Last UpdatedDecember 28, 20176:00 AM EST Somen Mondal had two problems while running the company he launched 10 years ago, only one of which was a good one for an entrepreneur to have. The good problem was that his safety compliance management software business was growing and he needed to hire a couple of new salespeople a week, which attracted hundreds of applications.

That need also created a related and less exciting problem: Someone had to actually read those applications and decide who to call back. “When we were making decisions about who to bring in for an interview, it was really based on gut feel,” Mondal said.

“We’re very data-driven as business founders. We thought, ‘There’s got to be a better way.’” Today, there is a better way, one that is powered by artificial intelligence.

After selling that business, Mondal founded Ideal, a Toronto-based software company that uses AI to identify promising candidates from stacks of résumés, thereby leaving hiring managers with more time to meet prospective employees in person. AI systems are now much better than humans at identifying patterns in large amounts of data and that has white-collar workers worrying about their jobs just like assembly line workers have since the 1970s.

They’re likely worrying for naught — at least, for now. The machines’ inability to use common sense or generalize means they can’t do much beyond the scope of one narrow task. Read more from…

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