A Hybrid AI-Cloud Model Employing Fuzzy Logic for Real-Time Banking Analytics in SAP and Oracle Frameworks
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Abstract
The rapid digital transformation in the banking sector necessitates intelligent, adaptive, and real-time analytical frameworks for improved decision-making and operational efficiency. This study proposes a Hybrid AI-Cloud Model that integrates Fuzzy Logic with SAP and Oracle-based systems to enhance financial analytics and automate critical banking operations. The model leverages artificial intelligence for predictive insights, fraud detection, and risk assessment, while the cloud infrastructure ensures scalability, interoperability, and secure data handling. Fuzzy Logic is employed to manage uncertainty in financial decision parameters, enabling more precise and human-like reasoning under dynamic market conditions. The hybrid integration with SAP and Oracle platforms supports real-time transaction monitoring, liquidity forecasting, and compliance management. Experimental results demonstrate that the proposed framework significantly improves analytical accuracy, response time, and operational reliability in complex banking environments.
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