Name
501: Metrics & Adoption of AI/ML Outage Prediction Technology
Date & Time
Thursday, May 12, 2022, 9:15 AM - 10:00 AM
Luis Selvera
Description

CPS Energy has spent over 2-years focusing on the need and understanding of its predictive outage management capabilities. It has coalesced a product team representing diverse IT and business stakeholders, considered market offerings, developed proofs of concept and developed a solution that streamlined data workflows, prepared data, and established and tested AI/ML models for prediction of power outages in San Antonio, Texas (the 7th largest city in the country). Since deployment of its latest product release, the team has been focused on online AI/ML performance monitoring and enhanced efforts to drive adoption and communication of outage impacts. This presentation will cover CPS Energy’s journey and share what constitute the following steps in the product hypercare stage, including an emphasis on people first.

Session Takeaways:

  • See the important role CPS Energy’s people play in analytics product lifecycle.
  • Learn from CPS Energy’s mistakes in developing and creating an outage prediction solution.
  • Learn from CPS Energy’s definition of success metrics for Outage Prediction.
Session Location
Churchill B1
Session Type
Breakout Session
Evaluation