Kubeflow for Enabling AI Powered Drug Discovery and Development in AstraZeneca

Explore how AstraZeneca leverages Kubeflow to power their enterprise-scale AI platform Azimuth for drug discovery and development in this 27-minute conference talk. Discover the architecture of AstraZeneca's first cloud-native machine learning platform and learn how Kubeflow enables scalable AI workflows across dedicated namespaces with persistent volume storage. Gain insights into advanced implementation techniques including cross-namespace volume access configuration, custom Kubeflow notebook image creation with VS Code integration, and self-hosted GitHub runner deployment for automated pipeline triggering. Examine how the platform integrates with essential tools like Grafana for monitoring, ArgoCD for continuous deployment, and Argo Workflows for orchestration. Understand the security and compliance framework implemented through Kyverno policies for custom image governance. Learn about the GreenOps framework and sustainable AI practices that guide the development of environmentally conscious machine learning solutions in pharmaceutical research.