A recent webinar titled "Semantics in Data Architecture - Real Life Learnings" explores how organizations can leverage semantic models—such as glossaries, taxonomies, and ontologies—to improve data governance and enable AI-ready data products.
The presentation covers why semantics matter now, driven by the need for clear data meaning in AI and analytics. It distinguishes between conceptual, logical, and physical data modeling, and emphasizes capturing enterprise semantics through conceptual models. A key architectural concept introduced is the separation of a "knowledge plane" (for business meaning) from a "data plane" (for technical storage), often realized through knowledge graphs.
The webinar also discusses practical implementation, including semantic architecture, governance, and the role of ontologies in data products. The recording is available on YouTube, with free slides offered for download.