Abstract

Leveraging Interactions: An overview of data-driven approaches to finding new sources of predictive information.

Interactions are a powerful source of information in predictive modelling, but are often overlooked in the absence of easy-to-use tools and techniques. In this session, Chris will walk through some data-driven approaches to identifying and capturing interactions in the form of segments, rules, and variables containing stand-alone or marginal predictive information.

Speaker Bio

Chris is currently President of Foundation Analytics Inc., a Toronto-based analytic consulting and software development company specializing in the development and delivery of leading-edge analytic solutions through an easily accessbile and highly-scalable computing environment. Prior to joining Foundation, Chris held various analytic positions at IBM, Canada Trust, mbanx, and Bank of Montreal, and most recently completed a ten-year stint as Principal Scientist in the core research group at FICO.