Transforming Banking in the Digital Age: The Strategic Integration of Large Language Models and Multi-Cloud Environments

© 2024 by IJCTT Journal
Volume-72 Issue-4
Year of Publication : 2024
Authors : Jabin Geevarghese George
DOI :  10.14445/22312803/IJCTT-V72I4P110

How to Cite?

Jabin Geevarghese George, "Transforming Banking in the Digital Age: The Strategic Integration of Large Language Models and Multi-Cloud Environments," International Journal of Computer Trends and Technology, vol. 72, no. 4, pp. 77-86, 2024. Crossref,

In today's rapidly evolving financial landscape, banks face the dual challenge of enhancing customer experiences and adhering to stringent regulatory standards. This study explores the transformative potential of integrating Large Language Models (LLMs) and multi-cloud environments in the banking sector. This paper proposes a novel framework that significantly enhances service delivery and compliance while fostering operational innovations. By conducting a detailed case study of a modernized bank using Kore.AI and the Devin framework, this paper highlights the practical impacts of these technologies in overcoming traditional banking challenges. Our findings demonstrate that strategic utilization of LLMs and multi-cloud systems not only provides scalable solutions but also bolsters regulatory compliance, ultimately supporting a transition towards more adaptable, efficient, and customer-focused banking practices.

Large Language Models (LLMs), Multi Cloud Computing in Banking, Digital Banking Transformation, AI in Financial Services, Compliance and Ethics in AI banking, Innovation in Banking Technology.


[1] Shahriar Akter et al., “Transforming Business Using Digital Innovations: The Application of AI, Blockchain, Cloud and Data Analytics,” Annals of Operations Research, vol. 308, pp. 7-39, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[2] A. Andrea, “AI-driven Cloud Management Platforms for Financial Institutions,” International Journal of Cloud Computing and Services Science, vol. 11, no. 3, pp. 234-248, 2023.
[3] Chatzithanasis Georgios et al., “Exploring Cost-efficient Bundling in a Multi-cloud Environment,” Simulation Modelling Practice and Theory, vol. 111, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[4] F. Coelho, M. Nogueira, and M. Vieira, “Federated Learning: Enhancing Privacy in Financial Services' LLM Applications,” Journal of Financial Technology & Privacy, vol. 5, no. 4, pp. 112-127, 2023.
[5] A. Duisberg, “Multi-cloud Strategies for Regulatory Compliance in Global Banking,” Journal of Cloud Banking, vol. 4, no. 2, pp. 56- 78, 2022.
[6] J. Evans, and K. Greene, “Microservices Architecture for AI Integration in Banking Systems,” Banking Technology Review, vol. 19, no. 1, pp. 88-102, 2022.
[7] Ole Hanseth, and Eric Monteiro, “Understanding Information Infrastructure,” Unpublished Manuscript, 1998.
[Google Scholar]
[8] Umar Iqbal, Tadayoshi Kohno, and Franziska Roesner, “LLM Platform Security: A Systematic Evaluation Framework,” Journal of Cybersecurity and Privacy, arXiv, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[9] K.A. Torkura et al., “Continuous Auditing and Threat Detection in Multi-cloud Infrastructure,” Computers & Security, vol. 102, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Yinheng Li et al., “Large Language Models in Finance: A Survey,” Proceedings of the Fourth ACM International Conference on AI in Finance, pp. 374–382, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Peter Mell, and Timothy Grance, “The NIST Definition of Cloud Computing,” Recommendations of the National Institute of Standards and Technology Special Publication, 2011.
[Google Scholar] [Publisher Link]
[12] Adam S. Miner, Liliana Laranjo, and A. Baki Kocaballi, “Chatbots in the Fight against the COVID-19 Pandemic,” NPJ Digital Medicine, vol. 3, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[13] J. Mökander, “Mitigating Bias in AI: Strategies for Financial Institutions,” Journal of AI Ethics and Governance, vol. 2, no. 1, pp. 34- 46, 2023.
[14] Ashish Vaswani et al., “Attention is all you Need,” Advances in Neural Information Processing Systems, 2017.
[Google Scholar] [Publisher Link]
[15] Robert K. Yin, Case Study Research: Design and Methods, 5th ed., SAGE Publications, 2014.
[Publisher Link]