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Virtual Event
November 17–November 20, 2020
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Thursday, November 19 • 2:55pm - 3:30pm
Cloud Native Machine Learning Systems at Day Two and Beyond - Sophie Watson & William Benton, Red Hat

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You’re probably already convinced that Kubernetes is the right infrastructure for your next machine learning initiative, but you may not be ready for some of the speedbumps that await you on the way. This talk will introduce some of the challenges unique to machine learning systems, prepare you for the tradeoffs you’ll face supporting practitioners and putting systems in production, and present some of the additional tools you’ll need in your DevOps toolbox as your cloud-native machine learning systems mature. You’ll learn how to negotiate pitfalls related to interactive development, reproducibility, and monitoring machine learning systems in production with concrete solutions inspired by our experience with end-users in various industries.
Speakers
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 →
avatar for William Benton

William Benton

Principal Product Architect, NVIDIA
William Benton is passionate about making it easier for machine learning practitioners to benefit from advanced infrastructure and making it possible for organizations to manage machine learning systems. His recent roles have included defining product strategy and professional services... Read More →

Thursday November 19, 2020 2:55pm - 3:30pm EST
Intrado Virtual Event Platform
  Machine Learning + Data