Scale By The Bay 2020: David Aronchick, Owned By Statistics: How Kubeflow & MLOps Can Help Secure...

ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Title: Owned By Statistics: How Kubeflow & MLOps Can Help Secure Your ML Workloads 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. David Aronchick Microsoft Head of OSS ML Strategy 53.341874, -6.286709 David leads Open Source Machine Learning Strategy at Azure. This means he spends most of my time helping humans to convince machines to be smarter. He is only moderately successful at this. Previously, he led product management for Kubernetes on behalf of Google, launched Google Kubernetes Engine, and co-founded the Kubeflow project. He has also worked at Microsoft, Amazon and Chef and co-founded three startups. When not spending too much time in service of electrons, he can be found on a mountain (on skis), traveling the world (via restaurants) or participating in kid activities, of which there are a lot more than he remembers than when he was that age.