WeAreDevelopers LIVE • Mar 25, 2022

The state of MLOps - machine learning in production at enterprise scale

Bas Geerdink

Successful MLOps depends less on vendor tools and more on rigid software engineering. Learn how to transition from isolated notebooks to robust, cross-functional ML pipelines at enterprise scale.

Starting at 22:23 · Watch from the beginning

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Matching moments

5:28 min

Defining MLOps and its role in production systems

Hauke Brammer · World Congress 2023

1:26 min

Transitioning machine learning models from notebooks to production

Kilian Kluge +1 · World Congress 2022

3:46 min

The evolution and fragmentation of enterprise MLOps stacks

Eric Wang

Eric Wang +1 · World Congress 2026 North America

4:19 min

Introduction to DevOps for AI and MLOps

Aarno Aukia · LIVE

2:14 min

Differences between traditional MLOps and GenAIOps

Maxim Salnikov

Maxim Salnikov · World Congress 2025

2:51 min

Moving machine learning models from experimentation to production

Simon Stiebellehner · World Congress 2021

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