Tech Tuesdays

With big institutions like Harvard and MIT holding online classes, an interesting question to be raised is what will become of our future data scientists who learn from home, physically distant from fellow students? If learning data science online is…

A lot has changed since I first started monitoring the Coronavirus pandemic on our website.  Countries like Italy and Spain that initially had big spikes in deaths eventually drove those numbers down and now show no or very few deaths…

Over the years, we’ve worked on many different types of A.I. projects, from building complex analytics engines from scratch to optimizing established systems.  This week I want to talk about startups and how they can achieve quick wins.  I’m not…

I was at a conference several years ago, sitting in the audience listening to a panel of data scientists from Netflix,  Amazon, and Spotify talk about the gains they generally see from their data science initiatives. It was a popular…

This week I changed things up a bit! I decided to record a video in my treehouse where I've been having quite a few meetings recently. It’s been really enjoyable to work from there given the summertime and it's been…

We’re finally here: Part five of my series on Deploying Predictive Models. Here’s what I’ve covered so far: How deployment fits into a proven 10-step data science methodology Why deployment is an important part of any organization’s data science roadmap…

Welcome to article four of our five-part series on Deploying Predictive Models. So far, I’ve introduced our proven 10-step data science methodology and shown how deployment is an important part of any organization’s data science roadmap. In part three, Demystifying…

In our last two articles “Get Real Business Value from Data” (1) and “Don’t get These Essentials Wrong” (2), I discussed our proven data science process, introduced deployment as the last of three high-level stages, and defined deployment. In today’s…

Last week, I talked about generating real business value from data science projects and shared our proven 10-step data science process. In its simplest form, three main steps are involved: Preparing the data Doing the machine learning Deploying the model…

You might feel like building an analytic model is the goal of data science. And you wouldn’t be alone. Companies commonly complain that around 70% of analytics projects fail, and the biggest reason is not because of poor predictions. It’s…