AI-Enabled Cloud-Native Development Framework for Banking Ecosystems: Integrating Oracle EBS for Intelligent Financial Operations
DOI:
https://doi.org/10.15680/IJCTECE.2023.0606005Keywords:
AI-Enabled Oracle EBS, Cloud-Native Development, Banking Ecosystem, Financial Operation, Machine Learning, Natural Language Processing, Intelligent Automation, Hybrid Cloud, Microservices Architecture, Predictive Analytics, DevOps, Digital Transformation, Financial Intelligence.Abstract
The convergence of Artificial Intelligence (AI) and cloud-native technologies is revolutionizing digital banking operations by enabling intelligent, scalable, and resilient enterprise frameworks. This paper proposes an AI-enabled cloud-native development framework that integrates Oracle E-Business Suite (EBS) to optimize financial operations within modern banking ecosystems. The framework leverages microservices architecture, container orchestration, and machine learning (ML) models to enhance automation, decision intelligence, and system adaptability. By embedding AI-driven analytics and Natural Language Processing (NLP) capabilities within Oracle EBS modules, the system facilitates intelligent transaction processing, anomaly detection, and real-time financial forecasting. Cloud-native deployment ensures scalability and continuous delivery across hybrid infrastructures, while data governance and security layers maintain regulatory compliance and operational transparency. Experimental validation demonstrates significant improvements in financial data accuracy, processing efficiency, and predictive insight generation. The proposed framework provides a strategic foundation for banks to transition from traditional ERP workflows to intelligent, cloud-optimized operations that foster innovation, agility, and customer-centric digital transformation.
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