Designing Enterprise Systems for the Future of Financial Services: The Intersection of AI, Cloud-Native Microservices, and Intelligent Data Processing

Financial services enterprise systems are at a critical inflection point as traditional monolithic architectures struggle to meet evolving market demands, customer expectations, and regulatory requirements. This article explores the transformative potential at the intersection of artificial intelligence, cloud-native microservices, and intelligent data processing for building next-generation financial systems. It examines how these technological paradigms can be leveraged to overcome legacy challenges and regulatory pressures while creating more resilient, compliant, and innovative enterprise architectures. It provides a comprehensive roadmap for transformation, including assessment strategies, incremental modernization patterns, and DevSecOps implementations tailored to financial services. Through case studies of successful implementations and analysis of common challenges, the article offers practical insights for financial institutions navigating this complex evolution. Looking ahead, It identifies quantum-ready architecture, decentralized finance integration, and ambient computing as key developments that will shape future financial enterprise systems, emphasizing the importance of strategic preparation in an increasingly digital financial landscape.

Authors

Publication Details

Journal
European Journal of Computer Science and Information Technology
Published
2025-04-15
DOI
https://doi.org/10.37745/ejcsit.2013/vol13n2091103
Citations
1
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
2.11
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article

Designing Enterprise Systems for the Future of Financial Services: The Intersection of AI, Cloud-Native Microservices, and Intelligent Data Processing

Srinivasa Rao Kurakula
1 citations
European Journal of Computer Science and Information Technology
Impact of AI and Big Data on Business and Society
2.11
article

Designing Enterprise Systems for the Future of Financial Services: The Intersection of AI, Cloud-Native Microservices, and Intelligent Data Processing

Srinivasa Rao Kurakula
article en
1 citations

Abstract

Financial services enterprise systems are at a critical inflection point as traditional monolithic architectures struggle to meet evolving market demands, customer expectations, and regulatory requirements. This article explores the transformative potential at the intersection of artificial intelligence, cloud-native microservices, and intelligent data processing for building next-generation financial systems. It examines how these technological paradigms can be leveraged to overcome legacy challenges and regulatory pressures while creating more resilient, compliant, and innovative enterprise architectures. It provides a comprehensive roadmap for transformation, including assessment strategies, incremental modernization patterns, and DevSecOps implementations tailored to financial services. Through case studies of successful implementations and analysis of common challenges, the article offers practical insights for financial institutions navigating this complex evolution. Looking ahead, It identifies quantum-ready architecture, decentralized finance integration, and ambient computing as key developments that will shape future financial enterprise systems, emphasizing the importance of strategic preparation in an increasingly digital financial landscape.

European Journal of Computer Science and Information TechnologyVol. 13(20)
Openalex Percentile: Top 14%
Impact of AI and Big Data on Business and Society
2.11
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Designing Enterprise Systems for the Future of Financial Services: The Intersection of AI, Cloud-Native Microservices, and Intelligent Data Processing — Srinivasa Rao Kurakula · European Journal of Computer Science and Information Technology (2025) | TGRS Research Map | TGRS