Challenges in collecting and manageing data for AI application in small and medium-sized construction enterprises

Abstract: In this paper a case study with a German medium-sized construction company was conducted to demonstrate the current challenges in data collection and management practices. The company described themselves as digital and data-driven and allowed for a holistic data collection process within the company’s databases and documents.Based on the collected data in the company different Artificial Intelligence (AI) methods are applied to predict durations of small earthwork and infrastructure projects. The key result is that the current data availability and quality is not sufficient for the use of AI in construction SMEs.