Case Study

Bridging the Gap Between Data Science and Marketing How to Achieve Personalization at Scale With AI and ML

Bridging the Gap Between Data Science and Marketing How to Achieve Personalization at Scale With AI and ML

Pages 7 Pages

A Formation White Paper / May 2020 Bridging the Gap Between Data Science and Marketing How to Achieve Personalization at Scale With AI and ML “One aspect that should be understood is that machine learning is about augmenting and scaling decision making. If you’re trying to make more relevant content for your loyal customers, you begin at segmentations. Let’s say you’ve got half a dozen, and you try to increase relevance by going to 12. You’re doubling the complexity, but when you apply machine learning, you immediately have an additional set of capabilities you can bring to bear. You don’t have to deal with the challenge of linear rescaling. Given a specific objective, you can have machine learning begin to solve problems within a boundary, creating more relevant content with f

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