How Audi Scales Artificial Intelligence in Manufacturing

Authors

André Sagodi
Benjamin van Giffen
Johannes Schniertshauer
Klemens Niehues
Jan vom Brocke

Abstract

For organizations to realize maximum value from artificial intelligence (AI), they need the capability to scale it and must consider scaling throughout all stages of an AI innovation project. But AI scaling presents significant challenges, especially for manufacturing companies. We describe how Audi, a leading automotive manufacturer, scaled its crack detection AI solution and unlocked long-term business value in manufacturing. Based on lessons learned at Audi, we provide recommendations and actions for CIOs and senior leaders who seek to capture value through scaling AI solutions.

Recommended Citation

Sagodi, André; van Giffen, Benjamin; Schniertshauer, Johannes; Niehues, Klemens; and vom Brocke, Jan (2024) "How Audi Scales Artificial Intelligence in Manufacturing," MIS Quarterly Executive: Vol. 23: Iss. 2, Article 5.
Available at: https://aisel.aisnet.org/misqe/vol23/iss2/5