Autonomous Enterprise Networks: The Convergence of AI-Driven Infrastructure and Smart Building Technologies

Punugubati, Jithendra Babu (2025) Autonomous Enterprise Networks: The Convergence of AI-Driven Infrastructure and Smart Building Technologies. World Journal of Advanced Engineering Technology and Sciences, 15 (3). pp. 2305-2311. ISSN 2582-8266

The rapid evolution of enterprise networking infrastructure presents unprecedented opportunities for integration with smart building technologies. Recent advancements in intent-based networking have enabled autonomous configuration based on high-level business objectives, significantly reducing manual intervention while enhancing operational efficiency. AI-enhanced switches now serve as intelligent nodes capable of anomaly detection, traffic optimization, and self-healing during network disruptions. Concurrently, green Ethernet standards facilitate dynamic power management, addressing critical sustainability concerns in large-scale deployments. Digital twin modeling has emerged as a powerful simulation tool for network behavior within building automation systems, allowing for performance optimization without physical infrastructure modifications. The incorporation of wireless mesh networks with traditional enterprise switching creates seamless connectivity for IoT devices throughout smart buildings. Enhanced security protocols now dynamically adjust access policies based on contextual factors, safeguarding against both cyber and physical threats. These technological convergences collectively point toward fully autonomous, self-regulating network ecosystems that balance agility, security, and energy efficiency—fundamental components for next-generation smart building infrastructure.