As buildings face increasing pressure to reduce energy consumption while maintaining occupant comfort, traditional HVAC control strategies are no longer sufficient. Many systems still rely on static schedules, fixed setpoints, and reactive maintenance, resulting in inefficiencies, energy waste, and suboptimal performance. 

This presentation explores how AI-powered intelligence is transforming HVAC optimisation from a reactive process into a dynamic, continuous, and data-driven capability. By leveraging real-time data from building systems, sensors, and operational conditions, AI enables HVAC systems to adapt automatically to changing environments, occupancy patterns, and external factors such as weather. 
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