According to Andrew Ng, it is important to find places where high performing machines may be labeling differently. Tjos challenge in maintaining consistency in data can be systematically improved by assigning more than one good labeler to a project and focusing on the areas where proficient labeling algorithms provide correct results that are correct but not the same.