Category: Startups
Several tools exist today that allow artists and brands alike to generate high-quality, convincing AI voices with just minutes of training data.
Hint: Yes, it really is about the music.
Over the last few months, three teams working on the bleeding edge of music AI technology led private workshops for the Water & Music community, as part of our Season 3 research on creative AI for the music industry.
Addressing artists’ legal questions about creative AI and ownership, through the lens of AI tools’ terms of use.
A comprehensive, first-of-its-kind framework for understanding the music AI tooling landscape, including greater transparency into tech stacks, use cases, and business models for all stakeholders in the music AI value chain.
A comprehensive, first-of-its-kind framework for understanding the music AI tooling landscape, including greater transparency into tech stacks, use cases, and business models for all stakeholders in the music AI value chain.
There is a new generation of alternative streaming and curation services being built on top of music NFTs, providing a crucial contextual and social layer on top of the wider music/Web3 ecosystem as it scales.
A self-directed guide for artists and their teams to explore the diverse set of entry points into musical metaverse experiences.
Cutting through the hype to present tangible, focused opportunities for growth and improvement around one of the most in-demand and fundamental use cases for musical metaverse experiences today: Having fun with friends.
A diverse set of ideas to monetize music IP and engage meaningfully with fans in the metaverse, across three main categories: Creating visually immersive content, licensing music IP directly to platforms’ content libraries, and making artist IP available for user identity and expression.
A set of nine artist- and fan-centric design principles for building the next generation of musical metaverse experiences.
Artificial intelligence and machine learning are ushering in a whole new paradigm for music-making, where automated processes and tools are aiming to augment or even replace fundamental compositional and engineering skills.