AI-Enabled Cloud Architecture for Banking ERP Systems with Intelligent Data Storage and Automation using SAP
DOI:
https://doi.org/10.15662/IJEETR.2022.0401004Keywords:
AI Integration, SAP HANA, Cloud Computing, Banking ERP, Intelligent Storage, Automation, CybersecurityAbstract
The increasing digital transformation across the banking sector requires scalable, secure, and intelligent platforms capable of supporting real-time decision-making and automated financial operations. This study presents an AI-enabled cloud architecture for banking ERP systems integrated with SAP to enhance automation, optimize workflows, and ensure secure data management. The proposed framework leverages SAP HANA’s in-memory computing and cloud-native capabilities to accelerate analytics, improve transactional efficiency, and reduce operational latency. Machine learning models are incorporated to support intelligent fraud detection, predictive risk assessment, and process automation. A secure, intelligent storage layer ensures compliance with financial regulations while enabling seamless data retrieval and lifecycle governance. The architecture also incorporates Zero-Trust cybersecurity principles to protect against evolving threats and ensure resilient operations. Overall, the model demonstrates a unified platform that improves scalability, enhances automation, and strengthens digital banking ecosystem performance.
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