When the COVID-19 pandemic took hold, we wanted to get a better feel for the public discourse surrounding this topic. This seemed like a prime opportunity to look at what people were saying on social[…]
Continue reading …
Leveraging AI+ Written/Spoken Word for Sales Enablement
My father, now in his 60s, has lived in the same small town his entire life, and even continued working at the same family business since he was twelve. Despite this evidence, he actually has[…]
Continue reading …
AI Translator: A Necessary Player on Your AI Team
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[…]
Continue reading …
Ethics and AI: Approaches for Addressing Underlying Bias in Data Sets
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[…]
Continue reading …
Demystifying AI: Tesla’s Self-Driving Car
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[…]
Continue reading …
How Does Spotify Know What Music I Might Like? Demystifying Recommender Systems Part II
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[…]
Continue reading …
“An AI Walks into a Bar” – Using Artificial Intelligence to Generate Humor
“If the mushroom was such a fungi, why didn’t they have the party at his house?” “Because there wasn’t much-room.” –Dad Joke Generator We all know a bad joke when we hear it. Sometimes one[…]
Continue reading …
From Prototype to Production – Coding Best Practices
We live in an era of unprecedented automation and rapidly expanding data. In 2019 alone, the internet generated 2.5 billion bytes of data every day, but only about .5% of that data was meaningfully analyzed! This data deluge, combined with the want to derive[…]
Continue reading …
How Social Science & the Humanities + Data Science = More Ethical AI
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[…]
Continue reading …
Netflix and Learn: Demystifying Recommender Systems
This article is Part 1 in a quarterly series that sets out to demystify artificial intelligence and machine learning techniques that are common in everyday life, and in the news. At Pandata, we firmly believe[…]
Continue reading …