In an editorial piece on the ARC Advisory Group website, Director of Research Marianne D’Aquila asks, “Why do artificial intelligence implementations fail?” She answers by saying that “implementing AI in manufacturing can be challenging, if not daunting, as it requires an understanding of business objectives and the integration of AI with existing processes and systems.”
D’Aquila goes on to include that “it is typically overwhelming to determine an effective starting point for any digital transformation project, including implementing AI.” She says that without clear ideas on how to develop strong analytical digital competencies, companies often experience the collapse of AI pilots and projects, leading to the internal perception that these projects are a wasted investment.1