Marnix Zoutenbier

CTO | Demcon Data Driven Solutions

Synthetic Data in Artificial Intelligence optimization

The availability of data is one of the limiting factors in algorithm development.
And if data is not a bottleneck, bias in datasets causes bias in algorithms which is often not acceptable. Starting from physical principles and combining these with Hollywood animation-software it is possible to generate synthetically fully annotated sensor images for every object in every environment.
This solves the problem of availability as well as the problem of bias in datasets and algorithms trained on them. We will give examples of various applications of algorithm development with and without synthetic data in Life Sciences & Health and High Tech.



Work experience

2023 – Present  CTO Demcon Data Driven Solutions

2010 – 2015        Member core faculty TiasNimbas Business School

1998 – 2023       (Principal) Consultant CQM  


1996 – 1998       Eindhoven University of Technology - Applied Mathematics, Doctor of Engineering

1990 – 1996       Tilburg University - Econometrics, Master of Science


Besuchen Sie uns am 17.04.2024 um 9:00 Uhr


IHK Nord Westfalen Digital Hub Münsterland IT-Forum Ooost AHK