According to Moore, noise in data can give faulty alarms or alerts. And as you gather more data, "the chances of something going wrong goes up dramatically."
Beyond the Weather Company move, IBM is also working with Twitter in the development of its product set.
If IBM combines weather data with Twitter, there may be value to it, said Ryan Fogt, an assistant professor of meteorology at Ohio University.
Social media reports of storm damage are now used to assess the impact of weather events, but a lot of that analysis arrives after the fact. It may be hard to know, at first, what's what. For instance, social media sources might blame a tornado for knocking down an old barn, when a high wind was really to blame.
If IBM can couple social media reports about storms with the weather data in real-time, it could provide useful information, said Fogt.
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