As promised in my previous post, here’s a complimentary talk to that one.
Giving this talk was particularly memorable because I was back in the Bay Area, back where I got my data science-in-business start, and back with so many of my first data colleagues. After learning so much from the data community in NorCal, it was a joy to bring them something in return.
To be honest, I was a bit worried that the audience would find this very practical, very look-behind-the-curtain talk too irreverent to the myth of the all-magical, all-fixing data science. But I was delighted to find the talk very well received. In the midst of the data science hype, a bit of bubble bursting and some guidelines for practical oversight seemed to be just what was needed.
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Published by Kerstin Frailey
A data leader with practical side and a touch of humor. I stumbled into data science back before HBR convinced everyone they wanted one or wanted to be one. I've done years as an IC and as a leader, in the Bay Area and beyond. And despite that, I still have faith that data can revolutionize your company--if you let it.
Masters in Mathematical Statistics (UIC), Masters in Mathematical Computer Science (UIC), and the Masters in Statistics that I got along the way to get a PhD (Cornell) (but I left the PhD All-But-Dissertation to take a position as Director of Data Science). Yale BA, University of Chicago Data Science for Social Good Fellow, Second City Conservatory Graduate, and one of my two dogs has graduated puppy 101.
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