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In the live music industry, the opportunities of technology and digital data are very little used in forecasting the demand of the popularity of live shows of an artist or a band. This problem is creating a risk of wrong decisions, lost potential, unsuccessful shows, and lost revenue. We want to use the potential that the available digital data of today is offering, to forecast and predict the demand of live music shows and music consumption in general. Our solution is to use huge amounts of data, human behaviour patterns, and machine learning, for the benefit of the players in the industry.

Looking for

We're looking for individuals with one or many of the following skills, experience and interest in order to develop the idea and plans into a prototype: music industry, demand forecasting, probability theory, probabilistic forecasting, behavioural science, machine learning, neural networks, statistics, analytical skills, Python programming, SQL.
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