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Human | Computer | Software Design & Product Management

Software Design and Product Management. August 1, 2013. How Spotify can take over the world. Spotify is well equipped to become a predictor and analysis engine for the music industry. The improvement of musical analysis technologies (ex: Melodyne DNA. Combined with information about listening habits, social spread and stickiness, combined with a library of all of the world’s music is a great recipe for big data. There are so many patterns to extract. Tastes are similar to Mary’s, it should recommen...

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Human | Computer | Software Design & Product Management | humancomputerblog.com Reviews
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Software Design and Product Management. August 1, 2013. How Spotify can take over the world. Spotify is well equipped to become a predictor and analysis engine for the music industry. The improvement of musical analysis technologies (ex: Melodyne DNA. Combined with information about listening habits, social spread and stickiness, combined with a library of all of the world’s music is a great recipe for big data. There are so many patterns to extract. Tastes are similar to Mary’s, it should recommen...
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Human | Computer | Software Design & Product Management | humancomputerblog.com Reviews

https://humancomputerblog.com

Software Design and Product Management. August 1, 2013. How Spotify can take over the world. Spotify is well equipped to become a predictor and analysis engine for the music industry. The improvement of musical analysis technologies (ex: Melodyne DNA. Combined with information about listening habits, social spread and stickiness, combined with a library of all of the world’s music is a great recipe for big data. There are so many patterns to extract. Tastes are similar to Mary’s, it should recommen...

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Software Design and Product Management. August 1, 2013. How Spotify can take over the world. Spotify is well equipped to become a predictor and analysis engine for the music industry. The improvement of musical analysis technologies (ex: Melodyne DNA. Combined with information about listening habits, social spread and stickiness, combined with a library of all of the world’s music is a great recipe for big data. There are so many patterns to extract. Tastes are similar to Mary’s, it should recommen...

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