Your Smart Building Is Generating Data. Why Isn't It Generating Intelligence?

Artificial intelligence, digital twins and advanced analytics are rapidly becoming central to smart building strategies. However, many organisations continue to struggle with fragmented information spread across Building Management Systems (BMS), IoT platforms, energy management systems, digital twins and enterprise applications. As a result, valuable data often remains isolated, limiting the effectiveness of analytics, automation and AI.

This presentation explores how semantic modelling and linked data technologies can provide the missing foundation needed to unlock the full potential of smart buildings. Rather than replacing existing systems, semantic technologies create a common information layer that enables data from multiple sources to be understood, connected and used consistently across an organisation.

Drawing on practical industry experience, the session demonstrates how semantic information models can connect building assets, sensors and operational systems to support digital twins, improve operational efficiency and create a scalable foundation for AI-enabled decision making. The presentation will examine common interoperability challenges, explain why data context is as important as data quality, and show how organisations can move beyond disconnected smart systems towards intelligent, integrated building ecosystems.

Attendees will gain practical insights into building an information architecture that supports future innovation while maximising the value of existing technology investments.