Asset ManagementFrom Reality Capture to Intelligent Asset Management
Utility operators are under increasing pressure to maintain aging assets while improving reliability, safety, and cost efficiency. Multi-modal datasets provide the foundation for AI-assisted asset inventories, condition assessments, vegetation encroachment detection, and predictive maintenance.
Key Takeaways
- Reality capture is the foundation of intelligent asset management.
- Multi-modal data can create AI-ready asset inventories that help utilities identify, classify, and track assets more efficiently and accurately.
- AI-assisted condition assessment can improve asset visibility by helping utilities identify deterioration, defects, and potential risks earlier.
- Predictive maintenance can shift asset management from reactive to proactive.
- Intelligent asset management can improve reliability and safety.
- Integrated datasets can help utilities do more with existing resources, supporting more efficient inspections, maintenance planning, and field operations.
- The path from reality capture to intelligent asset management is about turning data into decisions.
Why Attend?
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.
Who Should Attend
Infrastructure Owners
Public sector & operators
- Electric, water, gas & wastewater utilities
- Municipal utilities and co-ops
- County and municipal governments
- Public works and utility departments
- Vegetation management contractors
- Utility engineering consultancies
- Pipeline and midstream operators
- Critical infrastructure operators
Typical Attendees
Owner-side leaders
- Utility Executives
- Asset Managers
- Digital Twin Managers
- GIS Directors
- Survey Managers
- Utility Engineers
- Vegetation Managers
- Distribution & Transmission Managers
- Capital Program Managers
- Asset Management Directors
- Innovation & Digital Transformation Leaders
Geospatial & Reality Capture
Technical professionals
- GIS Managers
- GIS Analysts
- Mapping Specialists
- Reality Capture Specialists
- Mobile Mapping Managers
- LiDAR Engineers
- Photogrammetry Specialists
- Remote Sensing Professionals
- Geospatial Data Managers
- Survey Engineers
- Geomatics Professionals
- Point Cloud Specialists
Presenters
Brian Soliday
Chief Revenue Officer
Robotic Data
Brian Soliday is a sales/marketing leader, with over 40 years of professional experience in the global geospatial marketplace. He has held senior positions with some of the largest geospatial technology organizations, including Autodesk, Trimble, Space Imaging and others. He graduated with a Bachelors and Masters degrees in Geography (GIS/Remote Sensing) from the University of Nebraska-Omaha.
Josh Chapple
Account Manager
NV5
Joshua Chapple is an Account Manager at NV5, where he helps manage key geospatial accounts' projects from the idea stage through the proposal and contracting, acquisition and analytics, and implementation and integration stages. Josh frequently leads educational sessions about lidar and imagery technologies and capabilities that exist within the geospatial industry, with a focus on 3D imagery products to create digital twins. He has direct experience creating large-scale digital twins that use lidar and imagery data for reality capture visualization and feature extraction. Prior to its 2022 acquisition by NV5, Josh was with GEO1, where he acquired high resolution airborne LiDAR data and imagery using Riegl Lidar and Phase One 150 megapixel sensors. Josh holds a Bachelor’s degree in Finance from the University of San Diego.
