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28min chapter
Ep 15: Snorkel AI CEO Alex Ratner on What's Needed for Wider-Spread Enterprise AI Adoption
Unsupervised Learning
Developing Programmatically Labeled Data with Weak Supervision
The chapter explores how Snorkel developed programmatically labeled data using weak supervision, explaining the process of writing labeling functions that label data based on patterns. It emphasizes the importance of problem selection in AI projects, the trade-offs between easy and bespoke tasks, and the necessity of carefully chosen data over volume. The discussion also covers strategies to handle errors in AI systems, the challenges of measuring success in enterprise AI adoption, and the barriers faced by enterprises in deploying generative AI use cases.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode