In this interview, Martin talks with Anita about artificial intelligence, machine-based learning and predictive modeling tools.

Curated by Martin R Ricketts

ANITA: Let's move on to talking about the artificial intelligence, machine-based learning, predictive modeling tools. First of all, for people like me, can we just define those terms? What is artificial intelligence, machine learning, predictive modeling tools?

MARTIN: Yeah. Well, artificial intelligence is the broader overall category that we're talking about, and artificial intelligence is machine-based, cognitive abilities that, that automate and like humans, think like humans.

Now, we don't have general intelligence that can do anything, but we have very specific tools that can do very specific thing such as Siri, Alexa and the Google Assistant.

Those are great examples of it. Machine learning is a subset of artificial intelligence, and it's specifically where they teach machines to understand what they're seeing, right?

Computers could not until now see, but now they can in their way in that, if you search on Google photos for cat pictures in your, in your in your database, then Google photos knows what cat pictures looks like because Google has trained it by showing it 10 million pictures of cats.

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