The growth of digital platforms has led to an explosion of data. Our aim in Orfium is to effectively process this ever-increasing volume of information. We achieve this by building and deploying cloud services designed to accurately track how music is used, how music rights are managed, and ensuring rightful payments to artists and rights Holders. In this talk we are going to explore techniques that bring our AI models to production, building and maintaining our services and overcoming cost and scale barriers. Attendees can anticipate a brief overview of our services, the tools that we are using to bring our models to production, the cloud architecture that makes all this possible and a deeper dive on how technologies like vectorDBs enabled us to reach the scale we have today without breaking the bank.
talk-data.com
Speaker
Konstantinos Eftaxias
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talks
Dr. Konstantinos Eftaxias is an experienced Data Scientist with a PhD from University of Surrey, MSc in Information Technologies in Medicine and Biology in UoA and BSc in Physics from the University of Patras. Currently, he is working in Orfium as a Staff Data Scientist focusing on productising machine learning models and building scalable services for audio and video matching/classification. In his PhD, he has specialised in machine learning methods that exploit graph properties to model brain signals. Through the KTP program in the UK, he worked as a Data Scientist in WSP and University of Surrey, designing and implementing mathematical optimisation algorithms for water networks and machine learning methods for time-series prediction. Finally, he has authored more than 10 scientific papers that have been published in conferences and journals.
Bio from: 10 PyData Piraeus Meetup: LLMs with Knowledge Graphs and Information Retrieval
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