Abstract:
Chances are you are sitting on a gold mine. Every successfully completed project is the refined product of the collective experience and engineering judgement of your firm's most valuable asset: its (highly skilled) employees. Often times, project files are put aside and archived, never to be seen again. But what if these files were instead properly stored in a format that can be easily queried (i.e. a custom database) and intelligently assist in future designs? Your old files along with Machine Learning (ML) can be used to identify and quantify risk while reducing uncertainties and improving upon the deep foundation design methods of your choice. Design validation with fewer load tests, lower yet more reliable safety factors, optimized designs for projects with a high pile count: these are only a few examples on how you can put your archived projects to work. No, ML will not replace any geoprofessionals. Instead, those who choose to adopt ML will certainly gain a significantcompetitive advantage. After all, data is the modern currency. How are you using yours?