Knowledge Overlap, Iterative Development, and Machine Learning Project Success

Organizations are making massive investments in artificial intelligence technologies such as Machine Learning (ML). Yet, ML project fail often due to high uncertainty. In this research, we conduct a survey to examine how organizations can cope with the high uncertainty of ML projects. The project is a collaboration between the IT University of Copenhagen and the University of Auckland.