ON-DEMAND
Agentic Workflows in Data Catalog:
Beyond “Talk to Your Data”
With:
About the Session
As data complexity and AI adoption surge, manual catalog annotation and tagging are no longer sustainable. This session discusses how to make a data catalog intelligent by using agents in automation to help annotate and tag data assets at scale. We’ll talk about use cases that can be automated with agents and potential future applications. We’ll also detail guardrails, human-in-the-loop approvals, policy constraints, audit trails, and feedback loops that keep automation trustworthy and aligned to governance objectives.
Key Takeaways:
- Using Generative AI methods to help improve metadata like documentation, annotation, and classification
- Agents to identify anomalies in data and help author data quality contracts and rules
- Catalog metadata automation: retention recommendations, access reviews, and approval workflow automation
- Feedback loops and guardrails to monitor and improve the quality of recommendations
Speakers
Apple
Apple
