Pipeline Conversations

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. Matt and FuzzyLabs are also behind the Awesome Open Source MLOps GitHub repo where you can find all the options for an open-source MLOps stack of your dreams. Matt has been an enthusiastic early supporter of the w...

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. Emmanuel has previously worked at Insight Data Scienc...

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...

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'. He previously worked at Cloudera as a CTO for machine learning and as the head of the data science platform there, and he holds a PhD in public policy from Harvard University. In our conver...

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. Mohan had mentioned tha...

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. I've always found Ines to be personally inspiring in the work that she and her team produce as well as how they present themselves to the world, so it was...

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 conte...

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. Read the summary blogpost on the ZenML blog. Special Guest: Noah Gift.

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.