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 in an Emerging Technology Group at Red Hat, where she applies her data science and statistics skills to solving business problems and informing next-generation infrastructure for intelligent application development. She has a background in mathematics and holds a PhD in Bayesian statistics, in which she developed algorithms to estimate intractable quantities quickly and accurately.

Sessions

11:45am12:30pm Tuesday, July 16, 2019
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.