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Ángel Mayoral is a distinguished technologist, entrepreneur, and a key figure in the music technology industry. He is best known as the Co-founder and Chief Technology Officer (CTO) of BMAT (Barcelona Music and Audio Technologies), a company founded in 2005 that specializes in music identification, monitoring, and data reporting. With a deep passion for both music and technology, Ángel has been instrumental in developing innovative solutions that help artists, labels, publishers, and collective management organizations understand and manage music usage across various platforms. His expertise encompasses areas like audio fingerprinting, artificial intelligence, big data analytics, software architecture, and intellectual property in the digital age. Under his technological leadership, BMAT has grown into a global company, providing services to clients in numerous countries and significantly impacting how music rights are managed and royalties are distributed. He is committed to leveraging technology to create a more transparent and equitable music ecosystem.
Ángel Mayoral's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded BMAT in 2005 and has served as its CTO, leading the company's technological vision, innovation, and development of its core music monitoring and identification platform used globally.
Spearheaded the development and implementation of advanced audio fingerprinting and music recognition technologies, enabling accurate tracking of music across radio, TV, digital services, and live venues.
Played a crucial role in scaling BMAT's operations and technological infrastructure to serve a global client base, including major labels, publishers, and over 100 Collective Management Organizations (CMOs).
Contributed significantly to the music industry by providing tools and data that ensure artists and rights holders are fairly compensated for the use of their work through accurate music usage reporting.
Championed the application of Artificial Intelligence and Big Data analytics within BMAT to extract meaningful insights from vast amounts of music data, improving music discovery, rights management, and industry intelligence.
ESIC VALENCIA - Year 2014
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