Machine Intelligence 2.0

Machine-Intelligence-2.0

A year ago today, Bloomberg Beta investor Shivon Zilis published her original attempt at mapping the machine intelligence ecosystem. So much has happened since — she spent the last 12 months geeking out on every company and nibble of information she could find, chatting with hundreds of academics, entrepreneurs, and investors about machine intelligence. This year, given the explosion of activity, her focus was on highlighting areas of innovation.

Zilis found that despite the noisy hype, which sometimes distracts, machine intelligence is already being used in several valuable ways. Machine intelligence already helps us get the important business information we need more quickly, monitors critical systems, feeds our population more efficiently, reduces the cost of health care, detects disease earlier, and so on.

The two biggest changes she noted since the analysis last year are (1) the emergence of autonomous systems in both the physical and virtual world and (2) startups shifting away from building broad technology platforms to focusing on solving specific business problems.

To read more about the current state of machine intelligence, click here.