Vital records systems handle large, sensitive datasets that require ongoing quality control. This session introduces the VitalData Agent — an agentic AI prototype built on SAS Viya — designed to automate critical QC tasks for birth data. Combining machine learning with human review, the agent supports three key functions: Schema validation (detecting changes in variable structure) Missing value detection (flagging incomplete records and trend anomalies by county or week) Trend monitoring (identifying unusual data shifts) You’ll also learn about the long-term roadmap.
Discover how AI is poised to transform public health data in this compelling talk by Utah’s Director of Data, Yanling Xi. She reveals a forward-looking vision—“Vital Agent”—that blends automation and human oversight to tackle complex data quality challenges. Along the way, she unpacks the real-world hurdles of enterprise AI and shows how SAS Viya CoPilot is already turning natural language into powerful, interactive dashboards. If you’re curious about where AI meets analytics, governance, and real impact—this is a must-watch.
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