Data quality is one of the most important pillars of a Semantic Architecture. Unfortunately, too many organizations are unable to (or shouldn’t) trust their data enough to create the information experiences where people learn, make decisions, or connect.
In this session, Gary Carlson breaks the data lifecycle into phases and describes the impact that people, technology, and experiences have on information quality in each phase. Organizations adopting AI will have a clear path to understand the risks and capabilities associated with their data. Practitioners will be able to think through the capabilities and limitations of the data in their organizations with a flexible framework developed in this presentation.
Time: Dec 4, 2025 09:00 AM Pacific Time
Join us live via Zoom here