January 27th, 2022 | 58 mins 55 secs
ai, artificial-intelligence, data-science, infrastructure, machine-learning, mlops
Our guest this week was Mohan Mahadevan, a senior VP at Onfido, a machine-learning powered identity verification platform. He has previously worked at Amazon heading up a computer vision team working on robotics applications as well as for many years at KLA, a leading semiconductor hardware company. He holds a doctorate in theoretical physics from Colorado State University.
January 13th, 2022 | 43 mins 46 secs
data-science, machine-learning, nlp, open-source
Our guest this week is Ines Montani, co-founder and CEO of Explosion, a company based out of Berlin that produce tools that you probably know and love like Spacy, a Python Natural Language Processing library and Prodigy, a data annotation tool.
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.