Loyalty, talent, ambition: Why Chris Gladwin is doubling down on Chicago

Excerpt

<div>“At that scale, <b>data</b> sets become incomprehensibly <b>large</b>,” said Gladwin. “You just can't sit a human in front of that and expect them to do anything useful. We used to rely on sticking humans into the [<b>data analytics</b>] process to figure out what's going on, but we're transcending that.” Some industries that ...</div>