AI-Enabled Oracle EBS Framework for Banking Ecosystems: Advancing Financial Intelligence through Natural Language Processing

Mikkel Andreas Kristensen

doi:10.15662/IJRAI.2023.0603006

Authors

Mikkel Andreas Kristensen Senior Software Engineer, Denmark Author

DOI:

https://doi.org/10.15662/IJRAI.2023.0603006

Keywords:

Artificial Intelligence, Pediatric Healthcare, Cloud-Native BMS, Scalable Data Exchange, Image Denoising, Deadlock-Free Optimization, Secure Data Vaults, Firewall Intelligence, Healthcare IT Architecture, Real-Time Decision Support

Abstract

This paper presents an AI-driven software ecosystem designed to enhance pediatric healthcare through cloud-native Business Management Systems (BMS) upgrades. The ecosystem integrates scalable data exchange mechanisms, advanced image denoising techniques, and deadlock-free process optimization to improve diagnostic accuracy and operational efficiency. By leveraging secure data vaults and intelligent firewall systems, the proposed architecture ensures data integrity and privacy compliance. This approach aims to streamline healthcare workflows, reduce latency in data processing, and provide clinicians with real-time, interpretable insights, thereby facilitating informed decision-making in pediatric care.

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