viswanathan (Author)
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