Show Notes
AI is only as good as the data behind it. As construction teams generate more information than ever before, the challenge is no longer collecting data. It's making sure that data is accurate, trustworthy, and useful. On this episode of Digital Builder, host Eric Thomas sits down with Eddy Krygiel, Senior Manager of AEC Data Model Strategy at Autodesk, to explore why data quality has become one of the most important foundations for successful AI adoption. From the rapid growth of project information to the risks of poor data and the role AI can play in improving it, Eddy shares practical insights on how organizations can turn project information into a long-term business asset. They also discuss why successful AI strategies start with clear outcomes, how owners can identify the data that actually matters, and why perfection shouldn't stand in the way of progress. In this episode, you'll learn: Why more project data doesn't automatically create more value How poor-quality data impacts AI outputs and business decisions Practical ways teams can improve data quality without trying to fix everything at once What separates successful AI initiatives from approaches that introduce new risks How organizations can build a scalable data strategy focused on long-term value Why humans remain essential for providing context, even as AI becomes more capable
Listen now to hear how construction teams can build trust in their data, unlock more value from AI, and create a stronger foundation for the future of digital project delivery. Digital Builder is hosted by Eric Thomas from Autodesk.
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