Meet our Speakers – Miquel Farré
summary
Describes how machine learning replaces prior signal processing methods with markedly better results, documents building a Genome Project knowledge graph that extracts metadata via custom tooling and then plugs into recommenders and post‑production feedback loops, cites external licensing as monetary proof that cleaned data is an asset, and explains pursuing concrete projects applying ML to industries that remain undigitized rather than chasing every new LLM trend.
AI-written summary · about
related talks
48mFuture of Machine Learning Panel
01h 03mUsing Machine Learning and AI to serve people and communities
46mKeynote: How Can We Trust Machine Learning?
30mMachine Learning: A New Approach to Drug Discovery
21mHow The Application Of Machine Learning Is Changing The Way Companies Use Data
27mA Look Inside Applied Machine Learning
23mGraph ML – The Next Level Of Machine Learning; Learn How To Use It And When Not To
30mCultivating a company-wide machine learning culture