Your Enterprise AI Agents Need Trusted Data First

Webinar summary:

Most enterprises are trying to build or deploy AI agents for service, finance, operations, supply chain, analytics and automation. But those agents are only as good as the data they act on.

If the data is duplicated, incomplete, inconsistent, ungoverned or untrusted, AI agents do not create intelligence. They create risk at scale.

In this webinar, CluedIn CEO Tim Ward explains why the next phase of enterprise AI depends on trusted data, not just more agents. He covers the shift from human-to-AI interaction to agent-to-agent workflows, why trust metadata matters, and how governed data operations create the foundation for production AI.

The session also shows how CluedIn AI agents help prepare enterprise data for AI initiatives by improving quality, resolving duplicates, enriching records, classifying data, validating fields, suggesting rules and maintaining trusted master data with governance, lineage, auditability and human oversight.