The rise of Large Language Models (LLMs) in financial services has unlocked new possibilities, from real-time credit scoring and automated compliance reporting to fraud detection and risk analysis.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...