Description
Building information modeling (BIM) plays a pivotal role in design, construction, and operations, integrating multidisciplinary data to paint the full picture of the project for greater visibility and decision making. That picture starts to get blurry and unreliable when data isn't accurate or relevant. How do you cut through all that noise to deliver a usable and trustworthy model / data set? Every model goes through distinct phases: authoring, preparation, and actual use. The model can have many downstream uses, but for it to be of value, the model itself must be prepped and the rich data within organized. We have assembled innovative virtual design and construction (VDC) leaders at Gray, Metromont, and Accenture to share how they approach complex models to ensure quality and data-driven deliverables. They will share the processes they have in place to perform QC checks of the models for construction preparedness, and they'll discuss data curation from models and field data to prepare for AI workflows to inform future projects.
Key Learnings
- Learn how leading contractors handle outcome, performance, and quality of models and data models.
- Learn about quality challenges and model complexities conquered with reliable and proven workflows.
- Explore best practices for navigating technological and data-environment limitations to achieve high-standard deliverables.