Hybrid Cloud-Based AI Framework for Unified Financial Management in SAP and Oracle Banking Systems
DOI:
https://doi.org/10.15680/IJCTECE.2024.0706008Keywords:
Artificial Intelligence, Hybrid Cloud, Financial Management, SAP Integration, Oracle Systems, Banking Automation, Predictive Analytics, Data Interoperability.Abstract
The convergence of artificial intelligence (AI) and hybrid cloud computing is reshaping the digital banking ecosystem, enabling seamless integration and intelligent automation across enterprise platforms. This paper proposes a Hybrid Cloud-Based AI Framework designed to unify financial management processes across SAP and Oracle banking systems. The framework leverages AI-driven analytics and automation to optimize data flow, transaction monitoring, and compliance management across multi-cloud and on-premise infrastructures. By integrating SAP and Oracle environments within a secure hybrid cloud, the system ensures real-time interoperability, enhanced scalability, and improved decision accuracy. Advanced machine learning models are employed for predictive financial analysis, fraud detection, and dynamic risk assessment, while cloud orchestration tools maintain consistent data governance and regulatory compliance. Experimental evaluations demonstrate that the proposed framework significantly enhances performance, operational resilience, and cost efficiency in modern banking workflows. This study provides a foundational architecture for future AI-enabled financial ecosystems operating in hybrid enterprise infrastructures
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