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Cleveland, OH /

Cleveland Big Data Meetup - AI & Weather Forecasting

Progressive 6671 Beta Dr Mayfield Village, Ohio 44143-2320 , Mayfield Village, OH 44143 (map)

Studio 96 - the entrance is in the back of 6671 Beta Dr Mayfield Village, Ohio

* Please note the later start time! *

6:15-6:30 pm: Pizza & meet-n-greet.

6:30 pm - General announcements, recruiting shout outs

Talk: Uses of AI for Weather Forecasting and Insights

Abstract: Weather forecasting has been aided by machines since the first computers were built but harnessing artificial intelligence and machine learning has dramatically improved the speed and accuracy of our forecasts and enhanced their value for decision making. Since the 1950s, Numerical Weather Prediction (NWP) has used physical models to predict how the weather will evolve from an initial state. AI processing and calibration of observations is now allowing new sources of data, including from the Internet of Things, to help provide a more accurate starting state, and thus a better forecast. Hundreds of NWP model runs, sensor measurements and weather products from centers around the world supply an enormous volume and velocity of multi-dimensional data that no human forecaster can keep up with. Online ML methods satisfy this need by powering on-demand data fusion to extract relevant information and create accurate consensus and probabilistic predictions on forecasting timescales from minutes to months. Still, a weather forecast has value only when it informs a better decision. ML can mine historical data to derive models that map weather to impacts, allowing insights and improved decisions to be derived from weather forecasts. This talk will describe how The Weather Company uses AI/ML to create weather data at scale and translate them to valuable insights for our customers and fans of our Weather Channel app.

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About the speaker:

Dr. Williams earned his Ph.D. in Mathematics from the University of Colorado with a dissertation on machine learning algorithms for optimal decision making under uncertainty. He worked as a Project Scientist at the National Center for Atmospheric Research’s Research Applications Laboratory until 2015, when he joined The Weather Company as Senior Scientist – Machine Learning. A former Chair of the American Meteorological Society’s Artificial Intelligence Applications Committee, Dr. Williams is currently Senior Manager, Forecasting Sciences at The Weather Company, an IBM Business, leading a team that is responsible for researching and developing state-of-the-science forecasting technologies and products to better serve our clients and fans.

Parking-jitsu: Remember that the parking and entrance is in the BACK of the building.

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