Data Readiness in AI
How ready is ready enough to move? Most teams sit further along than they think — the useful question is whether the data is good enough for the next decision, not whether it is perfect.
- Setting a practical readiness bar per use case
- Sequencing foundations without stalling delivery
- Ownership: who is accountable for data that feeds a model