ML in production chapter

The ML in Production Chapter is the ML6 special division on all things related to running ML models in a production environment.

The ML in Production chapter focuses on how to deploy machine learning models into a production environment. This includes technical areas such as model serving and automation, but also focuses heavily on best practices for ML development such as MLOps.

Explore

Every day new approaches and new tools are released regarding ML in production. We do constant research on these and keep our way of working up to date with the best tooling on the market.


Read more

Build

We build ML powered applications. Our chapter consists of multidisciplinary people to cover all phases of an ML project. 


Read more

Share

We share knowledge with the rest of the delivery organization to make sure our implementation projects are according to best practices for putting ML in production.

Read more
OUR technologies

Case studies

Domains

Demos

Blogposts

Experts

Victor Sonck
Senior Machine Learning Engineer
Ghent
Jeffrey Hagen
Squad Lead
Amsterdam
Rebekka Moyson
ML in production Chapter Lead
Ghent
Ward Van Driesche
Machine Learning Engineer
Ghent
Laurens Weijs
Data Engineer
Amsterdam

Interns

No items found.
Let’s get started
get in touch
All rights are reserved, Copyright 2021
Privacy Policy