Introduction to programmatic labeling

Labeling data manually has become one of the biggest blockers for building AI applications. Hand-labeling data is slow, error-prone, and risks data privacy. Programmatic labeling techniques, developed over half a decade at Stanford AI Lab by the Snorkel AI team, automate the labeling process to generate massive, high-quality datasets in minutes. Programmatic labeling has been proven to cut down AI application development time from weeks or months to minutes or days while keeping data in-house.

This webinar will cover

• The limitations of current labeling strategies and why a lack of labeled training data is holding back AI application development.
• What programmatic labeling is and how it works with examples from financial services, healthcare, and more.
• Applications of programmatic labeling that resulted in more accurate models in dramatically less time allowing models to reach production faster with far less development cost.