The State of Data Quality
Webinar Speaker: TBD
Date: Monday, March 9, 2026
Time: 9:00 a.m. PT / 12:00 p.m. ET
As organizations move to embrace generative and agentic AI, data quality continues to be a key requirement. These systems cannot perform reliably on data that is inconsistent, poorly understood, inaccurate, or incomplete. Poor data quality can lead to degraded model performance, avoidable rework, and increased operational risk.
TDWI research continues to show that data quality is one of the most persistent challenges organizations face in building trusted AI. The problem is most visible with unstructured data, which many organizations still trust less than structured sources. That caution is warranted: enterprises are only beginning to integrate unstructured data in the form of documents into generative AI applications, and the associated processes, metadata, and controls are far less mature.
The State of Data Quality webinar will outline what it takes to achieve sound data quality for modern AI demands. This includes the organizational structures, skills, and governance models required to manage data quality at scale, as well as the technical underpinnings such as pipelines, architectures, and tooling that enable safe, effective AI deployment.
Date: March 9, 2026
Time: 9:00 am PT