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Tuesday September 15, 2026 11:00am - 11:45am EDT
Organizations are under pressure to anticipate the next layer of the technology stack while still making sense of the systems they already run. In AI programs, that challenge often becomes more difficult when metadata, taxonomies and ontologies are treated as optional documentation rather than core foundations. This session explains why these structures provide the scaffolding and guardrails AI systems need to produce useful, reliable and context-aware outputs.

The session will cover the foundational layers of AI implementation, where they sit within enterprise ecosystems and how they interact with existing data, content and application environments. It will examine different types of metadata, the role of taxonomies in organizing meaning and the value of ontologies in representing concepts, relationships and business context.

Attendees will also learn why AI does not remove the need for metadata discipline. Instead, well-managed semantic foundations help guide AI, reduce ambiguity and improve retrieval, classification and reasoning. The session will close with practical guidance on keeping these guardrails current as business language, systems and AI use cases evolve.
Speakers
avatar for Yonah Levenson

Yonah Levenson

DAM Academic Director / Adjunct, Rutgers University
Metadata and Taxonomy Strategy. DAM Digital Asset Management Professional. Standards SME. Media and entertainment, publishing, advertising and more
Tuesday September 15, 2026 11:00am - 11:45am EDT
Reston Track 3 Hyatt Regency Reston, VA

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