Bill Schmarzo

The opportunity to watch and coach the University of San Francisco (USF) students during our annual Hackathon with our friends at Good Dataprobably taught me… Read More »USF Hackathon: Making a Business Hypothesis Actionable with Prescriptive Outcomes

In the blog “Data Science ‘Paint by the Numbers’ with the Hypothesis Development…,” I introduced the Hypothesis Development Canvas as a tool for linking an… Read More »Hypothesis Development Canvas Version 0.4

AI has snuck into our daily lives and there is nothing to stop it. Not only does AI power autonomous vehicles, but AI already decides… Read More »AI and the Future of Millennials

Oh,the lowly data engineer.  Harvard Business Review declared the role of the data scientist as “the sexiest job in the 21stcentury.” But the data engineer labors… Read More »Data Engineers: Nobody Puts Baby in a Corner!

There are so many confusing and sometimes even counter-intuitive concepts in statistics.  I mean, come on…even explaining the differences between Null Hypothesis and Alternative Hypothesis… Read More »Using Confusion Matrices to Quantify the Cost of Being Wrong

I recently talked to Clint Boulton, author of “Why digital transformations are lagging” about why Digital Transformation is so hard. His article raises lots of… Read More »Why Digital Transformation Is So Dang Hard?

“Tomorrow’s market winners will win with the smartest products.  It’s not enough to just build insanely great products; winners must have the smartest products!” –… Read More »3 Stages of Creating Smart

Many of my MBA students are perplexed about how much data science capabilities and skills they need in order to get hired.  It appears that… Read More »How Millennials Should View the World of Data Science

Forrester published a report titled “The Sorry State of Digital Transformation in 2018” (love the brashness of the title) that found that 21% of 1,559… Read More »It's Not Digital Transformation; It’s “Intelligence Transformation” We Seek