Artificial intelligence (AI) and machine learning are rapidly transforming how building systems are managed, optimised, and secured. Within ELV networks, AI is no longer a distant concept — it’s being applied to real-time data from surveillance, lighting, energy, and environmental controls to enhance operational efficiency and responsiveness. The integration of intelligent analytics into these systems opens new opportunities for smarter, adaptive infrastructure.

Machine learning algorithms can analyse patterns in CCTV footage, enabling predictive security alerts or automated anomaly detection. In lighting and HVAC systems, AI-driven control logic can anticipate usage patterns and adjust settings to reduce energy consumption. Even AV and access control systems are benefiting from AI models that fine-tune performance based on user behaviours or environmental inputs.

As AI becomes more embedded in building operations, ELV infrastructure will need to support data-rich, flexible, and scalable deployments. This means greater emphasis on edge processing, real-time data integration, and secure connectivity between systems. While still emerging in some sectors, AI is clearly shaping the next generation of smart buildings — where infrastructure is not just connected, but constantly learning and improving.