Cloud-Native AI Integration with Oracle Cloud for Transforming Healthcare and Banking: Smart Services, Threat Protection, and Quality Assurance

Authors

  • Bhavesh Dilip Patel Senior Cloud Engineer, Tororo, Uganda Author

DOI:

https://doi.org/10.15680/IJCTECE.2025.0806810

Keywords:

Cloud-native AI, Oracle Cloud Infrastructure, Smart Healthcare, Digital Banking, Threat Protection, Quality Assurance, Secure Architecture

Abstract

The rapid digitalization of healthcare and banking has accelerated the need for intelligent, secure, and scalable cloud-native solutions. This paper presents a unified framework for Cloud-Native AI Integration with Oracle Cloud to enable smart services, proactive threat protection, and high-assurance quality validation across both domains. Leveraging Oracle Cloud Infrastructure (OCI) capabilities—including AI services, autonomous databases, identity and access management, and advanced analytics—the proposed architecture supports real-time decision-making, predictive analysis, automated workflows, and secure data interoperability. In healthcare, the system enhances diagnostics, patient monitoring, and clinical data management, while in banking it strengthens fraud detection, credit risk analytics, and customer service automation. The framework integrates multilayered security, zero-trust access, and threat intelligence for robust protection against evolving cyber risks. Comprehensive testing methods, including performance, security, and reliability evaluations, ensure operational resilience and compliance. The study demonstrates how AI-driven cloud-native architectures can modernize critical sectors, reduce infrastructure complexity, improve service intelligence, and deliver secure, scalable, and trustworthy digital ecosystems.

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Published

2025-11-17

How to Cite

Cloud-Native AI Integration with Oracle Cloud for Transforming Healthcare and Banking: Smart Services, Threat Protection, and Quality Assurance. (2025). International Journal of Computer Technology and Electronics Communication, 8(Special Issue 1), 50-54. https://doi.org/10.15680/IJCTECE.2025.0806810

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