Leveraging Generative AI in Cloud Environments for Secure Online Financial and SAP Data Management

Hugo Alexei Dmitri

doi:10.15662/IJRAI.2022.0706013

Authors

Hugo Alexei Dmitri AI Researcher, Lyon, France Author

DOI:

https://doi.org/10.15662/IJRAI.2022.0706013

Keywords:

Generative AI, Cloud Computing, Financial Data Management, SAP Integration, Secure ETL, AI Automation, Data Security, Real-Time Analytics

Abstract

The rapid expansion of cloud computing and artificial intelligence technologies has transformed financial data management, demanding solutions that are both secure and scalable. This paper presents a comprehensive framework that integrates generative AI within cloud environments to enhance online financial data processing and SAP system management. The proposed approach leverages AI-driven automation for data extraction, transformation, and loading (ETL), ensuring efficient handling of large-scale transactional and operational data while maintaining strict compliance with security protocols. Generative AI models are employed to intelligently analyze, predict, and optimize financial workflows, providing real-time insights and decision support. By integrating these capabilities with SAP enterprise systems, organizations can achieve seamless interoperability, improved accuracy in financial reporting, and accelerated response to market dynamics. The framework emphasizes robust encryption, access control, and continuous monitoring to safeguard sensitive financial data against cyber threats. Experimental evaluation demonstrates significant improvements in processing efficiency, data reliability, and operational security, establishing the proposed model as a viable solution for next-generation financial data management in cloud-native environments.

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