Sebastian argues that the problem isn’t a lack of data. It’s a lack of inquiry.
Most companies use data to optimize what already exists. Few use it to question assumptions, rethink business models, or challenge leadership narratives. That’s the difference between being data-driven and being data-inspired.
We explore:
Why data doesn’t “speak for itself”
How organizations become excellent at staying the same
The dangers of data-resistant minds
Why psychological safety is foundational for real AI success
What “radical data integrity” actually requires
And how to navigate AI’s “jagged frontier,” where human judgment still matters
This isn’t a conversation about tools; it’s about whether your culture is equipped to learn — especially when the evidence is uncomfortable.
Because AI won’t transform your company. It will amplify whatever culture you already have.
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