Jambula, Satwik Reddy (2025) Demystifying the modern fintech technology stack: A comprehensive analysis of low-code platforms, cloud infrastructure and AI integration. World Journal of Advanced Engineering Technology and Sciences, 15 (3). pp. 745-751. ISSN 2582-8266
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Abstract
The modern FinTech landscape has been transformed by converging three interconnected technological pillars: low-code development platforms, cloud infrastructure, and artificial intelligence services. This comprehensive article examines how these technologies collectively redefine operational paradigms, customer experiences, and competitive dynamics within financial services. Low-code platforms dramatically compress innovation cycles while democratizing application development capabilities across organizational boundaries. Cloud infrastructure provides unprecedented scalability, resilience, and efficiency, enabling financial institutions to achieve substantial operational improvements while maintaining the rigorous availability requirements demanded by transaction-dependent services. Artificial intelligence capabilities transform raw data into actionable intelligence across multiple domains, including risk assessment, fraud prevention, customer experience, and market prediction. These core technologies are integrated and deployed through sophisticated API ecosystems, containerization architectures, and advanced automation frameworks that collectively form the foundation of modern financial technology stacks. The strategic implications extend far beyond technical implementation, creating new competitive dynamics that increasingly favor organizations capable of orchestrating these technologies into cohesive platforms that simultaneously address user experience, operational efficiency, regulatory compliance, and security requirements.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/wjaets.2025.15.3.0939 |
Uncontrolled Keywords: | Financial Technology Integration; Low-Code Platforms; Cloud Infrastructure; Artificial Intelligence; API Ecosystems |
Depositing User: | Editor Engineering Section |
Date Deposited: | 16 Aug 2025 13:00 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/4557 |