Music data presents challenges for AI and blockchain

music data

Underlying issues in music data present challenges to new technologies such as blockchain and Artificial Intelligence (AI), according to a new report from the Intellectual Property Office (IPO).

The study, entitled Music 2025: the music data dilemma, investigates the opportunities and challenges of managing data in the diverse music industry.

It found that databases are often developed in silos, leading to information-sharing issues which could limit the benefit of new technologies such as AI or blockchain.

The findings are based on research carried out by Ulster University on behalf of the IPO and reflect the views of over 50 high-profile UK based music industry representatives.

The IPO recommends that improved awareness of the importance of high-quality data and adherence to standards, together with greater collaboration and use of emerging technology, are likely to increase value for creators, performers and rightsholders.

It also said that digital data is an issue for the whole music industry, partly because of disconnections between the ways in which music can be created, disseminated and remunerated across digital platforms.

This results in significant challenges in ensuring fair attribution and remuneration of content creators.

The report identifies four recommendations on how to start solving these challenges. These include: improving education and awareness to improve standards of data input; collaborating to improve communication across the sector; developing technical solutions to allow for data-sharing, and; developing data governance to ensure adherence of data standards.

John Mottram, PRS for Music’s head of policy and public affairs, told M: ‘We welcome the IPO’s Music 2025 research and its focus on data flows within the music industry.

‘We are grateful for the acknowledgement of the work which PRS for Music, often in partnership with PPL, has undertaken in recent years and our future plans to improve the quality and integrity of identifiers of musical works.

‘Identification of works, their ownership and usage is essential to ensure accurate and timely distribution to our members. We share the report’s aspirations for better understanding and education into data standards and identifiers and look forward to work with government to explore ways to support future initiatives in this area.’