Sound information is all you need

Event description

Academic events
Arts and entertainment
Family friendly
Free
Open to the public

Abstract:

In this GAME School special seminar, hear from industry veteran Kobi Abayomi, previously founding Senior Vice President of Data Science at Warner Music Group (WMG), where he led analytics globally across WMG, driving valuable business insights through which the company could measure and maximize success for its artists and songwriters. In this talk, he will talk about algorithms used in industry for music recommendation in streaming services. It turns out affinity for a song is predictable from its sound. We explore the statistical predictability of aggregate song demand from an informational representation.

Bio:

Abayomi is a Clinical Assistant Professor of Data Science at the School of Mathematics and Statistical Sciences (SoMSS) at Arizona State University, and the Head of Science for Gumbel Demand Acceleration/Beta side Recording - Software as a Service (SaaS) and digital media recording companies.

Abayomi was the first and founding SVP of Data Science at Warner Music Group (WMG) and the Director of Monetization at Warner Media. He has been a Professor of Industrial Engineering, Probability, and Statistics & Environmental Science at Georgia Tech, Universidad de Cuenca, and Binghamton University. He holds a Ph.D. in Probability and Statistics from Columbia University and Post-Doctorates from Duke and Stanford Universities. Dr. Abayomi serves on the Advisory Council at the Ivan Allen College at the Georgia Institute of Technology.