Pipeline Conversations

Building MLOps Tools with Outerbounds

August 22nd, 2022  |  Season 2  |  59 mins 43 secs

ai, data-science, infrastructure, machine-learning, mlops, pipelines, tools

This week I spoke with Savin Goyal and Hugo Bowne-Anderson from Outerbounds. They both work on leading, building and helping people put models into production through Metaflow, and I'm sure current users of ZenML will find this conversation interesting to hear how they think through the broader questions and engineering problems involved with MLOps.

Safe and Testable Computer Vision with Lakera

August 4th, 2022  |  Season 2  |  57 mins 32 secs

computer-vision, data, machine-learning, mlops, monitoring, safety, testing

This week I spoke with Mateo Rojas-Carulla, the CTO and a co-founder of Lakera and Matthias Kraft, also a co-founder and the CPO there. Lakera is an AI safety company that does a lot of work in the computer vision domain, building a platform and tools for users to gain more confidence in the output and functionality of their models.

Satellite Vision with Robin Cole

July 28th, 2022  |  Season 2  |  47 mins 56 secs

computer-vision, data-science, deep-learning, mlops, satellite, serverless

This week I spoke with Robin Cole, a senior data scientist at Satellite Vu, a company that's about to launch a thermal imaging satellite into space in order to provide new ways of seeing the earth from above.

ML Monitoring with Emeli Dral

July 7th, 2022  |  Season 2  |  46 mins 57 secs

data, machine-learning, mlops, monitoring

I'll be having some conversations with the people behind the tools that ZenML offers as integrations. We spoke with Ben Wilson a few weeks back, and today I'm pleased to publish this conversation with Emeli Dral, co-founder and CTO of Evidently, an open-source tool tackling the problem of monitoring of models and data for machine learning.

ML Engineering with Ben Wilson

June 8th, 2022  |  Season 2  |  1 hr 4 mins

ai, data-science, infrastructure, machine-learning, mlops, pipelines, tools

Today, I'm extremely excited to present this conversation I had with Ben Wilson who works over at Databricks and who has also just released a new book called 'Machine Learning Engineering in Action'.

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.

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.

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.

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.

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'.