Jacqueline Li

Organizations have more data than ever — but less confidence to use it. As data estates scale, manual quality checks and compliance rules can't keep up. A stale table feeding a revenue forecast isn't just a data problem, it's a problem feeding critical business decisions. PII in an unmonitored catalog isn't a governance gap, it's compounding compliance risk. In this session, we'll introduce Genie ZeroOps: a background agent that watches your entire data estate so that when issues arise, a proposed fix is already waiting for you. Built on insights from Data Quality Monitoring and Data Classification, ZeroOps detects anomalies and PII across your assets, traces root cause through lineage, and drafts the fix with a validation loop. In a live demo, you'll see a data engineer resolve a broken revenue dashboard in two minutes, and a governance lead close a PII exposure risk with a single confirmed policy. Both get centralized visibility across quality and compliance in the Governance Hub. The agent detects, investigates, and fixes. All you need to do is review and accept. That's ZeroOps.

Learn how Data Profiling, Data Quality Monitoring, and Data Classification come together to provide end-to-end visibility into the health of your data and AI pipelines.