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Bill Rosenblatt

Music Adjunct Faculty

Music and Performing Arts Professions

Bill Rosenblatt is an expert on technology, data, and intellectual property issues in music. He is president of GiantSteps Media Technology Strategies, the strategy consulting firm that he founded in 2000. Bill's music industry clients have included major digital music services (Spotify, Pandora), major record labels (Warner Music Group, Sony Music), and technology companies ranging from startups to Google, HP, and British Telecom. He has consulted to public policy entities on issues related to copyright in the digital age in the US, Europe, and Asia; and he has served as an expert witness in copyright and patent litigations involving technology related to digital media and copyright, including royalty rate-setting proceedings for digital music services. 

Prior to founding GiantSteps, Bill's background includes stints as CTO of an Internet education startup at Columbia University, CIO of a division of McGraw-Hill, and marketing and consulting positions at Sun Microsystems. He began his career as a software engineer in data communications at Motorola.

Bill writes the Copyright and Technology blog and is program chair and co-producer (with the Copyright Society of the USA) of the annual Copyright and Technology Conferences. He has spoken at conferences around the world including the World Economic Forum in Davos, Switzerland. He is a media and entertainment contributor to Forbes and the lead author of a book on digital rights management.

Bill has a BSE in Electrical Engineering and Computer Science from Princeton University, an MS in Computer and Information Science from the University of Massachusetts, and continuing education in business and finance from NYU. He serves on the board of Princeton Broadcasting Service, which operates WPRB-FM, the student-run radio station at Princeton. He plays guitar with the Copyright Society of the USA house band Crude Humble & Obvious. 

Bill has been an Adjunct Faculty member in the Music Business program since 2019; he teaches the course Data Analysis in the Music Industry.