Abstract
This study examines data management and scaling in AI startups. It uncovers the distinctive scaling dynamics of AI startups, where data emerges as a central resource. Through qualitative research and interviews with 13 AI startups, operational complexities and strategic approaches in data management are unveiled. The research employs a practical Framework of Data Conceptualisation for AI startups, which we developed based on our findings, enriching both scientific understanding and entrepreneurial theory in the AI domain.
Recommended Citation
Keutner, Isabelle; Sanwald, Lukas; and Friedrich, Tilman, "The Role of Data Management in Scaling AI Startups: A Practical Framework" (2024). Wirtschaftsinformatik 2024 Proceedings. 86.
https://aisel.aisnet.org/wi2024/86