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Sean Power
Assisting landlords, property investors, and franchise operators to generate more revenue from their building assets.
Sean Power is a talented Partnership Manager at IWG, a leading provider of flexible office space under renowned brands like Regus, Spaces, HQ, and Signature.
He has a rich educational background, including a Higher Diploma in Software Development from the University of Limerick and a Honours Degree in Business & Computing from Limerick Institute of Technology.
Sean's extensive career includes diverse roles such as Member of the Board of Directors at Propel, CEO & Co-founder at Musical AI, and Executive Officer & Entrepreneur-in-Residence at Indigenous Centre for Cumulative Effects, showcasing his versatile skills and experiences.
His past engagements involve significant positions like Co-founder, CEO at Repable, Chief Marketing Officer at Bitmaker Labs, and Head of Data at Cheezburger, indicating a strong leadership and strategic acumen.
With an impressive history working across various industries and organizations, Sean has demonstrated expertise in areas ranging from marketing and data management to entrepreneurship and product development.
Highlights
🚀 Exciting News! 🚀
I'm thrilled to announce the launch of Musical AI (formerly SOMMS AI), the groundbreaking rights management platform for generative AI. The platform connects rights holders (labels, publishers, artists) with AI companies, ensuring proper attribution and licensing of copyrighted works.
🌟 Highlights of Musical AI:
- Innovative technology tracking input sources for every generated output.
- Effortless attribution for original artists and songwriters.
- Comprehensive support for take-downs and end-of-license sunsetting.
- Accurate metering of all inputs and outputs.
- Ready access to legal, high-quality music and GPUs for generative AI companies.
As pioneers in ethical AI, we're dedicated to valuing human creativity and fostering a sustainable future for generative AI. Our commitment has earned us certification from the generative AI watchdog, Fairly Trained (https://lnkd.in/gzRuwNaA).
Discover more: https://lnkd.in/g4VkF5Nz
As my co-founder Matt said - "There, we fixed it! Generative AI for Music that is. Now with transparent, auditable Attribution right down to the writer and performer level from the training data."
We think it's insane that companies are training on art that they don't own the rights to. And we think there is no industry / vertical that understands this more than music.
And we've decided to do something about it. Here's how:
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Our customers train their own base models on the music they own the rights to. They have full visibility on what is in their model.
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For each generative outputs made through our system, an attribution report is made that accurately identifies which training model objects (ie - a particular song) influenced the generative output, and by how much.
The lie that you cannot trace back the origin of anything in Gen.AI has to stop. We must acknowledge the human creative DNA that the industry is using to train their AI models with.
And we're going to do just that, by example.
We're so proud to introduce https://www.somms.ai. This is what I've been up to with Matthew Adell, Nicolas Gonzalez Thomas and James Maxwell for the last year+.
Proud to be building this partly in the east coast. Proud to be building this mostly in Canada (with Matt in Los Angeles, the epicenter of music).
I'm so proud of the work we're doing with SOMMS.AI.
#MusicAI #Innovation #MusicAttribution #AI #Tech #MusicIndustry
