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Explore how to implement intelligent, automated quality monitoring for data and AI systems using Unity Catalog's data intelligence capabilities in this 37-minute conference talk from Databricks. Learn to move beyond basic data checks by discovering how Lakehouse Monitoring, anomaly detection, data classification, and Lakeflow integrate to provide comprehensive visibility into data and AI pipeline health. Understand how to transition from reactive problem-solving to proactive, scalable quality monitoring across your entire data estate, ensuring trusted, high-impact data and AI delivery. Gain insights into leveraging Unity Catalog's governance features to maintain compliance and quality standards at enterprise scale, with practical guidance on implementing end-to-end monitoring solutions for modern data architectures.
