Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

Music, the window into your soul

Christine Hung (Spotify)
9:50am10:05am Wednesday, September 27, 2017
Location: 3E
Average rating: ****.
(4.09, 11 ratings)

Have you ever wondered why you are so addicted to certain genre or artists? Have you ever wondered why Spotify just seems to know what you want? As a data-first company, Spotify is investing heavily in its analytics and machine learning capabilities to understand and predict user needs. Christine Hung shares how Spotify uses data and algorithms to improve user experience and drive business impact.

Photo of Christine Hung

Christine Hung

Spotify

Christine Hung leads the data solutions team at Spotify, which collaborates with business groups across the company to build scalable analytics solutions and provide strategic business insights. Previously, Christine ran the data science and engineering team at the New York Times, where her team partnered closely with the newsroom to build audience development tools and predictive algorithms to drive performance; she was also head of sales analytics for iTunes at Apple and a business analyst at McKinsey & Company. Christine grew up in Taiwan and currently lives in Manhattan with her family. She holds an MBA from Stanford Business School.

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Karunesh Bhardwaj | ARCHITECH
09/29/2017 9:53am EDT

can we get the slide deck