"A generic monitoring package for Machine Learning models developed for Rijkswaterstaat"

Introduction

Rijkswaterstaat has been taking care of road and water since 1798. It is the executive organization of the Ministry of Infrastructure and Water Management. They manage and develop the national roads, waterways and waterways and are committed to a sustainable environment. Together with other organizations, they work on a country that is protected from flooding. Where there is sufficient greenery and sufficient clean water. And where you can get from A to B smoothly and safely.

Customer

Rijkswaterstaat

Tools/Techniques

Python, pytorch, tensorflow, Alibi-detect, Pydantic

Services

Data Science & AI - MLOPs

Industry

Government Administration

The goal-driven data solution

Rijkswaterstaat has developed and put into production several AI models. To ensure the quality of the models in production, it is necessary to actively monitor these AI models for aspects such as data and prediction drift. Manual monitoring is not scalable, so a generic monitoring package is needed for drift and outlier detection. We have developed a generic monitoring package for all these models.

“DSL has come up with an inventive solution that we can put to good use.”

Nanine Overgaauw
Cases

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NLP LLM circle

What do you want to do with data?

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