A generic monitoring package for machine learning models developed for Rijkswaterstaat
Rijkswaterstaat
Data & AI for government
Good decisions start with the right information.
Public authorities face societal challenges that call for choices with a lasting impact. At the same time, laws and regulations are changing, and residents’ expectations are rising. Data and AI help them base decisions on up-to-date information.
Challenges,
A decision made today can affect residents for years to come. At the same time, choices increasingly have to be made using large amounts of information from different sources. This is becoming harder as societal challenges grow more complex and the amount of available information continues to increase. The challenge is to keep a clear overview and make decisions that are both carefully considered and explainable.
How we support you,
We bring together information from different sources so that policymakers and operational teams work from a shared understanding of the facts. We develop solutions that support decision-making and provide insight into the consequences of policy choices. This helps you make better-informed choices and gain more control over societal challenges.
These are just a few examples of what is possible. The right solution always depends on the challenge and the organisation.
Data Science Lab at a glance
DSL in numbers,
40
Data experts
10+
Years of experience
200+
Projects completed
8,7
Client satisfaction
Get in touch with our experts,
Want to know what we can do for your organisation?
Younes Seghrouchni
Managing Consultant GenAI & Data StrategyE-mail info@datasciencelab.nl
Claudia Sulsters
Managing Consultant Data EngineeringE-mail info@datasciencelab.nl
Carmen Wolvius
Managing Consultant Data Science & AIE-mail info@datasciencelab.nl
Where we do that,
Latest blog posts,
Read our latest insights here.
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The organisations that do this,
Frequently asked questions,
AI helps analyse large amounts of information more quickly and reveal patterns that would otherwise be hard to spot. This enables policymakers and operational teams to make better-informed choices. AI does not make decisions; it gives people insights that help them act more carefully and with a fuller understanding of the facts.
Explainability starts not with AI, but with how a solution is designed and used. It must be clear what information was used, how a recommendation was reached and what role AI plays in the process. This keeps decisions open to scrutiny and ensures you can always explain what a choice was based on.
The AI Act sets requirements for AI applications, particularly when they affect citizens or decisions about societal issues. The obligations that apply depend on the type of application and its associated risk. We help organisations determine which rules apply and how to use AI responsibly.
AI delivers value when a solution addresses a specific societal challenge. That might mean better public services, more efficient processes or better-informed decision-making. The focus is not on the technology, but on the outcome for residents, employees and the organisation.
Successful AI takes more than a good model. Employees need to understand how a solution works, be able to trust it and use it easily in their day-to-day work. That is why we focus not only on technology, but also on processes, adoption and how AI is embedded in the organisation.