Transforming Banking in the Digital Age: The Strategic Integration of Large Language Models and Multi-Cloud Environments |
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| © 2024 by IJCTT Journal | ||
| Volume-72 Issue-4 |
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| 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, https://doi.org/10.14445/22312803/IJCTT-V72I4P110
Abstract
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.
Keywords
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.
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