Key Indicators of Strong AI Data Quality in Production Systems
AI systems in production demand high data quality to meet performance and compliance standards. Key indicators include consistent annotations across annotators, alignment with real-world use cases, and comprehensive coverage of edge cases and risk scenarios. These ensure stable model behavior and prevent failures.
