Explore Shell's journey in implementing machine learning on Kubernetes using Kubeflow in this 28-minute conference talk. Discover the challenges faced with various machine learning platforms and tools, and learn why Shell ultimately chose Kubeflow for their needs. Gain insights into deploying highly available, scalable, and secure Kubeflow clusters in the public cloud, including lessons learned and steps taken to enhance deployments with enterprise authentication, authorization, network integration, and data science workflows. Understand how Kubeflow has improved data scientists' productivity, reduced DevOps overhead, and enabled teams to become more self-sufficient in producing production-ready models efficiently. Follow this zero-to-hero story that showcases the power of Kubeflow and Kubernetes in transforming Shell's machine learning capabilities.