Data Readiness for AI Projects
A practical readiness test for sources, permissions, quality, ownership, representativeness, and change management.
A practical readiness test for sources, permissions, quality, ownership, representativeness, and change management.
A decision framework for choosing the simplest AI approach that can meet the workflow requirement.
How to create a small fixed test set that exposes normal cases, ambiguity, failure, and business consequences before a pilot.