web01.fireside.fm Thu, 21 May 2026 18:38:36 -0500 Fireside (https://fireside.fm) Pipeline Conversations - Episodes Tagged with β€œZenml” https://podcast.zenml.io/tags/zenml Mon, 26 Sep 2022 14:00:00 +0200 Pipeline Conversations brings you interviews with platform engineers, ML practitioners, and technical leaders building production AI systems. We dig into the real challenges of MLOps and LLMOps: orchestrating complex workflows on Kubernetes, fine-tuning and evaluating models at scale, and shipping AI that actually works. From ZenML. en-us episodic MLOps and LLMOps, from the trenches ZenML GmbH Pipeline Conversations brings you interviews with platform engineers, ML practitioners, and technical leaders building production AI systems. We dig into the real challenges of MLOps and LLMOps: orchestrating complex workflows on Kubernetes, fine-tuning and evaluating models at scale, and shipping AI that actually works. From ZenML. no machine-learning, machinelearning, mlops, deeplearning, ai, artificialintelligence, artificial-intelligence, technology, tech, mlops, llmops ZenML GmbH podcast@zenml.io ZenML MLOps Competition https://podcast.zenml.io/mlops-competition 20b2e352-4565-487d-ad6e-e0f865c75da5 Mon, 26 Sep 2022 14:00:00 +0200 ZenML GmbH full 2 ZenML GmbH So excited to be able to announce our :fire: AMAZING :fire: external judges for the ZenML Month of MLOps competition! We have a stellar panel of :sparkles: ML and MLOps heroes :sparkles: to help select the best pipelines from all of your submissions! 8:13 no <p>So excited to be able to announce our πŸ”₯ AMAZING πŸ”₯ external judges for the ZenML Month of MLOps competition! We have a stellar panel of ✨ ML and MLOps heroes ✨ to help select the best pipelines from all of your submissions! </p> <p>πŸ’₯ Charles Frye, core instructor at the amazing Full Stack Deep Learning course<br> πŸ’₯ Anthony Goldbloom, co-founder and former CEO of Kaggle<br> πŸ’₯ Chip Huyen, author of 'Designing Machine Learning Systems' and co-founder of Claypot AI<br> πŸ’₯ Goku Mohandas, founder of MadeWithML, another essential course in production ML</p> <p>We're honoured to have them on board for the ride, and we can't wait to see all the amazing ML use cases and problems our competitors solve along the way!</p> <p>To learn more about the competition and to sign up, visit <a href="https://zenml.io/competition" target="_blank" rel="nofollow noopener">https://zenml.io/competition</a> </p> zenml, mlops, open-source, competition So excited to be able to announce our πŸ”₯ AMAZING πŸ”₯ external judges for the ZenML Month of MLOps competition! We have a stellar panel of ✨ ML and MLOps heroes ✨ to help select the best pipelines from all of your submissions!

πŸ’₯ Charles Frye, core instructor at the amazing Full Stack Deep Learning course
πŸ’₯ Anthony Goldbloom, co-founder and former CEO of Kaggle
πŸ’₯ Chip Huyen, author of 'Designing Machine Learning Systems' and co-founder of Claypot AI
πŸ’₯ Goku Mohandas, founder of MadeWithML, another essential course in production ML

We're honoured to have them on board for the ride, and we can't wait to see all the amazing ML use cases and problems our competitors solve along the way!

To learn more about the competition and to sign up, visit https://zenml.io/competition

Links:

]]> So excited to be able to announce our πŸ”₯ AMAZING πŸ”₯ external judges for the ZenML Month of MLOps competition! We have a stellar panel of ✨ ML and MLOps heroes ✨ to help select the best pipelines from all of your submissions!

πŸ’₯ Charles Frye, core instructor at the amazing Full Stack Deep Learning course
πŸ’₯ Anthony Goldbloom, co-founder and former CEO of Kaggle
πŸ’₯ Chip Huyen, author of 'Designing Machine Learning Systems' and co-founder of Claypot AI
πŸ’₯ Goku Mohandas, founder of MadeWithML, another essential course in production ML

We're honoured to have them on board for the ride, and we can't wait to see all the amazing ML use cases and problems our competitors solve along the way!

To learn more about the competition and to sign up, visit https://zenml.io/competition

Links:

]]> ZenML Recap with Adam and Hamza https://podcast.zenml.io/zenml-recap-adam-hamza 8ce789d5-23c4-4251-933d-c4797ea40684 Thu, 28 Apr 2022 12:00:00 +0200 ZenML GmbH full ZenML GmbH 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. 25:31 no <p>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. </p> zenml, mlops, open-source 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.

]]> 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.

]]> Monitoring Your Way to ML Production Nirvana with Danny Leybzon https://podcast.zenml.io/ml-monitoring-danny-leybzon d5f677ea-92d0-421a-85e2-918f549ec265 Thu, 16 Dec 2021 16:30:00 +0100 ZenML GmbH full ZenML GmbH 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. 40:34 no <p>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.</p> <p>As such, we had a really interesting discussion of some of the ways that tooling and the general context for data science sometimes lets practitioners down, <br> And of course we also discussed why monitoring and logging is actually a kind of baseline practice that should be part of any and every data scientist's toolkit. Luckily for us, Danny added in a bunch of examples from his wide experience doing all this in the real world. Special Guest: Danny Leybzon.</p> mlops, aws, machine-learning, zenml, industry 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.

As such, we had a really interesting discussion of some of the ways that tooling and the general context for data science sometimes lets practitioners down,
And of course we also discussed why monitoring and logging is actually a kind of baseline practice that should be part of any and every data scientist's toolkit. Luckily for us, Danny added in a bunch of examples from his wide experience doing all this in the real world.

Special Guest: Danny Leybzon.

Links:

]]> 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.

As such, we had a really interesting discussion of some of the ways that tooling and the general context for data science sometimes lets practitioners down,
And of course we also discussed why monitoring and logging is actually a kind of baseline practice that should be part of any and every data scientist's toolkit. Luckily for us, Danny added in a bunch of examples from his wide experience doing all this in the real world.

Special Guest: Danny Leybzon.

Links:

]]> Introducing ZenML https://podcast.zenml.io/introducing-zenml 094212f9-84ef-4cb3-8c2a-87230f3cef0a Fri, 19 Nov 2021 12:00:00 +0100 ZenML GmbH full ZenML GmbH 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. 22:18 no <p>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. </p> zenml, mlops, machine-learning 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.

]]> 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.

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