‘The Netherlands is a paradise for data scientists.’ At least, if you ask Juan Pablo Aguilar Lopéz of TU Delft. He worked with data in various countries, including the United States, Argentina and Colombina, but never before came across a place where data is stored as extensively and well as here. Certainly from a historical point of view, we have a well-maintained bucket of data in the Netherlands, from which we gain a lot of insights in the field of weather forecasting and water management, but also dike management and water quality.
And that makes the application of AI extra important, because how do you get new insights from this large bucket of data, which help with the major challenges we face in the water sector? Our numerical models are good and accurate, but also labor-intensive and slow. With AI models, you can make predictions faster, but also discover connections that would not have been seen with the naked human eye. And that helps with predictions in the field of water quality, wave overtopping, dike inspections, you name it.
In this podcast, Juan, together with Joost den Bieman of Deltares, tells podcast host Gerrit Heijkoop how AI is transforming hydraulic engineering.
