Eric Siegel is the Founder of two global Predictive Analytics conference series, the Executive Editor and Founder of Predictive Analytics Times, and has nearly 20 years of experience leading data mining and research teams across multiple industries. He is a speaker at many of the top analytics conferences worldwide and oversees the global conference series Predictive Analytics World designed for analytics professionals, managers and C-level executives... but there is more. When he was a Professor at Columbia University, he would sing Computer Science songs to his data mining graduate students. Yes, we ask him about that.
Eric recently took a few minutes to talk to icrunchdata about his work with PAW, his book on Predictive Analytics and a little bit about his interests outside of the data.
Eric, thanks for talking to us today and here we go.
Great question. We certainly are considering other regions such as the Middle East and Asia. There is no time line in play so I can’t even speculate on when those would be launched.
Yes, there will likely be about one new industry-focused PAW event added each year, as there has been the last few years.
The book has been adopted as a textbook at 35 universities, and I’ve been commissioned to keynote at the same number of industry-focused conferences. This reception has been wider than I expected in just the first two years since publication. The field has become much better known and yet is still in the early stages of growth relative to its potential.
We will be releasing the Revised and Updated version of the book in January 2016. It’s got new content on the NSA’s data, and new case studies. The book covers the fundamentals of the field in a fully accessible way to any reader, so we want to ensure it stays wholly relevant in coming years.
The core working concepts will hold the same and everyone will continue to expand their software tool repertoire, but the biggest change will be how tools integrate with and access data sources. That will see some great changes, especially as more practitioners end up moving to cloud-based solutions.
I sang a rock ballad about the angst of debugging your computer program, a rap about pointers, a rhapsody about knowledge representation and another rap about machine learning, etc. A musical number about breaking a problem into sub-problems. I heard about a math teacher doing such a thing and so I had to try it myself. College and grad school audiences are captive (lucky me) and yet welcome anything different from another normal lecture (lucky them). You can find them including recordings online by googling my name and “computer science songs”…
I’d direct children’s theater and write kid’s books. Also, I would be a professional wrestler (just kidding).
Friends and weather, which are the reasons I moved here!
Rio de Janeiro, where I lived for three years. And Bali. I guess I’d have to clone myself.
That’s it, Eric, I think we’ve covered it. Thanks for taking a few minutes to talk to us today and keep singing!