Pipeline Conversations

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.

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.

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.

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.

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.

Trustworthy ML with Kush Varshney

April 14th, 2022  |  39 mins 8 secs

ai, artificial-intelligence, bias, data-science, ethics, fairness, machine-learning

I enthusiastically read Kush Varshney's book when it was released for free to the world several months back. Trustworthy Machine Learning is a concise and clear overview of many of the ways that machine learning can go wrong, and so I was especially keen to get Kush on to talk more about his work and research.

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'.

Neurosymbolic AI with Mohan Mahadevan

January 27th, 2022  |  58 mins 55 secs

ai, artificial-intelligence, data-science, infrastructure, machine-learning, mlops

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.

Creating Tools that Spark Joy with Ines Montani

January 13th, 2022  |  43 mins 46 secs

data-science, machine-learning, nlp, open-source

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.

Monitoring Your Way to ML Production Nirvana with Danny Leybzon

December 16th, 2021  |  40 mins 34 secs

aws, machine-learning, mlops, zenml

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.

Practical MLOps with Noah Gift

December 2nd, 2021  |  47 mins 14 secs

aws, machine-learning, mlops

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.

Introducing ZenML

November 19th, 2021  |  22 mins 18 secs

mlops, zenml

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.