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Seattle, WA
December 10–13, 2018
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Tuesday, December 11 • 4:30pm - 5:05pm
Why Data Scientists Love Kubernetes - Sophie Watson & William Benton, Red Hat

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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

Senior Principal Software Engineer, Red Hat
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

Software Engineer, Red Hat
Sophie is a software engineer at Red Hat, where she works in an emerging technology group. She has a background in Mathematics and has recently completed a PhD in Bayesian statistics, in which she developed algorithms to estimate intractable quantities quickly and accurately. Since... Read More →



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