Weak Supervision in Practice


Weak supervision is fundamentally changing how enterprises are developing AI applications. Over the past few years, companies have been able to save tens-of-millions of dollars in manual labeling costs and dramatically reduce the time it takes to deploy production models and end-to-end AI applications by applying weak supervision with Snorkel Flow.

In this session, we’ll do a deep dive into a couple of real-world case studies to walk you through the challenges that these companies faced and how they used weak supervision with Snorkel to solve them.


Patrick Kolencherry currently runs platform marketing at Snorkel AI, a data-centric AI platform powered by programmatic labelling. Prior to joining Snorkel, he was a Product Manager on a machine learning product at Twilio (Voice Intelligence). Patrick has held a variety of roles in Product Marketing, Sales, and Engineering and lives in Austin, Texas with his wife and dog.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Consent to display content from - Youtube
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google