Turning Sound Into Information: Warner Music Group's Kobi Abayomi
Specialized teams — particularly technology teams — often face challenges as they strive to work cross-functionally, especially at legacy organizations. For Kobi Abayomi, vice president of data science at Warner Music Group, addressing such challenges starts with hiring strong talent into the technology function.
In this episode, Kobi joins Sam and Shervin to explain how the music company is moving its infrastructure into the digital era, how it leverages vast amounts of consumer data to make informed decisions in an increasingly challenging landscape, and how AI is helping customers discover new music they’ll love. Read the full episode transcript here.
Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger.
Kobi Abayomi is the senior vice president for data science at Warner Music Group, where he and his team enable the company to understand, respond to, and predict trends and opportunities in listening.
Abayomi has authored novel work in statistics (multivariate data imputation), econometrics (measures of inequality), and probability (distributions with fixed marginal and information theoretic measures) and has two patents pending in fraud detection and audience activation. Abayomi serves on the Data Science Advisory Council at Seton Hall University and on the Ivan Allen College Advisory Board at the Georgia Institute of Technology.
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