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The latest news, opinions and technical guides from ZenML.

Podcast: Trustworthy ML with Kush Varshney

April 14, 2022 - Alex Strick van Linschoten


This week I spoke with Kush Varshney, author of 'Trustworthy Machine Learning', a fantastic guide and overview of all of the different ways machine learning can go wrong and an optimistic take on how to think about addressing those issues.

Podcast: Open-Source MLOps with Matt Squire

March 31, 2022 - Alex Strick van Linschoten


This week I spoke with Matt Squire, the CTO and co-founder of Fuzzy Labs, where they help partner organizations think through how best to productionise their machine learning workflows.

Podcast: Practical Production ML with Emmanuel Ameisen

March 18, 2022 - Alex Strick van Linschoten


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.

Podcast: From Academia to Industry with Johnny Greco

March 3, 2022 - Alex Strick van Linschoten


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.

Podcast: The Modern Data Stack with Tristan Zajonc

February 10, 2022 - Alex Strick van Linschoten


Tristan and Alex discuss where machine learning and AI are headed in terms of the tooling landscape. Tristan outlined a vision of a higher abstraction level, something he's working on making a reality as CEO at Continual.

Podcast: Neurosymbolic AI with Mohan Mahadevan

January 27, 2022 - Alex Strick van Linschoten


Mohan and Alex discuss neurosymbolic AI and the implications of a shift towards that as a core paradigm for production AI systems. In particular, we discuss the practical consequences of such a shift, both in terms of team composition as well as infrastructure requirements.

Podcast: Monitoring Your Way to ML Production Nirvana with Danny Leybzon

December 16, 2021 - Alex Strick van Linschoten


We discuss how to monitor models in production, and how it helps you in the long-run.

Podcast: Practical MLOps with Noah Gift

December 2, 2021 - Alex Strick van Linschoten


We discuss the role of MLOps in an organization, some deployment war stories from his career as well as what he considers to be 'best practices' in production machine learning.

Pipeline Conversations: Our New Podcast

November 19, 2021 - Adam Probst


We launched a podcast to have conversations with people working to productionize their machine learning models and to learn from their experience.

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