Pipeline Conversations

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.

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.