Product details

By continuing to use our site you consent to the use of cookies as described in our privacy policy unless you have disabled them.
You can change your cookie settings at any time but parts of our site will not function correctly without them.
Prize winner
Case
-
Reference no. 9-506-009
Subject category: Marketing
Published by: Harvard Business Publishing
Originally published in: 2005
Version: 5 September 2006
Revision date: 29-Jul-2011

Abstract

In 2003, Mike McCready, CEO of Barcelona-based Polyphonic HMI, was preparing to launch an artificial intelligence tool that could create significant value for music businesses. The technology, referred to as Hit Song Science (HSS), analyzed the mathematical characteristics of music and compared them to characteristics of past music hits, making it possible to determine a new song's hit potential. McCready must decide on a target market - record companies, producers, or unsigned artists - and develop a marketing plan that helps overcome the likely resistance against adoption.
Locations:
Industry:
Size:
USD100,000 revenues, 20 employees
Other setting(s):
2003

About

Abstract

In 2003, Mike McCready, CEO of Barcelona-based Polyphonic HMI, was preparing to launch an artificial intelligence tool that could create significant value for music businesses. The technology, referred to as Hit Song Science (HSS), analyzed the mathematical characteristics of music and compared them to characteristics of past music hits, making it possible to determine a new song's hit potential. McCready must decide on a target market - record companies, producers, or unsigned artists - and develop a marketing plan that helps overcome the likely resistance against adoption.

Settings

Locations:
Industry:
Size:
USD100,000 revenues, 20 employees
Other setting(s):
2003

Related


Awards, prizes & competitions