Data Quality Quietly Decides AI Project Success

A retail client's demand-forecasting model appeared impressive on the surface, with clean charts and confident predictions, but the experience highlighted a broader truth: data quality is the unglamorous discipline quietly determining which AI projects succeed and which fail. No matter how sophisticated the model, its output is only as reliable as the data feeding it.