What Computers Can Teach Us About Humans

What Computers Can Teach Us About Humans

Brands have traditionally understood their customers using survey data and focus groups. In an era where those customers leave behind a digital record of their interests and motivations throughout the day, machine learning offers a route to a richer understanding of those people and their relationships with the brand

Chief Data Scientist Melinda Han Williams recently joined the UX + Data Meetup to share Dstillery’s approach to customer segmentation using digital observed behavioral data, in particular web browsing behavior across millions of sites. A key challenge to working with such high dimensional data is finding a representation and visualization that allows us to effectively make use of and intuitively understand the data. She explores how Dstillery trains a neural network on billions of behavioral interactions to create a semantic embedding of web browsing behavior. The result is a map of the internet, which they use to drive unsupervised machine learning for customer segmentation. Watch the session below.

Video by Bill Prickett