When it recently launched a new weather model called IBM GRAF, The Weather Company took a big supercomputing step forward.
When a series of winter storms recently lashed much of the United States, millions of people used The Weather Channel mobile app and weather.com website to help plan their travel.Sophisticated AI algorithms from The Weather Company turn troves of current and historic weather data into recommendations, for example, that can tell an electric utility company where to trim trees to prevent blackouts before the next storm hits. Or that can compute a two-week flu-risk forecast for a given locale.
But that’s just the beginning. Those predictions feed into the multi-model forecasting engine that The Weather Company, part of IBM, has been refining for more than two decades. Using complex machine learning algorithms, that engine combines the IBM GRAF results with those of about 100 other weather forecasts from around the world, including the American model—the Global Forecast System used by the National Weather Service—and the European model, ECMWF.
This is often accomplished through IBM’s Watson—a suite of AI tools and apps named for the company’s founder that famously beat two returning champions onin 2011—and in the IBM Cloud. The idea is to deliver specific insights to help people make better decisions, from whether to take along the umbrella for the day to whether to evacuate in advance of a storm.
The Weather Company is applying AI-powered predictive platforms to other industries as well, including agribusiness, insurance, aviation, retail and energy trading.
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