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While IBM is getting sued by the city of Los Angeles, accusing it of covertly mining user data in the Weather Channel app in the US, it’s testing the waters for another hyperlocal weather feature that — coincidentally — relies on data that it picks up from sensors on app users’ smartphones, among other devices, combined with AI at IBM’s end to help model the information.
Today at CES, the company announced new service called the Global High-Resolution Atmospheric Forecasting System — GRAF for short — a new weather forecasting system that says it will provide the most accurate weather for anywhere in the world, running every hour, and in increments of every three kilometers everywhere by way of crunching around 10 terabytes of data every day.
Weather - Data
The new hyperlocal weather data will start to become available in 2019.
This is a key piece of news particularly for the developing world. There has been some effort already to create and use hyperlocal weather information in the US market using things like in-built sensors that can pick up information on, for example, barometric pressure — the very feature that is now the subject of a lawsuit — but there have been fewer efforts to bring that kind of service to a wider, global audience.
Farmer - Kenya - Kansas - Way - Weather
“If you’re a farmer in Kenya or Kansas, you will get a way better weather prediction,” said Ginny Rometty, the CEO of IBM, announcing the service today at CES.
She added that other potential end users of the data could include airlines to better predict when a plane might encounter turbulence or other patterns that could affect a flight; insurance companies managing recovery operations and claims around natural disasters; and utility companies monitoring for faults or preparing for severe weather strains on their systems.
Rometty - Weather - Channel - App
Rometty said that the Weather Channel app’s 100 million...
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