Pipeline Conversations
A Machine Learning Podcast by ZenML
We found 10 episodes of Pipeline Conversations with the tag “mlops”.
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ZenML Recap with Adam and Hamza
April 28th, 2022 | 25 mins 31 secs
mlops, open-source, zenml
Adam and Hamza return for a short discussion of what we've been busy working on during the previous few months, where we're going with ZenML and why it's so amazing to be building an open-source tool.
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Open-Source MLOps with Matt Squire
March 31st, 2022 | 47 mins 41 secs
ai, artificial-intelligence, data-science, infrastructure, machine-learning, mlops, open-source
This week I spoke with Matt Squire, the CTO and co-founder of Fuzzy Labs, where they help partner organisations think through how best to productionise their machine learning workflows.
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Practical Production ML with Emmanuel Ameisen
March 17th, 2022 | 58 mins
ai, artificial-intelligence, data-science, infrastructure, machine-learning, mlops
This week I spoke with Emmanuel Ameisen, a data scientist and ML engineer currently based at Stripe. Emmanuel also wrote an excellent O'Reilly book called "Building Machine Learning Powered Applications", a book I find myself often returning to for inspiration and that I was pleased to get the chance to reread in preparation for our discussion.
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From Academia to Industry with Johnny Greco
March 3rd, 2022 | 56 mins 34 secs
academia, applied-ml, astronomy, industry, machine-learning, mlops, nlp
This week I spoke with Johnny Greco, a data scientist working at Radiology Partners. Johnny transitioned into his current work from a career as an academic — working in astronomy — where also worked in the open-source space to build a really interesting synthetic image data project.
We get into that project in our conversation but we also discuss his experience of crossing over into industry, the skills that have served him in his new job, and his experience of working in a world where the stakes around models in production are much higher.
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The Modern Data Stack with Tristan Zajonc
February 10th, 2022 | 59 mins 4 secs
ai, artificial-intelligence, data-science, infrastructure, machine-learning, mlops
This week I spoke with Tristan Zajonc, the CEO and cofounder of Continual, a company that provides an AI layer for enterprise companies or, as we'll get into in the podcast, the so-called 'modern data stack'.
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Neurosymbolic AI with Mohan Mahadevan
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.
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Monitoring Your Way to ML Production Nirvana with Danny Leybzon
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.
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Practical MLOps with Noah Gift
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.
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Introducing ZenML
November 19th, 2021 | 22 mins 18 secs
mlops, zenml
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.