Know what I usually think about around the holidays? Models that suddenly don’t work at all. I should explain. A lot of what we do day in and day out revolves around repeatable patterns of user or customer behavior. If…
zankDecember 24, 2019
Want to know what holds projects back? Access to good, clean and reliable data. Sure, it makes sense - we’ve got to get that new product or feature out, and like yesterday. But this isn’t endlessly sciencing away in the…
zankDecember 10, 2019
Do you ever think about how you might be uniquely identified in a huge database of other people/customers? For example, in the United States, we have social security numbers. Each person gets a uniquely identifiable number. Personal email addresses are…
zankDecember 3, 2019
A.I. has come a long way in supporting fashion, a trillion-dollar industry that is still on the rise. In this Tech Tuesday, I’ll discuss some of the big advances we’ve seen and developed for our clients especially where computer vision…
zankNovember 26, 2019
Data science enhances product. It’s part of product. But far too often I see data science teams reporting to the CTO or a technical leader and I think that’s wrong, and part of the reason data science isn’t always as…
zankNovember 19, 2019
Over the months I’ve written Tech Tuesdays I’ve received a lot of positive feedback and praise. Thank you all for your thoughtful feedback and comments! This week, I’m reflecting back on some readers’ comments. If you want to reach me…
zankNovember 12, 2019
by: Zank, CEO of Bennett Data Science Mentorship is probably the single most important source of outside help I’ve ever received. I spent 10 years at a big consulting company and I worked for a wonderful man, Duane. He was…
zankNovember 5, 2019
Like other roles, data scientists need to have a few fundamental needs: Such as: ownership of, and credit for their work, ongoing education, and access to mentorship. Here are a few ways to achieve these goals: Make it easy to…
zankOctober 29, 2019
A/B testing is such an important step in product development because it’s directly tied to revenue. Data-driven companies know this. They run thousands of tests concurrently and even have teams that develop in-house systems for monitoring all these tests. It’s…
zankOctober 15, 2019