Cognitive Cloud Framework for AI-Assisted SAP Financial Modernization and Database Reliability Testing

Authors

  • John Samuel Prabakaran Cloud Architect, Berlin, Germany Author

DOI:

https://doi.org/10.15662/IJEETR.2025.0705002

Keywords:

Artificial Intelligence (AI), Cloud Computing, SAP Integration, Financial Modernization, Database Reliability Testing, Machine Learning (ML), Predictive Analytics

Abstract

This research introduces a Cognitive Cloud Framework designed to facilitate AI-assisted modernization of SAP-based financial systems with a focus on database reliability testing and validation. The proposed framework integrates artificial intelligence (AI), cloud computing, and SAP enterprise modules to enhance data accuracy, financial performance, and system dependability. By employing machine learning (ML) algorithms, the framework automates database integrity checks, anomaly detection, and financial data consistency analysis across distributed cloud environments. The model supports continuous testing, predictive maintenance, and adaptive risk management to ensure high reliability in financial transactions and reporting. Integration with SAP’s business intelligence components enables real-time monitoring, automated auditing, and streamlined modernization of legacy financial processes. Experimental assessments reveal significant improvements in data validation speed, fault detection, and overall financial system transparency. This study offers a scalable, intelligent, and secure foundation for modernizing financial infrastructures through AI-driven automation and cloud-enabled database reliability testing in SAP environments.

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Published

2025-11-03

How to Cite

Cognitive Cloud Framework for AI-Assisted SAP Financial Modernization and Database Reliability Testing. (2025). International Journal of Engineering & Extended Technologies Research (IJEETR), 7(5), 10559-10564. https://doi.org/10.15662/IJEETR.2025.0705002