Artificial Intelligence Powered Digital Convergence for Cloud Security, Healthcare Innovation, and Sustainable Systems

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Published: 2026-04-18
DOI: https://doi.org/10.15662/IJRPETM.2026.0902016
Keywords:
artificial intelligence, digital convergence, cloud security, healthcare innovation, sustainable systems, machine learning, edge computing, blockchain, zero trust, data governance, green computing

Main Article Content

Mahender Kumar
Independent Researcher, United Kingdom

Abstract

Artificial Intelligence (AI)-powered digital convergence is reshaping modern technological ecosystems by integrating cloud computing, healthcare innovation, and sustainable system design into a unified framework. This convergence enables intelligent data processing, secure cloud infrastructures, and efficient resource utilization across diverse sectors. In healthcare, AI enhances diagnostics, patient monitoring, and personalized treatment, while cloud platforms facilitate scalable data storage and real-time collaboration. Simultaneously, sustainability goals are supported through energy-efficient computing, optimized resource allocation, and predictive analytics for environmental management. However, the integration of these domains introduces critical challenges related to data security, privacy, and system resilience. This paper presents a comprehensive framework for AI-driven digital convergence, emphasizing secure cloud architectures, healthcare innovation, and sustainable system development. The proposed approach incorporates machine learning, edge computing, blockchain, and zero-trust security models to ensure robust and scalable solutions. Additionally, it highlights the importance of ethical AI, data governance, and regulatory compliance in building trustworthy systems. Through analytical evaluation and conceptual modeling, the study demonstrates how AI-powered convergence can drive innovation, improve operational efficiency, and support sustainable development while maintaining high standards of security and reliability in complex digital ecosystems.

Article Details

Issue

Vol. 9 No. 2 (2026): International Journal of Research Publications in Engineering, Technology and Management

Section

Articles

How to Cite

Artificial Intelligence Powered Digital Convergence for Cloud Security, Healthcare Innovation, and Sustainable Systems. (2026). International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 9(2), 605-613. https://doi.org/10.15662/IJRPETM.2026.0902016

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