Future Trends in Data Annotation for Fraud Detection
Future Trends in Data Annotation for Fraud Detection
Explores emerging trends such as active learning, automated labeling tools, and hybrid human-AI annotation workflows. It discusses how these advancements will improve accuracy and reduce labeling costs. Perfect for readers interested in next-gen data preparation strategies.