Head of Open Source ML Strategy
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 Engine, and cofounded the Kubeflow project. He’s also worked at Microsoft, Amazon, and Chef and cofounded 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 when he was that age.
GitOps for Machine Learning Ops
While DevOps and GitOps have made huge traction in recent years, many customers struggle to apply these practices to ML workloads. This talk will focus on some best practices to bring GitOps to MLOps for production-grade applications and possibilities for the future.