On this podcast, Brad Hairston talks with Alex Ratner, Co-founder and CEO at Snorkel AI, who explains how his company is helping companies tackle what he believes is the biggest obstacle to AI, the labeling of data used to train machine learning models.

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Here’s what we talked with Alex about:

*The Snorkel AI value proposition

*How the Stanford AI lab and Snorkel AI isolated the data labeling problem

*An overview of foundation models

*Differentiating generative AI from predictive AI

*How generative AI will impact companies’ adoption of AI

*How generative AI presents some challenges for intelligent automation

*The impact of data labeling at scale on the global AI race

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