Data before models
Lineage, quality and ownership: why AI programmes in banks stall long before the model matters.
What this series covers
Who it’s for
Data, risk and technology leaders in banks and financial institutions who are asked for an AI strategy while the data foundations are still being fixed.
Questions it asks
- Can we trace this model input back to its source, today?
- Who owns this data set, and would they sign off its use in AI?
- Which open data remediation items block our AI use cases?
One essay a month. Each arrives the day it is published.