The Hidden Cost of Ignoring Semantics
KGC 2025
•
22m
Juan Sequeda, data.world, Head of AI Lab
What do enterprises lose by not investing in semantics and knowledge? The ability to reuse data effectively, wasting millions in inefficiencies and missed opportunities. Without a shared understanding of data, even the most advanced AI models struggle to deliver value.
Yet, many practitioners are already doing essential data and knowledge work (i.e. conceptual/ontology modeling, transformation/mapping, governance, etc), it’s just often overlooked and ad-hoc. In this talk, we’ll explore how to transform this work into a strategic asset with practical knowledge engineering steps that make semantics and knowledge a foundational pillar in your organization.
We’ll explore four key areas —people, culture, methodology, and technology— through case studies, including how leading organizations establish incentives, implement methodologies and adopt knowledge graph platforms.
Attendees will leave with an actionable roadmap for making knowledge a strategic asset, transforming ad-hoc efforts into structured investments that drive business impact.
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