At midnight every day in Bologna, Italy, rows of supercomputers inside a former tobacco factory start churning through millions of measurements to predict how the Earth’s ref=”dofollow” data-ga-onclick=”Inarticle articleshow link click#Small Biz#href” href=”https://economictimes.indiatimes.com/topic/weather” target=”_blank”>weather will change.
Six hours later, energy traders all over Europe rise and refresh their browsers to get the most updated outlook. Those mainframe-generated forecasts are often the biggest factor helping them make money by knowing where and when to move energy around the power grid — but a new model that runs on artificial intelligence is threatening to make them…
