Smart AI-Cloud Financial Ecosystem: Oracle-SAP Integrated Banking with Wireless BMS and KNN-Driven Intelligence
DOI:
https://doi.org/10.15662/IJARCST.2025.0806007Keywords:
AI-Cloud Financial Ecosystem, Oracle-SAP Integration, Wireless Building Management System (BMS), K-Nearest Neighbor (KNN) Analytics, Predictive Banking Intelligence, Fraud Detection and Risk Mitigation, Data-Driven Decision Making, Smart Banking OperationsAbstract
The modern financial sector is experiencing rapid transformation driven by artificial intelligence (AI), cloud computing, and advanced enterprise software platforms. This paper presents a Smart AI-Cloud Financial Ecosystem that integrates Oracle and SAP solutions to provide a unified, intelligent banking infrastructure capable of handling complex operations efficiently. The framework leverages wireless Building Management Systems (BMS) to monitor and manage physical and IT infrastructure in real time, ensuring optimal energy consumption, enhanced security, and seamless operational continuity across banking facilities. At the core of the system lies K-Nearest Neighbor (KNN)-driven intelligence, which enables predictive analytics for multiple financial applications, including fraud detection, credit risk assessment, customer behavior analysis, and personalized service recommendations. By combining AI with cloud-native scalability, the ecosystem facilitates data-driven decision-making, improves operational efficiency, and reduces latency in transaction processing and risk evaluation. Furthermore, the integration of Oracle and SAP platforms ensures compatibility with existing enterprise processes, enabling secure data management, automated workflow optimization, and regulatory compliance. The proposed architecture supports distributed and hybrid cloud deployment models, making it adaptable for both centralized banking operations and geographically dispersed branches. Overall, this AI-Cloud integrated financial ecosystem represents a forward-looking approach for next-generation banking, offering scalability, reliability, security, and actionable intelligence. The system not only enhances decision-making and operational efficiency but also improves customer experience and strengthens financial resilience in an increasingly competitive digital banking landscape.
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