AI-Powered Cloud Analytics Framework for Ethical Financial Risk Assessment in SAP-Oriented Business Management Systems using SVM
DOI:
https://doi.org/10.15662/IJARCST.2025.0806014Keywords:
AI-Powered Cloud Analytics, Ethical Financial Risk Assessment, SAP-Oriented Systems, Business Management Systems, Support Vector Machine, AI Governance, Risk IntelligenceAbstract
This study introduces an AI-powered cloud analytics framework for conducting ethical financial risk assessment within SAP-oriented Business Management Systems (BMS). The proposed architecture integrates Support Vector Machine (SVM) algorithms with cloud-based data intelligence to enhance predictive accuracy and decision transparency in financial operations. By combining AI-driven analytics and SAP-integrated data orchestration, the framework enables real-time identification of risk patterns, fraud anomalies, and compliance deviations across distributed enterprise networks. The system emphasizes ethical AI governance, ensuring data privacy, algorithmic fairness, and accountability throughout the financial risk evaluation process. Leveraging cloud computing provides scalability and resilience, while SVM ensures precise classification and modeling of financial risk variables. Experimental results demonstrate improved prediction accuracy, faster processing times, and reduced operational risk. The research contributes to the evolution of responsible AI ecosystems, offering organizations a sustainable approach to automate risk intelligence and ethical financial decision-making within SAP-based infrastructures
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