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The Data Driven Juke Box: Rock Stars panel discussion

Advances in data center infrastructure have enabled some streaming music services to explore new methods of recommending music to people. But many of these services already have complex and arguably very successful systems in place. Now the time has come for researchers to demonstrate the advantages of the new approaches. In this talk we'll discuss the challenges and opportunities that these new approaches present. We'll also explore the role that human curation plays in contemporary music streaming.

Meet the Rock Stars: 

Jordan Novet, Reporter at VentureBeat - Moderator

Jordan Novet is a VentureBeat staff writer based in San Francisco. He writes about big data, cloud computing, and other technology for business. He previously covered those things at Gigaom.

Jennifer Kennedy, Director Data Science Engineering at Soundhound

A longtime industry veteran, Jennifer and team are charged with building the data infrastructure for SoundHound, a company focused on revolutionizing the way people interact with mobile devices by delivering innovative technologies and compelling user experiences in sound recognition. Over a long and varied career focusing on working with internet scale data, Jennifer previously has been with Microsoft as a Senior Engineering Manager as well as a number of startups in various  technical leadership roles including WebTV, Tellme Networks, Linden Lab, and Lookout Mobile Security.

Òscar Celma, Director of Research, Data Science team at Pandora 

Òscar Celma is currently Director of Research at Pandora, where he leads a team of scientists to provide the best personalized radio experience. From 2011 till 2014 Òscar was Senior Research Scientist at Gracenote. His work focused on music and video recommendation and discovery. Before that he was co-founder and Chief Innovation Officer at Barcelona Music and Audio Technologies (BMAT). Òscar published a book named "Music Recommendation and Discovery: The Long Tail, Long Fail, and Long Play in the Digital Music Space” (Springer, 2010). In 2008, Òscar obtained his Ph.D. in Computer Science and Digital Communication, in the Pompeu Fabra University (Barcelona, Spain). He holds a few patents from his work on music discovery as well as on Vocaloid, a singing voice-synthesizer bought by Yamaha in 2004.

David Blutenthal, CEO & Founder at MoodSnap 

David Blutenthal is Founder & CEO of Moodsnap – an emotion-tuned music discovery service. Uniquely categorizing co-curated music stations not by words, but by images, Moodsnap provides an instinct-driven, contextual music experience that appeals to visual thinkers, making selecting what to hear as easy tapping an image that feels right. David has spent the last 12 years in the music business as an artist manager, talent developer, indie label owner, marketer, publicist, and app developer. He is also the founding organizer of the Boston Music-Tech Meetup and holds an MBA from the F.W. Olin School of Business at Babson College, and a B.A in Psychology from the University of Colorado at Boulder. 


- 6.00 - 6.45pm: Networking, music, food & drinks
- 6.45 - 7.00pm: Introductions
- 7.00 - 7.20pm: Speakers' presentations
- 7.20 - 8.10pm: Panel Discussion
- 8.10 - 8.30 pm: Q&A session


Public transportation: The 19th Street BART station is about two blocks from Pandora. You can verify your best route at

Parking: There are also several parking lots in the surrounding area

Join or login to comment.

  • Hintzy S.

    Thank you for organizing this great event, Pashu; and thank you to Pandora for hosting it.
    And don't forget to try the innovative data-driven jukebox Musicovery- ;-). Questions on our technology are welcome.

    November 19, 2014

  • Raul S.

    Thank you all for a great night of discussing about music, psychology, moods, data collection, data analysis, deep learning, and more. PS: I'm the biggest SoundHound fan now! That should be an "essential" app for every phone! Just sing/hum/whistle

    2 · November 13, 2014

  • A former member
    A former member

    Looking forward to it!

    November 12, 2014

  • Pras

    ML enthusiasts in SF may recall a recent demo by Steve Tjoa of HumBeats where he demonstrated a feature-extraction method using ML. He played tunes on his own violin, and used the software to learn and then replay it back.

    1 · November 11, 2014

  • Pashu P.

    Make sure to read Jordan Novet story on deep learning and music streaming featured today on VentureBeat

    November 11, 2014

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