303: Consumers Energy Leverages Machine Learning and Cloud Architecture to Build a Better Forestry Workplan
Date & Time
Wednesday, November 1, 2023, 2:00 PM - 2:45 PM
Mike Shi Chelsea Szpond

Reimagining vegetation management through data-driven decisions is a high priority for many utilities.

Consumers Energy is building a more effective and data-driven forestry workplan to better predict incidents and identify trees with satellite imagery. While capitalizing on advanced analytics methods such as reclassification and regression machine learning techniques, Consumers Energy is also developing a self-service analytics application to allow the business partners to easily make use of these complex tools. They discuss the what this transformative journey looks like, specifically regarding Agile methodology, cloud-based solutions, and foundational/sustainable data structures.

Session Takeaways: 

  • Learn what the start of a transformative journey for Consumers Energy looks like, specifically with regards to Agile Methodology, Cloud-based solutions, and foundational/sustainable data structures.
Focus Area
Analytics Architecture & Technology, Data Science, Grid Analytics