AI-Driven Oracle EBS Framework for Cloud-Enabled Banking Ecosystems: Enhancing Financial Intelligence through Cloud Computing Integration
DOI:
https://doi.org/10.15662/IJARCST.2023.0606009Keywords:
AI-Driven Oracle EBS, Cloud Computing, Financial Intelligence, Banking Ecosystem, Natural Language Processing (NLP), Predictive Analytics, Machine Learning, Cloud-Native Architecture, Intelligent Automation, FinTech Integration, Hybrid Cloud, Cognitive Banking, Data-Driven Decision MakingAbstract
The rapid evolution of cloud computing and artificial intelligence (AI) is reshaping the digital banking landscape by enabling more intelligent, scalable, and adaptive enterprise systems. This paper presents an AI-driven Oracle E-Business Suite (EBS) framework designed for cloud-enabled banking ecosystems to enhance financial intelligence, operational agility, and data-driven decision-making. The proposed framework integrates Oracle EBS with AI-powered analytics, Natural Language Processing (NLP), and cloud-native architectures to facilitate real-time financial insights, predictive risk management, and intelligent process automation. Leveraging hybrid cloud infrastructure and machine learning algorithms, the framework improves transaction accuracy, fraud detection, and compliance reporting while reducing latency in financial operations. Furthermore, the system employs API-based microservices for seamless interoperability across Oracle EBS modules and third-party fintech solutions. Experimental evaluation demonstrates improved system scalability, performance efficiency, and financial data integrity. This research highlights how cloud-enabled AI integration within Oracle EBS can redefine digital transformation strategies in the banking sector by enabling intelligent automation, predictive analytics, and cognitive financial ecosystems.
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