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Alex Ratner is CEO and co-founder of Snorkel AI and an Assistant Professor of Computer Science at the University of Washington. He recently joined the Future of Data-Centric AI event, where he presented the principles of data-centric AI and where it’s headed. If you would like to watch his presentation in full, you can find it below or on Youtube. The Future of Data-Centric AI brought together experts on data-centric AI from academia, research, and industry to explore the shift from a model-centric practice to a data-centric approach to building AI. Watch the complete event to learn more about the challenges, solutions, and ideas to make AI practical, both now and in the future. More related videos: • Data-centric AI | Snorkel AI More related videos: • AI Data Development: Building Better AI Th... More related videos: • The Future of Data-Centric AI 2021 | Snork... #datacentricai #aidevelopment #futureofai 0:00 Introduction 2:37 Model-centric Al development 5:16 Data-centric vs. model centric Al development 5:58 Principles of Data-Centric Al 7:59 ML development previously: Model-centric 9:29 Major shift to more powerful, automated, but also data-hungry models 10:45 These model architectures are increasingly convergent and commoditized 12:32 ML development today: Data-centric 14:01 Al today is blocked by training data 14:52 ML development has a new bottleneck 16:54 Real world challenges of training data 18:10 Ethical & governance challenges of manually labeling training data 19:21 A new approach: Programmatic labeling 20:22 The Snorkel Project 20:44 Snorkel Flow: A data-centric Al development platform 22:20 Label & Build 23:37 Integrate & Manage 24:56 Train & Deploy 25:11 Generalize beyond programmatic labels in Snorkel Flow 25:45 Scale with unlabeled data 26:23 Analyze & Monitor