Utilities have traditionally beenmore reactive than proactive when it comes to natural disasters and storm restoration. The use of weather data by utilities over the years has been mostly rudimentary as a guide to gauge potential short-term weather threats. As weathertechnologies, data, and tools evolve, utilities will be better positioned to build greater resiliency in their operations and field services by taking advantage of emerging technologies such as artificial intelligence and machine learning in combination with modern modeling techniques and rigorous predictive analytics.

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