Keynote: MLOps on Highly Sensitive Data - Strict Confinement, Con... Maciej Mazur & Andreea Munteanu
Channel: CNCF [Cloud Native Computing Foundation]
Date: 2023-05-01

Keynote: MLOps on Highly Sensitive Data - Strict Confinement, Confidential Computing, and Tokenization Protecting Privacy - Maciej Mazur, Principal AI/ML Engineer, Canonical & Andreea Munteanu, AI/ML Product Manager, Canonical

MLOps is used in various organizations, that operate on very sensitive datasets. Pharmaceutical and life science companies handling human DNA samples, healthcare institutions training models on patient data, or highly regulated environments like telecom and financial companies. Many users are afraid that cloud-native would expose them more to vulnerabilities, data leaks, or other security issues. In reality, it's just the opposite. With Kubernetes and its ecosystem - Kubeflow, strict confinement for K8s using AppArmor profiles, confidential computing in case you run your workloads on the public cloud and blockchain-based tokenization you can achieve very safe and compliant setup. On the talk you will see a case study of a LifeSciences company creating customized treatments based on DNA, utilizing above mentioned technologies to run complex hybrid/multi-cloud MLOps using Kubernetes and Kubeflow.