Better Data Science for your Business

On October first, Artificial Intelligence investors Nathan Benaich and Ian Hogarth released their State of A.I. report for 2020. It’s a massive collection (177 slides) packed with information about A.I., from defining what A.I. actually is, to uncovering what Google…

This week I watched the highly charged Netflix documentary The Social Dilemma, which explores the consequences of our growing dependence on social media. Here are a few quotes I typed as I watched: "We created a system that biases towards…

The number of Covid cases is up across Europe, while the US shows a downward trend. This might have been expected, given that social gatherings have been up in many areas of Europe. Croatia, for example, allowed tourists from around…

Building predictive models is tough. Not to do, but rather to do it right. Data science is a very complex subject, generally requiring years of education and practical experience to have a proper foundation. I’m pretty sure this isn’t new…

Job requisitions for the "sexiest job of the century” have fallen dramatically. In this week’s Tech Tuesday, I’ll look at why and what it means for companies either currently involved with data science initiatives or looking to jump in soon.…

As discussed in one of our previous Tech Tuesdays on Deployment, a successful data science project generally comprises twelve essential steps. And these twelve steps can be roughly divided into three stages. Here’s the one diagram I come back to…

Are you addicted to Spotify’s Discover Weekly? I certainly am. It often does a fantastic job of nailing my musical preferences and recommends me lots of music I really like and songs I don’t think I would have easily found…

This week, I'll describe how ranking products can be problematic and show you a very quick and easy fix that many companies are unaware of. I’ll start with a common scenario that surprisingly few companies get right. And the worst…

Fake news is difficult to spot and for good reason - our abilities to fact check meet a dead-end when generated content is indistinguishable from fake content. This isn’t the future. It’s already here. Data scientists (and increasingly, anybody) can…