Abstract: 

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.

Bio: 

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.