Description
The AEC industry has invested heavily in BIM, cloud collaboration, fabrication technology, and connected project platforms. Yet many teams still face the same challenge: turning all that project data into clear, actionable insight.
This session explores how AI can close the gap, connecting existing project data to surface insights faster, identifying risks earlier, tracking progress more effectively, and supporting better decisions across design, fabrication, and field operations.
Beyond the technology, attendees will learn what it takes to put AI to work in real construction environments, including implementation, governance, and lessons learned. Participants will leave with a practical framework for improving project visibility, streamlining reporting, and getting more value from the data they already have.
Key Learnings
- Identify common barriers to data-driven decision-making
- Understand practical applications of AI within construction workflows
- Build a foundation for AI adoption by understanding the role of data governance, data quality, and system integration
- Apply real-world implementation strategies and lessons learned to help guide AI adoption