Real-Time AI-Cloud Framework for Financial Optimization in SAP-Integrated BMS Upgrades Using Kubernetes
DOI:
https://doi.org/10.15662/IJRAI.2025.0806803Keywords:
AI, Cloud Computing, Kubernetes, SAP Integration, Business Management System, Real-Time Analytics, Financial OptimizationAbstract
The growing complexity of enterprise financial systems demands intelligent, scalable, and real-time data processing solutions. This paper presents a Real-Time AI-Cloud Framework designed to optimize financial operations within SAP-integrated Business Management System (BMS) upgrades, leveraging the orchestration power of Kubernetes. The proposed model employs artificial intelligence (AI) for predictive analytics, anomaly detection, and dynamic decision-making, while the cloud-native architecture ensures scalability, resilience, and fault tolerance. Kubernetes automates deployment, load balancing, and resource management, enabling seamless integration across SAP modules and BMS workflows. This hybrid infrastructure enhances financial forecasting accuracy, operational transparency, and cost efficiency. The framework also supports continuous upgrades of BMS components, ensuring real-time adaptability to business demands and regulatory compliance. The results demonstrate improved financial performance analytics and robust automation in enterprise environments.
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