Building AI-Ready Digital Twins with Multi-modal Reality Capture. The future of utility infrastructure management starts with creating a complete, accurate, and AI-ready representation of the physical world.
Sponsored by Robotic Data, NV5
Sponsored by Robotic Data, NV5
Sponsored by Robotic Data, NV5
Utilities have more geospatial data than ever—aerial imagery, LiDAR, mobile mapping, and more. But that data often lives in disconnected silos. The challenge isn't collecting more data. It's bringing it together. Without a complete, accurate, AI-ready view of the physical world, utilities struggle to efficiently understand their infrastructure, identify risk, and make confident decisions.
The future of utility infrastructure management starts with creating a complete, accurate, and AI-ready representation of the physical world. Aerial imagery, LiDAR, and mobile mapping each provide valuable information—but the real value comes from combining them. The opportunity before us: transform fragmented data into one intelligent representation of the world utilities manage. What attendees will learn: • More data doesn't necessarily mean better decisions. • Data silos limit the value of reality capture. • Multi-modal data creates a more complete view of the physical world. • Intelligent digital twins depend on accurate reality capture. • The opportunity is to move from fragmented data to intelligent infrastructure management.
Public sector & operators
Owner-side leaders
Technical professionals
