AI-Driven Cloud Framework for Healthcare and Banking Real-Time ANN Integration with Oracle EBS for Autonomous Detection and Quality Assurance

Main Article Content

Manoj Vinod Deshmukh

Abstract

This paper proposes an AI-enhanced cloud framework that integrates Artificial Neural Networks (ANNs) with Oracle E-Business Suite (EBS) to achieve real-time autonomous detection, correction, and quality assurance in both healthcare and banking domains. As organizations migrate mission-critical workloads to the cloud, maintaining operational accuracy, compliance, and data integrity becomes essential. The proposed system employs ANN models for anomaly detection, reinforcement learning for adaptive correction, and predictive analytics for proactive quality management. It operates over a hybrid Oracle Cloud Infrastructure, ensuring high availability, fault tolerance, and data security through Zero-Trust principles and role-based access controls.


 


In healthcare, the framework enhances patient data validation, insurance claim processing, and error correction in electronic health records. In banking, it supports fraud detection, transaction verification, and regulatory compliance auditing. The integration of ANNs enables the framework to learn complex data patterns across diverse datasets, while real-time orchestration through Oracle EBS APIs facilitates automated workflow correction and data governance.


 


Experiments conducted on synthetic and real-world datasets demonstrate up to 92% anomaly detection accuracy and a 30% reduction in data correction latency. The framework’s self-healing mechanisms significantly minimize manual interventions, leading to cost savings and operational efficiency. This research bridges the gap between AI-driven automation and enterprise cloud governance, offering a scalable, secure, and intelligent system adaptable to diverse sectors. The study concludes that combining ANN intelligence with enterprise-grade EBS systems enhances both data reliability and decision-making efficiency, providing a blueprint for future autonomous cloud systems in compliance-driven industries.

Article Details

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Articles

How to Cite

AI-Driven Cloud Framework for Healthcare and Banking Real-Time ANN Integration with Oracle EBS for Autonomous Detection and Quality Assurance. (2025). International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 8(6), 13092-13096. https://doi.org/10.15662/IJRPETM.2025.0806009

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