I have been working on a collaborative data collection and exploitation scheme, CEEMID, which origianlly provide live muisc, recording side and publishing side data, economic impact indicators, education indicators about three data-poor countries, but eventually covered the entire EEA/EU area. During the consultation period of the European Music Observatory I realized that much of this observatory could be realized with reserach automation, open source software and already availlable open data. I set-up a startup company in August 2020 with my minority co-founder Reka Szentirmay, and we have entered with the idea of research automation, the creation of automated data observatories and connecting trustworthy, transparent AI solutions into the prestigious Yes!Delft AI + Blockchain Validation Lab. Till December 2020 we have validated the idea, and we have found that there is serious interest among the music industry, research universities and various collective management and trade organizations in the idea. In the music industry 99% of the music businessses are small- and medium sized companies (even collective management usually falls in this range) with no significant (market) research or data processing capacities. The music industry is losing very significant montary value (that we quantified in some countries) to data monopolies, or via the value gap, because it relies on data/IT platforms of larger enterprises, and it cannot develop its own AI applications due to small business size. In the EU, and in other form in US, AU, most taxpayer funded research covers music to some extent, and its results can be re-used with little or no cost. Exploiting these data sources requires very special knowldedge and large data processing capacity that we are building on an open-source basis. This can feed business KPIs, policy indicators, grant applications, or create ethical AI such as our demo recommendation system made for the largely unseen Slovak music repertorie.
Steve Farris, UK