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.
Kurz-CV:
Work experience
2023 – Present CTO Demcon Data Driven Solutions
2010 – 2015 Member core faculty TiasNimbas Business School
1998 – 2023 (Principal) Consultant CQM
Education
1996 – 1998 Eindhoven University of Technology - Applied Mathematics, Doctor of Engineering
1990 – 1996 Tilburg University - Econometrics, Master of Science
