Artificial Intelligence Projects Face Huge Barriers to Success

Earlier this year, Arvind Krishna, IBM's senior vice president of cloud and cognitive software, suggested that such initiatives tend to fail once companies realize the expense and labor involved in collecting and structuring data for analysis. "And so you run out of patience along the way, because you spend your first year just collecting and cleansing the data," he told the audience at The Wall Street Journal's Future of Everything Festival, according to the newspaper. "And you say: 'Hey, wait a moment, where's the A.I.? I'm not getting the benefit.' And you kind of bail on it," he reportedly added. All the hype around A.I. and machine learning might have deluded a number of companies into believing that such initiatives will quickly yield powerful results.