No Annotators Needed: Automating Enterprise Labeling with GenAI & Weak Supervision

I’ll demo how we generate structured, high-confidence labels from messy enterprise data using LLMs and weak supervision—without manual annotators.
We use Python ASTs to validate GenAI-generated labeling functions, then combine them with a generative model to produce probabilistic labels. These power downstream models for fraud detection, dynamic pricing, and more.