In this episode, Katrin Botzen, Corporate Director of Global Data and Analytics at Henkel, shares how the company applies AI across R&D, supply chain, and finance to solve real business problems.

The discussion explores:

🔷Why starting with business problems is critical for AI success

🔷How fragmented data limits decision-making

🔷The role of data architecture and governance in scaling AI

🔷Real-world use cases, from R&D optimization to finance insights

In conversation with Julian Schirmer of OAO.

This episode offers a grounded view of enterprise AI, focusing on execution, not just ambition.