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Building of the future: from digital twins to AI agents for data-smart operation

35 minutes

Buildings generate vast quantities of operational data, yet most of it remains trapped in disconnected systems and beyond the reach of the people who manage them. This presentation explores how semantic digital building twins, which give operational data shared meaning and structure, are becoming the foundation for a new generation of AI agents capable of overseeing building operations. Moving beyond dashboards and conventional BMS workflows, we will show how agents reason over a building's semantic model to detect faults, verify performance against design intent, and support asset and portfolio decisions, with live demonstrations drawn from research at UCL and its commercial translation through Tacit Analytics. We will examine what it takes to create these semantic foundations at scale, the technologies that make agentic operation practical today, and what this shift means for how buildings will be managed, operated, and valued.

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John Hatcher

John Hatcher

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Claire Hatchett

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