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A little light housekeeping – If you are new to the journal series (or want a refresh), you can catch up on the first entry here. I was recently asked to put together a quick video for the Women in
We’ve talked quite a bit on this blog about recommender systems; so much, in fact, that it’s beginning to border dangerously on an obsession. And who can blame us? Recommenders are fascinating creatures, being some of the simplest AI systems
At Pandata, we hang our hat on educating clients and our community about AI in an approachable and jargon-free manner. This isn’t something that just happened overnight though. It takes a concerted effort to work with our solutions team on
Artificial Intelligence (AI) is often portrayed as a magical black box where data goes in and something like a self-driving car comes out. Unfortunately, the magical black box is subject to any constraints on data going in. For example, poor
Late last year, when my trusty Altima of over 15 years started needing coolant refills more often than gas refills, I knew it was finally time to start looking for a new car. While many mid-range automobiles now come standard
In an earlier blog, we discussed some of the basic concepts behind recommender systems and what they do. This time let’s delve a little deeper into how recommender systems work. First we need to start with the ingredients to our
As practitioners and consumers of data science, how do we make ethical decisions when confronted with thorny dilemmas in artificial intelligence (AI)? How do we even recognize when those dilemmas emerge before they become public relations catastrophes? Humanities and social
What happens when a classically trained painter and an A.I. muse come together to create a work of art? Chris Peters, a Los Angeles-based artist, filmmaker, and former software engineer, began to find out with his latest project, “Tensor Dream.”
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