Fortune November 24, 2020
We’ve written before about the struggle companies are having realizing financial gains from artificial intelligence. Too often A.I. projects disappoint. Maybe part of the problem is one of expectations—many A.I. projects are too ambitious. Sometimes it is the simplest, most mundane uses of machine learning, that can have the biggest impacts.
Recently, I spoke to Michael Veselinovski, a senior account supervisor at the advertising firm Campbell Ewald, in Detroit. He says he used to spend a large portion of his time analyzing data from digital ad campaigns to figure out what was working and what wasn’t, as well as trying to gather statistics that could prove that campaigns Campbell Ewald had designed for its clients were actually delivering a return...
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