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Humans and AI agents alike need to understand the meaning of the data they're dealing with. Semantics is critically important contextual information that we need to add around our data.
But how do you actually capture and document semantic information, and how can we avoid semantic siloes? Can data modeling help?
In this presentation, I will explore some learnings from real-life use cases and engagements with various organizations trying to build semantics into their data architecture.
Juha is an experienced data professional from Helsinki, Finland. For more than 15 years, he has worked in high-profile data leadership positions across various industries. Since the beginning of 2024, he has been running his own one-man consultancy Datakor Consulting, advising large enterprises on data modeling and data product management at scale. He is also one of the founders of the Helsinki Data Week event and a co-host of the Helsinki Data Mafia podcast. Previously, he was e.g. the Chief Product Officer at Ellie Technologies (a start-up working on a data modeling tool) and the Head of Data Platform at UPM-Kymmene (a forest industry company). His main areas of expertise are data modeling, data product management, and data architecture, and he likes to emphasize understanding real business needs over technological details. Juha writes the Common Sense Data Substack, actively participates in data discussions on LinkedIn, and speaks at various events worldwide.