Deutsche Telekom AG (DTAG) revolutionises the planning process of fibre networks (FTTH) to
* increase number of connected households and industries dramatically, and
* shorten the time to market in general.

For this goal DTAG, advanced geoprocessing algorithms including artificial intelligence (AI) automate the conversion of surface information into cost optimised potential trenches used in the fibre build process. The surface information is gathered by terrestrial laser scanners and photos as well as extracted through a complex analysis from aerial orthophotos. This surface information then is used in conjunction with other (open) data as an input for the provisioning of potential trenches needed for FTTH. The processing of these orthophotos as well as the calculation of trenches are handled by the open source actinia cloud geoprocessing engine. Actinia is a new OSGeo community project, offering a REST API to GRASS GIS. The actinia processes are scaled and implemented as a service in the Open Telekom Cloud.

In this talk, we present the handling of large and complex input data in the FTTH-process. Focus is on the usage of actinia, and how actinia supports a core process of the largest German telecommunication provider.