A Marketer’s Journey Through the World of AI Entry 1. February 18, 2021 By now, we have all heard that AI is revolutionizing marketing and sales. Whether automating traditionally manual processes, using marketing analytics to predict future behavior, or even
Human-Centered AI: Why it Matters We talk a lot about human-centered Artificial Intelligence (AI), but what does that mean in application? It can mean different things depending on the purpose of the solution being created. Human-centered AI can mean creating
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
When many people think of AI, robot butlers and self-driving cars come to mind. These technologies are “stand alone” solutions that do not require much human interaction but do require a huge up-front cost. However, there is another branch of
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
AI is one of the most widely talked about yet poorly understood terms in organizations. While over 50% of organizations considered AI a priority in 2019, 77% of organizations are failing to successfully adopt AI-enabled solutions. Having a poor definition