AI-Powered Neural Network-Driven MIS and Event Classification in Financial Clouds with AR/VR and PHI-Safe DiffusionClaims
DOI:
https://doi.org/10.15680/IJCTECE.2025.0806002Keywords:
Neural networks, Financial clouds, MIS, Event classification, AR/VR, PHI-safe DiffusionClaims, Anomaly detection, Privacy-preserving AI, Data security, Immersive analyticsAbstract
The rapid evolution of financial cloud ecosystems requires robust, intelligent, and privacy-preserving solutions for managing Management Information Systems (MIS) and event classification. This paper proposes an AI-powered, neural network-driven framework that leverages deep learning to enhance MIS decision support and automate event classification across distributed financial cloud infrastructures. The system integrates augmented reality (AR) and virtual reality (VR) interfaces to provide immersive analytics and real-time visualization for stakeholders, improving situational awareness and collaboration. To safeguard sensitive personal health information (PHI) in insurance and claims processing, the framework incorporates a PHI-safe DiffusionClaims mechanism, ensuring compliance with privacy regulations while enabling secure data sharing. Experimental validation demonstrates the framework’s ability to deliver high-accuracy event classification, real-time anomaly detection, and optimized decision-making with scalable performance in multi-tenant financial cloud environments. This research highlights the convergence of AI, cloud computing, immersive technologies, and privacy-preserving techniques, paving the way for next-generation financial information systems that are adaptive, secure, and user-centric.
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