Label Me Twice, Generate Me Once: The New Discipline of Data-Efficient AI
In enterprise AI, the glamorous part is still the model. Bigger context windows, better agents, faster inference, shinier demos—the usual fireworks display. But for many real deployments, especially in healthcare, legal review, insurance, industrial inspection, and compliance, the real bottleneck is less theatrical: labeled data. Not just data. Labeled data. Not just labeled data. Correct labeled data. ...