Fueling innovative software
July 15-18, 2019
Portland, OR
Sophie Watson

Sophie Watson
Senior Data Scientist, Red Hat

Sophie Watson is a senior data scientist at Red Hat, where she helps customers use machine learning to solve business problems in the hybrid cloud. She’s a frequent public speaker on topics including machine learning workflows on Kubernetes, recommendation engines, and machine learning for search. Sophie earned her PhD in Bayesian statistics.

Sessions

11:45am–12:30pm Tuesday, July 16, 2019
Kubernetes for machine learning: Productivity over primitives
ML Ops Day
 Location: E145/146
Sophie Watson (Red Hat), William Benton (Red Hat)
Average rating: ****.
(4.67, 3 ratings)
Sophie Watson and William Benton demonstrate high-level open source tools that build on Kubernetes to solve machine learning workflow pain points. They explain why Kubernetes is great for ML and present tools that effortlessly provision custom research environments, publish reproducible notebooks, operationalize models and pipelines as services, and detect data drift automatically. Read more.