Cloud Driven Enterprise Network Architecture for Oracle HR Systems Government Services and Biomedical Artificial Intelligence Platforms

Abstract

Cloud-driven enterprise network architecture plays a critical role in supporting integrated human resource systems, digital government services, and biomedical artificial intelligence (AI) platforms. Modern organizations increasingly rely on scalable cloud infrastructures to manage workforce operations, public service delivery, and data-intensive biomedical research. Enterprise solutions such as Oracle Corporation Human Resource (HR) systems are widely deployed across government institutions for workforce management, payroll automation, and compliance monitoring. Simultaneously, cloud ecosystems provided by Amazon Web Services and Microsoft Azure enable high-performance computing, secure data exchange, and AI-driven biomedical analytics.
This research examines architectural frameworks integrating cloud-native infrastructure, software-defined networking (SDN), zero-trust security, and AI orchestration layers within enterprise networks. It evaluates interoperability among Oracle HR platforms, digital government service portals, and biomedical AI research systems that process large-scale genomic and clinical datasets.
The study explores performance optimization, cybersecurity integration, regulatory compliance, and governance models necessary for sustainable digital transformation. By analyzing technical components and operational methodologies, this research proposes a comprehensive architecture model designed to enhance scalability, resilience, security, and innovation across public sector and biomedical AI ecosystems.