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The Role of Data Management in Scaling AI Startups: A Practical Framework

In: Shaping the Digital Future Through Innovation and Practice

Author

Listed:
  • Tilman Friedrich

    (Freie Universität Berlin)

  • Lukas Sanwald

    (Freie Universität Berlin)

  • Isabelle Keutner

    (Freie Universität Berlin)

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.

Suggested Citation

  • Tilman Friedrich & Lukas Sanwald & Isabelle Keutner, 2026. "The Role of Data Management in Scaling AI Startups: A Practical Framework," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Shaping the Digital Future Through Innovation and Practice, pages 321-336, Springer.
    • Handle: RePEc:spr:lnichp:978-3-032-08489-7_22
    DOI: 10.1007/978-3-032-08489-7_22
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