Pipeline Conversations
A Machine Learning Podcast by ZenML
About the show
Pipeline Conversations is a fortnightly podcast bringing you interviews and discussion with industry leaders, top technology professionals and others. We discuss the latest developments in machine learning, deep learning, artificial intelligence, with a particular focus on MLOps, or how trained models are used in production.
Pipeline Conversations on social media
Episodes
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ML at the British Library with Daniel van Strien
November 10th, 2022 | Season 2 | 57 mins 28 secs
ai, archives, computer-vision, data-science, libraries, machine-learning
This week I spoke with Daniel van Strien, a digital curator working at the British Library. Daniel has worked on a number of projects at the intersection of archives, libraries and machine learning and I was really happy to have the chance to get to unpack some of the ways he's finding to apply these techniques and tools.
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Questioning MLOps with Lak Lakshmanan
October 27th, 2022 | Season 2 | 53 mins 2 secs
ai, artificial-intelligence, data-science, infrastructure, machine-learning, mlops, scale
This week I spoke with Lak Lakhshmanan, who worked for years at Google on ML and AI projects and products at a senior level and he also brings years of experience working on meteorology and other scientific projects previously.
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The Full Stack with Charles Frye
October 12th, 2022 | Season 2 | 57 mins 5 secs
ai, artificial-intelligence, data-science, deep-learning, education, machine-learning, mlops
This week I spoke with Charles Frye. Not only has Charles volunteered to be a judge on our Month of MLOps competition happening right now, he's part of the core team working on the Full Stack Deep Learning course.
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Educating the next generation with Goku Mohandas
September 29th, 2022 | Season 2 | 1 hr 8 mins
ai, artificial-intelligence, data-science, education, infrastructure, machine-learning, medicine, mlops
In today's conversation, I'm speaking with Goku Mohandas, founder and creator of the amazing online resource MadeWithML. Goku has a bunch of practical experience, from working with Apple to a startup in the oncology space and much more.
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ZenML MLOps Competition
September 26th, 2022 | Season 2 | 8 mins 13 secs
competition, mlops, open-source, zenml
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!
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Data-centric Computer Vision with Eric Landau
September 15th, 2022 | Season 2 | 51 mins 51 secs
annotation, computer-vision, data-centric-ai, engineering, machine-learning
This week I spoke with Eric Landau, co-founder of Encord, a platform for data-centric computer vision. This podcast contains a lot of geekery about annotation, and even though Encord aren't an annotation tool per se, Eric and his team have tackled a bunch of quite complicated problems relating to that domain.
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ML Abstractions with Phil Howes
September 5th, 2022 | Season 2 | 54 mins 13 secs
ai, data-science, infrastructure, machine-learning, mlops, pipelines, platforms, tools
This week we dive into the abstractions that we're all trying to layer on top of the core ML processes and workflows. I spoke with Phil Howes, co-founder and chief scientist at BaseTen. BaseTen is a platform that allows data scientists to go from an initial model to an MVP web app quickly.
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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.
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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.
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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.
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Autonomous Shipping with Captain AI
July 21st, 2022 | Season 2 | 1 hr 22 secs
autonomous, computer-vision, data-centric-ai, edge-ml, machine-learning, shipping, vehicles
This week on the podcast I spoke with Gerard Kruisheer, the CTO and co-founder of Captain AI, a company based in the Netherlands working on autonomous shipping out of the busy Rotterdam port.
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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.
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Edge Computer Vision with Karthik Kannan
June 30th, 2022 | Season 2 | 46 mins 53 secs
computer-vision, data-centric-ai, edge-ml, google-glass, machine-learning
This week I spoke with Karthik Kannan, cofounder and CTO of Envision, a company that builds on top of the Google Glass and using Augmented Reality features of phones to allow visually impaired people to better sense the environment or objects around them.
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Humans in the Loop with Iva Gumnishka
June 23rd, 2022 | Season 2 | 50 mins 55 secs
annotation, data, data-annotation, data-centric-ai, labeling, machine-learning
We were lucky to get to talk to Iva Gumnishka, the founder of Humans in the Loop. They are an organisation that provides data annotation and collection services. Their teams are primarily made up of those who have been affected by conflict and now are asylum seekers or refugees.
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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'.
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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.