Loading…
Seattle, WA
December 10–13, 2018
Click Here for More Information & Registration
View Venue Map
Back To Schedule
Tuesday, December 11 • 4:30pm - 5:05pm
Why Data Scientists Love Kubernetes - Sophie Watson & William Benton, Red Hat

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
This talk will introduce the workflows and concerns of data scientists and machine learning engineers and demonstrate how to make Kubernetes a powerhouse for intelligent applications.

We’ll show how community projects like Kubeflow and radanalytics.io support the entire intelligent application development lifecycle. We’ll cover several key benefits of Kubernetes for a data scientist’s workflow, from experiment design to publishing results. You’ll see how well scale-out data processing frameworks like Apache Spark work in Kubernetes.

System operators will learn how Kubernetes can support data science and machine learning workflows. Application developers will learn how Kubernetes can enable intelligent applications and cross-functional collaboration. Data scientists will leave with concrete suggestions for how to use Kubernetes and open-source tools to make their work more productive.

Speakers
avatar for William Benton

William Benton

Manager, Software Engineering and Sr. Principal Engineer, Red Hat, Inc
William Benton leads a team of data scientists and engineers at Red Hat, where he has applied machine learning to problems ranging from forecasting cloud infrastructure costs to designing better cycling workouts. His current focus is investigating the best ways to build and deploy... Read More →
avatar for Sophie Watson

Sophie Watson

Senior Data Scientist, Red Hat
Sophie Watson is a data scientist at Red Hat, where she helps customers use machine learning to solve business problems in the hybrid cloud. She is a frequent public speaker on topics including machine learning workflows on Kubernetes, recommendation engines, and machine learning... Read More →



Tuesday December 11, 2018 4:30pm - 5:05pm PST
611-614