November 13–15, 2018 - Shanghai, China
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To view the Chinese version of this schedule please go here.

Simultaneous translation will be provided for all keynote and breakout sessions.
Wednesday, November 14 • 11:05 - 11:40
A Day in the Life of a Data Scientist. Conquer ML Lifecycle on Kubernetes - Rita Zhang & Brian Redmond, Microsoft

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Ever wondered how machine learning models are built? Well, here’s your opportunity to come spend a day in the life of a data scientist. This will be a practical guide to the day-to-day lifecycle of a machine learning model. Dive end-to-end through code collaboration, dataset preparation, training and serving. We will cover how to utilize open source tools like Kubeflow and offer an in-depth view of how they operate and aide the machine learning development lifecycle. This session is for both data scientists and infrastructure/SRE teams alike helping bring the benefits of DevOps to AI and machine learning.

avatar for Brian Redmond

Brian Redmond

Cloud Architect, Microsoft
I am a Cloud Architect on the Azure Global Black Belt team at Microsoft. I focus on containers, microservices, and cloud native applications in the Azure cloud platform. I have been working in technology for over 20 years and have a mixed background from application development to... Read More →
avatar for Rita Zhang

Rita Zhang

Principal Software Engineer, Microsoft
Rita Zhang is a Principal software engineer at Microsoft, based in San Francisco. She spends most of her days contributing to various open source projects as part of the Azure Cloud Native Compute engineering team. Rita is passionate about open source, running distributed workloads... Read More →

Wednesday November 14, 2018 11:05 - 11:40
2F Room 1