The Current State of Machine Intelligence 2.0

Since the end of last year at BootstrapLabs we decided to focus on startups that are working on Applied Artificial Intelligence.

The explosion of massive data set + the growing accessibility and scalability of computing infrastructures are transforming the tech industry forever.

Great minds around the world are starting to use computing intelligence to solve specific problems and this will transform the way we do business.

I decided to share this article because I truly believe that this could be interesting for my network, as it explains in a very clear and simple way why Applied Artificial Intelligence is one of the most exciting trends in the tech industry.

As I will research more into this topic, I would like to invite everyone who is interested to get in touch with me.

applied artificial intelligence

Re-published from

(This article was originally posted at

A year ago, I published my original attempt at mapping the machine intelligence ecosystem. So much has happened since. I spent the last 12 months geeking out on every company and nibble of information I can find, chatting with hundreds of academics, entrepreneurs, and investors about machine intelligence. This year, given the explosion of activity, my focus is on highlighting areas of innovation, rather than on trying to be comprehensive. Figure 1 showcases the new landscape of machine intelligence as we enter 2016:

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 I’ve noted since I did this 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.

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