3D technology allows actuaries to visualize complex claims and mortality data. Instead of flat tables, volumetric models are built that represent the frequency and severity of events. For example, a 3D map of a seismic zone can show the probability of building collapse, integrating variables such as height and materials. This facilitates the calculation of insurance premiums with greater spatial precision. It is a complement, not a replacement, for traditional statistical models.
Essential tools for 3D actuarial simulation 🛠️
To start, parametric modeling software like Rhinoceros 3D or Grasshopper is needed, allowing numerical data to be linked to geometries. An actuary can use Python with libraries such as PyMesh or Blender to generate risk surfaces. Programs like Tableau or Power BI offer 3D visualization of actuarial dashboards. The typical workflow involves exporting data from R or SAS, processing it in a 3D engine, and generating volumetric heat maps. The hardware requires a GPU with at least 4 GB of VRAM.
The day the actuary ordered a 3D printer for the office 😂
Imagine the actuary 3D printing a mortality pyramid to show the boss. The boss mistakes it for a paperweight and asks for one for every desk. Then, the actuary models a claims chart in the shape of a donut and prints it. The result: a plastic donut that no one eats and a meeting where they argue whether the red color indicates losses or just poor filament calibration. In the end, the 3D printer ends up in the corner, next to the 1985 calculator.