An AI-Driven Cloud-Native Intelligence Framework for Secure and Predictive Enterprise Systems across Healthcare Finance and Insurance
DOI:
https://doi.org/10.15662/IJEETR.2024.0604003Keywords:
Cloud-Native, Artificial Intelligence, Machine Learning, Predictive Analytics, Enterprise Systems, Security, Healthcare, Finance, Insurance, Federated LearningAbstract
Cloud-native computing and artificial intelligence (AI) have rapidly transformed modern enterprise systems, driving scalability, resilience, and predictive capabilities. However, healthcare, finance, and insurance sectors face significant challenges integrating secure, interoperable, and intelligent solutions due to regulatory requirements, sensitive data handling, and legacy systems. This paper proposes a unified AI-driven, cloud-native intelligence framework designed to enable secure, scalable, and predictive enterprise systems across these domains. The framework emphasizes modular architecture, microservices, secure federated learning, domain-specific compliance, and predictive analytics. We also discuss implementation considerations, integration strategies, and future research directions. With the increasing importance of real-time insights and secure data collaboration, this framework aims to facilitate next-generation enterprise systems that leverage cloud-native and machine learning capabilities without compromising performance or security.
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