Outthink Severe Weather by Exploring AI-Infused Outage Management Solutions

Presented by: Rob D’Arienzo, Senior Meteorologist, Global Strategy Leader, IBM

More extreme and frequent weather events, aging infrastructure, and poor vegetation applications have caused a sharp increase in utility power outages over the last few decades. This webinar talks about advanced analytics and how machine learning techniques can create a number of powerful outage management solutions including vegetation management, outage prediction, and resource optimization. When effectively developed and deployed, these solutions can significantly improve grid reliability, storm response efforts, and customer satisfaction for utilities.

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INTENDED AUDIENCE:  CIO, COO, Director of Emergency Preparedness/Response, Storm Director, Field Operations Director, Business Analyst



Rob D’ArienzoMr. D’Arienzo is currently a Senior Meteorologist and Global Strategy Leader for IBM. At IBM, Mr. D’Arienzo leads the global Go-To-Market (GTM) strategy for the Energy, Environment & Utilities industry within The Weather Company integration team. Mr. D’Arienzo’s expertise includes operational weather forecasting, weather and climate modeling, outage and impact prediction, data analytics, and strategy consulting. Prior to IBM, Mr. D’Arienzo served as the lead Meteorologist for Vermont Electric Power Company (VELCO) in Vermont and as an Assistant Meteorologist for ConEdison in New York City. Mr. D’Arienzo holds a B.S. in Meteorology from Rutgers University and a M.S. in Business Analytics from Quinnipiac University. Mr. D’Arienzo’s professional affiliations include the American Meteorological Society (AMS) and the National Weather Association (NWA).


For any questions, please contact Phyllis Caputo at p.caputo@ieee.org.

To view previous webinars on-demand, visit the IEEE Smart Grid Resource Center


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