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Friday, November 13 • 10:45am - 11:15am
Owned By Statistics: How Kubeflow & MLOps Can Help Secure Your ML Workloads

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While machine learning is spreading like wildfire, very little attention has been paid to the ways that it can go wrong when moving from development to production. Even when models work perfectly, they can be attacked and/or degrade quickly if the data changes. Having a well understood MLOps process is necessary for ML security! In this talk, we will demonstrate the common ways machine learning workflows go wrong, how using MLOps pipelines provide reproducibility, validation, versioning/tracking, and safe/compliant deployment. We will also talk about the direction for MLOps as an industry, and how we can use it to move faster, with less risk, than ever before.

avatar for David Aronchick

David Aronchick

Program Manager, Azure, Microsoft
David Aronchick leads open source machine learning strategy at Azure. He spends most of his time helping humans convince machines to be smarter. (He’s only moderately successful at this.) Previously, he led product management for Kubernetes on behalf of Google, launched Google Kubernetes... Read More →

Friday November 13, 2020 10:45am - 11:15am PST