Next-Generation Cloud-SAP Software Model for Machine Learning–Driven Financial Insights and Database Intelligence
DOI:
https://doi.org/10.15662/IJEETR.2024.0606003Keywords:
Cloud computing, SAP integration, Machine learning, Financial analytics, Artificial intelligence, Database intelligence, Predictive modeling, Real-time decision-makingAbstract
This study introduces a next-generation Cloud-SAP software model designed to revolutionize financial data management and decision-making through artificial intelligence (AI) and machine learning (ML) integration. The proposed framework leverages cloud computing for scalable data processing, SAP modules for enterprise resource planning (ERP) automation, and intelligent database systems for real-time analytics. By embedding ML algorithms within SAP-based financial workflows, the model enables predictive insights, risk mitigation, and enhanced data-driven strategies across corporate finance operations. The architecture supports adaptive learning from transactional data, ensuring continuous optimization of forecasting accuracy and anomaly detection. Experimental validation demonstrates significant improvements in financial reporting efficiency, data consistency, and operational intelligence. This research highlights the transformative potential of AI and cloud-enabled SAP systems in shaping the future of intelligent financial ecosystems.
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