Your first AI POC is live and the outputs are wrong. The model looks fine. The data isn’t.
This is where most AI projects fail, not in the algorithm, not in the infrastructure, and not because the use case was wrong. They fail due to the data feeding the model. We’ve seen it happen across industries, across team sizes, across technology stacks. The pattern is consisten...