Music Business virtual events are a forum to showcase new products and services.
Our Common Ground Webinar Series is a forum to showcase new products and services, give members important Association updates, and present the newest market and consumer intelligence from our trusted research partners.
Past presenters have included: BandPage, Bridge Ratings, Buzz Marketing, DDEX, Edison Research, Futuresource Consulting, Haulix, MIDiA Research, MusicWatch, Music Reports, Neurotic Media, Next Big Sound, Nielsen Music, Parks Associates, Royalty Solutions, Songspace, Spotify, Synchtank, Triton Digital, and more.
See our fall 2018 content below. Additional webinar content will be posted soon, be sure to check back often.
October 4, 2-3 PM ET
Exactuals RAI: Perfecting Music Metadata Through Machine Learning
The music business has gone digital: it’s an indisputable fact. But despite nearly two decades of growth since the launch of the first online music stores in the early 2000s, the music industry still has a massive metadata problem. The lack of one unified standard and prevalence of poor-quality metadata means that many artists, labels, publishers, and other stakeholders are not being paid fairly for the use of their works, or not being paid at all. That’s where Exactuals’ RAI (royalties.ai) comes in.
RAI is a software development kit and open API that allows music companies to programmatically correct and enhance song and recording metadata to meet the multiplicity of global digital distribution standards. Via machine learning and entity resolution, RAI optimizes and enhances music metadata for record labels, publishing companies, performance rights organizations (PROs), and digital service providers (DSPs) to ensure works are registered properly for royalty attribution.
In this webinar, Exactuals Head of Music Product Chris McMurtry and Lindsay Conlin, who works in Music and Data Business Development at Exactuals, will walk attendees through the process of adopting and utilizing RAI, explain why machine learning is key to perfecting metadata, and show how Exactuals is working with companies like DotBlockchain to solve the metadata problem.