Skip to content

Using Machine Learning for Pure Discovery

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.


  • Learn how feature engineering can power data discovery
  • See hands-on demonstrations of the power of Feature Engineering-based data discovery in action
  • Learn what steps you need to take to prepare your marketing data