MLOps for Musicians


How far can we take democratization of data and AI? As an eccentric progression of my quest to answer this question, I currently work at Qosmo, Inc. whose mission is to advance human creativity with AI. In this talk I will talk about AI for music. In recent years, there has been some remarkable progresses in AI for music and I will cover these developments in summary of the recent white paper I published. It may not be a surprise to find out that musicians are not the most technical users. We therefore released Neutone, an AI audio plugin & community, in the aim of bridging the gap between AI research and musical creativity.


Akira is a renowned data scientist in Japan who led the growth of DataRobot Japan as CEO until June 2021. His background in entrepreneurship (Shiroyagi Corporation), strategy consulting (BCG), experimental particle physicist (LHC, CERN) gives him a unique edge to develop business potential of AI and data technologies. He has worked with over a hundred companies in deploying advanced analytics and digital transformation projects. His active podcast and blog can be found through the links.

Open Data Science




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