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.
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.