AI in banking and finance transforms operations, including fraud detection, credit scoring, personalized customer service, and compliance monitoring. Proper data development practices play a crucial role in this highly regulated sector. Data scientists must ensure that AI models deliver accurate, transparent, and secure results. Proper data management and labeling practices help institutions develop models that predict risks, optimize trading, and enhance customer service without compromising compliance.