Predictive Analytics World NYC Highlights
- Advertisement -
Predictive Analytics World NYC Highlights
Download the conference preview guide for an
in-depth look at the PAW’s all-star speaker line up and array of case studies.
With over 40 case study sessions across 3 tracks, Predictive Analytics World is the industry’s must-attend event for analytics professionals – October 16-21, 2011 at the Hilton New York in New York City.
- Advertisement -
9 full-day workshops: intro, methods, hands-on, text, & more
Here’s a sneak peak at some of the case studies featured at PAW NYC:
 | Putting Predictive Analytics into Context: The Analytics Value Chain | ||
 | Piyanka Jain Head of NA Business Analytics, PayPal |  | Puneet Sharma Senior Manager PayPal |
 | Data Science at LinkedIn: Iterative, Big Data Analytics and You |
 | Manu Sharma Principal Research Scientist, |
 | They Keep Coming Back-Predicting Hospital Readmissions |
 | Fred Grunwald Vice President of Analytics New Directions Behavioral Health |
 | Predictive Analytics in Customer Digital Payments |
 | Ramendra Sahoo Senior Vice President of Analytics Citibank |
 | Using Segmentation and Predictive Analytics to Reduce Customer Attrition
- Advertisement - |
 | David Liebskind Retail Analytics Leader GE Capital |
 | Search and Social: Intelligent Matching at Match.com
|
 | Amarnath Thombre Vice President of Strategy & Analytics Match.com |
 | True-Lift Modeling: Mining for the Most Truly Responsive Customers & Prospects
|
 | Jane Zheng Principal Decision Scientist Fidelity |
Case Studies- Predictive Analytics World focuses on concrete examples of deployed predictive analytics. Hear from the horse’s mouth precisely how Fortune 500 analytics competitors and other top practitioners deploy predictive modeling, and what kind of business impact it delivers. Click here to view the agenda at-a-glance orDownload the PAW Conference Preview Guide
- Advertisement -
Register Now and realize $200 in savings. Additional savings of $200 on the two-day conference pass when you register a colleague at the same time.
