Walter Paliska (Vice President of Marketing, dotData)
Location: Room 147A
Date: Tuesday, September 26
Time: 1:45 pm - 2:10 pm
Pass Type: Digital Pass, All Access Pass, Main Conference
Session Type: Keynote
Vault Recording: TBD
Machine Learning has, traditionally, been used to build predictive models for everything from churn models to marketing campaign optimization. Join dotData's VP of Marketing as he discusses how a subset of the Machine Learning process - feature engineering - can be used to discover meaningful patterns from your marketing data. In this session you will see how Feature Engineering can help you understand your business, not just predict the future.
This session is brought to you by dotData.