Intelligent Cloud Architecture for Secure Healthcare Governance Risk Digital Operations and EV Ecosystems
DOI:
https://doi.org/10.15662/IJRAI.2024.0706033Keywords:
Intelligent Cloud Architecture, Healthcare Governance, Risk Management, Digital Operations, Electric Vehicle Ecosystems, Cybersecurity, Data Governance, AI, IoT, ComplianceAbstract
Intelligent cloud architecture has emerged as a foundational enabler for secure, scalable, and interoperable digital ecosystems across healthcare and electric vehicle (EV) domains. The convergence of cloud computing, artificial intelligence, Internet of Things (IoT), and cybersecurity frameworks enables organizations to manage sensitive data, ensure regulatory compliance, optimize digital operations, and support sustainable mobility infrastructures. In healthcare, cloud-based intelligent systems facilitate secure data sharing, clinical decision support, governance automation, and risk mitigation while complying with strict regulatory requirements such as HIPAA and GDPR. Similarly, EV ecosystems rely on cloud intelligence to manage charging infrastructure, vehicle telemetry, energy optimization, and cybersecurity threats across distributed networks. This paper proposes an integrated intelligent cloud architecture designed to address governance, risk, and operational challenges across healthcare and EV ecosystems. The architecture emphasizes security-by-design, data governance, interoperability, real-time analytics, and adaptive risk management. A comprehensive literature review identifies existing gaps in cross-domain cloud governance and security frameworks. The proposed methodology outlines architectural components, data flows, security mechanisms, and evaluation metrics. The study highlights advantages, limitations, and future research directions, demonstrating how intelligent cloud architectures can serve as a unified digital backbone for secure, resilient, and sustainable digital ecosystems.
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