The perfect storm called artificial intelligence and geospatial big data

On April 20, 2010, when BP's deep-water drilling rig Deepwater Horizon exploded in the Gulf of Mexico, the oil giant claimed that the spill was just 1,000 barrels per day. A small non-profit in West Virginia, SkyTruth, studied the satellite observations of the oil slick, cataloged its computations, and concluded that the spill was at least 20 times bigger than what was being claimed. The report was quickly picked up by the media, and lead the US government to straightaway increase the estimate to 5,000 barrels of oil per day. The same year, UBS Investment Research had two teams quietly working on Wal-Mart's quarterly earnings preview – one using time-honored traditional methods, the other studying the satellite pictures of the American retail brand's parking lots to gauge the customer footfall. Each came up with a different revenue forecast.