Leading-edge utilities are using machine learning and artificial intelligence to dramatically reduce operations and maintenance (O&M) costs in vegetation management. Join industry veteran and E Source data science expert Tom Martin to explore how you can move from a cadence-based approach to vegetation management to a more data-driven, risk-based approach.
- How combining disparate data sources like LIDAR and satellite imagery with other unique data sources can create dynamic models that work with workflow management systems to prioritize tree-trimming in a way that reduces costs and improves reliability
- How data-driven vegetation-management programs are changing the game
Tom Martin, Managing Director, Data Science, E Source
Who should attend:
Utility professionals who want to learn how to reduce their utility’s O&M costs in vegetation management.
Interested in this event but can’t attend? Register anyway and we’ll notify you when the presentation and recording are ready for on-demand viewing. Questions about this event? Send us a message.