One of the most common mistakes in enterprise AI is defining success in terms of model performance metrics rather than business outcomes. A model can achieve 97% accuracy and still fail to deliver value if it is solving the wrong problem.
AI Strategy
Measuring AI Success: Beyond Accuracy Metrics
F1 scores and BLEU scores tell you whether your model works technically. They tell you almost nothing about whether it is delivering business value.
