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Social Data in the Fashion Industry: Detecting the Trends

  • Bitly 139 5th Avenue New York, NY, 10010 United States (map)

Our next meetup will be hosted by Bitly and focussed on "Social Data in the Fashion Industry: Detecting the Trends". Our speakers will include speakers from the following: Paul SiegelData Scientist at Brandwatch, Taking Networks Seriously. Paul became interested in the analysis and geometry of large networks (with applications to data science) while at Columbia, and joined Brandwatch as a data scientist in August 2015.   Brandwatch found that over 99% of the conversation on Twitter surrounding luxury fashion was consumer driven, and luxury fashion brands have been slow to keep up.  Who is this not-so-silent majority?  What communities emerge from the conversation, and how is content distributed through them?  I'll describe how network analysis tools from mathematics and computer science can be deployed to answer these questions and others.

Bitly - Caitlin Rashbaum, Fashion & Social Data: What, Why & How. Caitlin Rashbaum is a Customer Success Manager at Bitly, where she oversees every aspect of the customer life cycle - including onboarding and product adoption, as well as account expansion and retention - for some of the top retail brands in the world, including Gucci, Louis Vuitton, Tag Heuer, Macy's, Gilt, Stuart Weitzman, and Tory Burch.

Gilt - Igor Elbert (@ielbert), Principal Data Scientist at Gilt. Distilling The Wisdom of A Crowd

Special thanks to the Big Boulder InitiativeTwitter.comBrandwatch, and Bitly for their support.