What problem are you trying to solve with data context?
When exploring semantics, ontologies, knowledge graphs, and context layers, it’s easy to get caught up in definitions and vendor terminology.
EMA’s Herb Blecher argues for a more useful starting point: focus on the problem, not the product category.
From inconsistent data meanings to fragmented estates and AI agents, the right architecture depends on your data environment, maturity, and goals.
Read this blog for practical guidance on where semantics, governance, federation, and context actually fit, and where you may not need another tool.
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