[WEBINAR] Defending Against the Storm: Embracing Advanced Analytics and Machine Learning for Utility Outage Prediction

Date: September 12, 2017
Time: 2:00 PM EDT
Price: FREE

Webinar Playback

The ability to access timely information prior to a storm about the incoming weather is available today. What is not always available in a meaningful, easy-to-use manner is the connection between weather and its impact on the utility system. That connection is critical to determining the level of impact a utility can expect so they can decide what actions they need to take in advance. This creates a key question for energy providers: How can predictive tools like an outage prediction model create operational and financial benefits for their organizations?

Zpryme recently surveyed more than 150 utilities to understand comfort levels, struggles, and use of outage prediction tools and weather information.

Join us on this webinar as we discuss the results of the survey and hear from thought leaders and utilities about how they are embracing advanced analytics.

Webinar Thought Leaders


Mary Glackin

Head of Government Affairs & Weather Forecasting, Watson Content & IoT Platform
The Weather Company


Hagen Haentsch

Director Distribution Operations Center


Erin Hardick

Research Analyst