How AI-driven Storm Predictions Improved Avista’s Customer Response Times and Satisfaction

Learn how leveraging satellites and AI has led to an impressive 80%+ accuracy in storm predictions, improving both incident response and customer alert times.

This webinar was originally held on March 26th, 2024, and is now available for on demand viewing.


Duration: 1 hour

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Long dealing with vegetation-related customer outages from dynamic northwest weather, western U.S. utility Avista needed a better way to predict storms, storm-related incidents, and their impacts. This informative session explores how Avista achieved greater than 80% accuracy in its predictions, improving both incident response and customer alert times using satellites and AI. 


Andrew Barrington 
Products and Services Manager 

Andrew joined Avista Corporation in 2022 as a Products and Services Manager with direct responsibilities in Unplanned Outages, Energy Management Tools and Billing & Payments. Prior to joining Avista Corp. Andrew accumulated 12 years of experience in diverse leadership positions, focusing on enhancing services, managing operations, driving innovation, and ensuring exceptional customer service. 
Andrew earned a bachelor’s degree in Workforce Education and Development from Southern Illinois University in 2014 and completed his Master of Business Administration (MBA) in 2017 from Whitworth University. 

Kyle Carson

Kyle joined AiDash as the Director of Presales in 2022, where he supports sales, delivery, and product development. Kyle came to AiDash with 3 years of management experience in sales engineering and over 12 years of utility industry experience as an engineer, supervisor, and project manager with Baltimore Gas and Electric (BGE). He also served as restoration strategist during severe storm restorations.

Kyle earned his Bachelor of Science degree in Mechanical Engineering from the University of Maryland College Park in 2008 and his Master of Business Administration from University of Maryland Global Campus in 2018. 

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