Built labeling functions that cut manual dataset labeling from months to minutes; 52% performance improvement labeling 6.5M data points for content classifiers

Google built labeling functions that cut manual dataset labeling from months to minutes; 52% performance improvement labeling 6.5M data points for content classifiers.

Snorkel AI is a data-development and evaluation company whose programmatic labeling tools build training and benchmark datasets used to stress-test whether a model approach is viable before a full build.

This sits in the Design & Stress-Test stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to scope, prototype and benchmark an AI use case before committing to build it — data-catalog, sandbox and evaluation platforms.