Data-driven vegetation management boosts reliability and reduces costs for utilities

March 10, 2021, 2:00 to 3:00 p.m. ET

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.

You'll learn:
  • 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
Rachel Buckley, VP, Enterprise Strategy and New Products, E Source

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.
Who Should Attend? Utility professionals who want to learn how to reduce their utility’s O&M costs in vegetation management.

Access to and use of our website, materials, and tools is governed by the E Source License & Website Agreement.

© 1986-2021 E Source Companies LLC. All rights reserved.