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The Rise Of AI Will Force Data Scientists To Evolve Or Get Left Behind

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Eddie Waldo
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The history of Artificial Intelligence is long, but it s only been recently that technology companies and markets have begun to get excited about it… Why?

After a few decades of exploration of symbolic AI methods, the field shifted toward statistical approaches, that have as of late started working in a broad array of tasks due to the explosion of data and computing power, this in turn has led to machine learning and, most importantly, enabled deep learning.

This is great news for the tech industry.

First proposed as a concept by Alan Turing early in the decade, it was solidified as a field of study at the 1956 Dartmouth Conference, which used AI as a heading to encompass language simulation, neural networks modeled on human brains and expert systems.

Though merely a concept then, AI was made possible by machine learning which used algorithms to examine data in order to make a decision or prediction.

Deep learning takes this idea but adds a huge neural network with millions of data points to allow a system to make an informed judgment.

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Eddie Waldo
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