The traditional approach to segmentation is highly iterative with a great deal of manual evaluation of competing segmentation solutions. An analyst may estimate dozens of competing segmentation solutions and each needs evaluation on statistical and interpretative considerations. We will illustrate how we create scoring rules and leverage AI to provide guidance on a more efficient process for both development and evaluation of segmentation solutions.
