
How AI Is Helping Construction Teams Turn Data Into Better Decisions
What if AI could connect BIM models, schedules, jobsite photos, sensor data, RFIs, and other project information to create a real-time understanding of what's happening on a construction site?
On this episode of Digital Builder, host Eric Thomas is joined by Chris Bayes, Director of Construction Technology at Hawaiian Dredging Construction Company, and Fikret Kalay, Director at Autodesk Research, to discuss a collaborative research initiative exploring exactly that. Together, they're investigating how connected project data and AI-driven insights could help teams identify risks earlier, understand the root causes behind issues, and make better decisions throughout the construction lifecycle.
In this episode, we discuss:
- Why construction teams struggle to turn massive amounts of project data into actionable insights
- The importance of connecting data, workflows, and context across the construction lifecycle
- How Autodesk Research and Hawaiian Dredging are exploring AI to create a more complete picture of what's happening on the jobsite
- How AI can help teams understand not just what happened, but why it happened
- The opportunity to preserve institutional knowledge and shift from experience-based to data-based decision-making
- What AI-powered risk management, jobsite simulation, and decision support could look like in the years ahead
Tune in to learn how this research could help construction teams move beyond collecting data and start turning it into understanding.
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