Day 2 - June 08
Lessons From a Year with Snorkel: Data-Centric Workflows with SMEs at Georgetown
When the Center for Security and Emerging Technology began experimenting with Snorkel, we had two high-level goals. We aimed to address recurring bottlenecks in our ML projects, and improve collaborative workflows between data scientists and subject-matter experts. In this talk, we share takeaways from the half-dozen project teams who used Snorkel in the past year. We identify friction points in adoption, summarize feedback from SMEs, and we discuss which challenges Snorkel has helped us address, and which remain.