|September 30, 2009|
|10:00 am||to||11:00 am|
The second webinar in the series, this one on optimizing business decisions with predictive analytics. Harnessing value with predictive analytics depends on some careful choices: What kind of customer behavior you predict and which operational decisions you automate with it. This webinar will guide you in making these choices, and cover a healthy dose of the core technology along the way.
The conference chair of Predictive Analytics World and president of Prediction Impact, Inc., Eric Siegel, Ph.D. is an expert in predictive analytics and data mining and a former computer science professor at Columbia University, where he won awards for teaching, including graduate-level courses in machine learning and intelligent systems – the academic terms for predictive analytics. After Columbia, Dr. Siegel co-founded two software companies for customer profiling and data mining, and then started Prediction Impact in 2003, providing predictive analytics services and training to mid-tier through Fortune 100 companies. Dr. Siegel is the instructor of the acclaimed training program, Predictive Analytics for Business, Marketing and Web, and has published 13 papers in data mining research and computer science education.
More coming over the following weeks – I will post them on the blog gradually but you can get the list of registration page for the series.