December 16th, 2021 | 40 mins 34 secs
aws, machine-learning, mlops, zenml
This week, we spoke with Danny Leybzon, currently working with WhyLabs to help data scientists monitor their models in production and prevent model performance from degrading. He previously worked as a kind of roving data scientist and engineer, helping companies put their models into production.
December 2nd, 2021 | 47 mins 14 secs
aws, machine-learning, mlops
Noah Gift is the founder of Pragmatic A.I. Labs and author of 'Practical MLOps'. We discuss the role of MLOps in an organisation, some deployment war stories from his career as well as what he considers to be 'best practices' in production machine learning.
November 19th, 2021 | 22 mins 18 secs
Adam and Hamza introduce themselves for the first episode of Pipeline Conversations. They discuss the world of MLOps, where ZenML sits within this space, and why it's such a complicated problem to solve.