2026 Talks
AI Products
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The AI Products track demonstrates the intersection of applied DS/ML methods in product form, covering topics such as full stack product development of data-oriented products, product-based implementations of new research methods, and machine-learning powered features inside products (i.e. recommendation systems, NLP based features, scoring, etc.). This is a product-focused track, where talks are usually given by technical founders or product managers with a technical background.
Director of Product
Daniel Francisco
Meta
Daniel is a Director of Product at Meta. He works on AI, Data, and Developer Infra. Daniel has a long history of working on ML & Data products including product leadership roles at ZipRecruiter, Google, Facebook, Salesforce.com, and LinkedIn.
The AI Conference for Humans Who Ship
While other conferences theorize, AI Council features the engineers shipping tomorrow's breakthroughs today.