Ruud van Cruchten

Questions about data and AI always touch several disciplines, from strategy and operations to architecture, data quality, technology and societal impact. I bring those perspectives together. As an advisor, I hold the conversation with the board and management. As a data scientist and architect, I design and deliver the solution myself. That makes my advice strategically grounded and feasible.

I built that combination over more than ten years of practice. In that time the field evolved from static reports via dynamic dashboards to machine learning and AI agents. At the consultancy firm Ponthus I grew to senior consultant and worked for organisations across a wide range of sectors. Within PWCo, Ponthus's joint venture for housing associations, I led the content of data and BI programmes and developed a data platform for the sector. At grid operator Enexis I worked as data architect and data scientist on asset management, in the middle of a profound transformation.

What drives me is curiosity. During my PhD research on process mining and data quality I learned to bring complex matters back to their core, quickly and systematically. I deliberately keep my knowledge of AI current, among other things through the data scientist programme at EAISI Academy of Eindhoven University of Technology. As an independent advisor I choose independence, without commercial interests and with integrity as a given. I am glad to work for organisations with a social purpose.