AI is only as useful as the context behind the data
One of the strongest themes in the SAP and Snowflake announcement is semantically rich data. That phrase matters because enterprise AI is not just about having data. It is about having data with business meaning attached to it.
What semantic richness means in practice
It means data is connected to business processes, entities, relationships, and definitions that make it more interpretable and more trustworthy inside real organizations.
Why this matters for AI
- Better grounding for AI agents
- More relevant outputs from applications
- Improved governance and trust
- Less risk of building on misunderstood data
Strategic takeaway
Raw data may be plentiful. Useful enterprise AI requires context, structure, and meaning. That is why semantically rich data is becoming central to the enterprise AI conversation.