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.
- 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
, Managing Director, Data Science, E Source
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Who Should Attend? Utility professionals who want to learn how to reduce their utility’s O&M costs in vegetation management.