By Matt McCall
That’s a great question. Artificial intelligence (AI) is a growing topic on Wall Street right now, and I also consider it one of the top NexGen mega-trends for the next decade and beyond. In fact, research firm Tractica expects global revenue to increase from $1.4 billion in 2016 to $59.8 billion by 2025.
When most people think about this space their minds still automatically go to robots and science-fiction products. That’s only brushing the surface, though. You get to the really exciting stuff when you drill down even further, specifically into two niche subsectors called machine learning and deep learning.
The purpose of artificial intelligence is to use computers to complete tasks that would normally require human input, and machine learning gives the technology the ability to learn on its own – without having to be explicitly programmed. This continued learning means the machines become smarter with the more data they analyze. Traditional AI is limited to how much it can perform because it can only go as far as the original code, but with machine learning the computer is constantly adapting.
Deep learning is similar in that it is one of the techniques used to train machines as they become smarter. This technology uses an artificial neural network in which each neuron has a yes or no answer. Layering millions of these questions allows the computer to complete and predict very complicated matters with much more processing power than that of a human.
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