From design and construction to operations and maintenance, building processes can be represented by millions of data points. A Digital Twin, the contextual model of an entire smart building ecosystem, serves as a repository of data from BIM, the BAS and sensor networks associated with the building’s infrastructure. It acts as a bridge between the physical and digital world, as the dynamic replica is fed real-time data from actual operations of the physical asset. AI and machine learning integrations help to contextualize and process that data to uncover operation optimization opportunities within the virtual environment that can be applied to the real building.