Building Information Modeling (BIM) is not new, but tomorrow’s BIM is not yesterday’s. In the past, individual firms tended to use BIM in isolation. Today, BIM is becoming the foundational methodology for providing digital twins that give all project stakeholders — architects, mechanical engineers, contractors, sub-contractors, and owner-operators across sectors — a shared experiential view of the project and their built environments. We think of BIM not as a technology but as a method — a way of working. Without the correct data, BIM capabilities create intricate but static three-dimensional toys. By thinking of BIM as a journey that leads toward living digital twin models, organizations will be better prepared to integrate AI in a way that optimizes project outcomes, predicts potential issues, and improves stakeholder collaboration. While many see BIM as a simple digital representation, it’s actually about enabling intelligent decision-making across the project lifecycle. One of the most critical elements of this collaborative “BIM roadmap” is data-language mapping — standardizing terminology and data fields so that they are seamlessly transportable across different technology platforms through the design, build, and operation phases and are helpful for all project and infrastructure owner stakeholders.
As transformational as BIM and digital twins are for the design and construction phase, they are even more critical during operations. Historically, data from the design and build phases often failed to carry over into operations, leaving building operators with little understanding of how the infrastructure was designed or constructed. Today, we have the maturity to develop well-defined BIM Execution Plans (BEP) and automate them through technology tools to ensure that operational teams have access to data that will help them manage assets efficiently over the next 20-30 years, right from the inception of the project (design stage).