Introduction
Waternet is the only water company in the Netherlands that takes care of the entire water cycle.
They supply drinking water in Amsterdam and the surrounding area.
And in the area of Waterschap Amstel Gooi en Vecht they work on strong dikes and clean water.
Customer
Waternet
Tools/Techniques
Azure (DevOps), Bicep, Python
Services
Data Science & AI, ML Engineering
Industry
Utilities
The goal-driven data solution
The Waternet Datalab team aims to execute projects with that are actually implemented.
A robust MLOps workflow is essential for this.
As part of team Datalab, we set up and maintain the MLOps workflow.
Including an MLFlow model registry, CICD templates and the implementation of code and models in production.
For example, we have developed an ML model to minimize nitrous oxide emissions at the water treatment plant.
Now in development is a model to reduce the use of ferric chloride in the pretreatment of river water for drinking water production.
“It feels good to develop and sustain solutions with direct social impact. All of the team’s projects have the focus to go to production, which makes the ML Engineering work extra interesting.”
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