In partnership with Sharper Shape, PG&E is applying advanced AI algorithms to LiDAR data to automate key asset management tasks. This case study highlights how PG&E is improving accuracy and operational efficiency through AI-powered classification techniques for pole loading, asset conflation, lean detection, and more.

By transitioning from manual field inspections to remote evaluations, PG&E is reducing costs, improving safety, and optimizing resource use. This session explores how automation is improving infrastructure reliability while enabling safer, smarter asset strategies at scale.