Is Artificial Intelligence M&A Slow Growth In April A Sign Of Things To Come?

If you watch the just ended Google I/O Keynote, one that you will come out with is that everything the Big G is doing, is geared towards machine learning in all aspects.

The same can be said of most A.I orientated companies around the world and you can see that with the recent slew of mergers and acquisitions that have been taking place for the past 8 months.

From Apple Lattice Data , Cisco (MindMeld) , Spotify (niland.io) and many others, everyone seems to want a piece of this action.

While April may not have had any record-shattering M&A, MediaPost writer Mike Azzara says that there are huge ones coming along soon.

It might be time for you to get into the game.

Artificial intelligence (AI) is described as intelligence exhibited by machines. It is a term that it is usually applied when a machine mimics “cognitive” functions that humans associate with other human minds, such as “learning” and “problem solving”.

However, as machines become increasingly capable, mental facilities once thought to require intelligence are removed from the definition. For instance, optical character recognition is no longer perceived as an example of “artificial intelligence”, having become a routine technology. Capabilities currently classified as AI include successfully understanding human speech, competing at a high level in strategic game systems (such as chess and AlphaGo, self-driving cars, intelligent routing in content delivery networks, military simulations, and interpreting complex data.

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Source: Artificial Intelligence M&A Slows In April

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