The Dangerous Reliability Gap in AI-Driven Data Engineering

While AI has revolutionized the speed of data pipeline development, a critical adoption gap in automated monitoring threatens the integrity of enterprise data. This imbalance risks flooding business stakeholders with hallucinated insights as teams prioritize creation velocity over quality assurance.