Posts tagged "aims"
- Seven steps to a meaning layer
Where to start on a silver layer an AI agent can read: one business area, seven steps in order, and a check you can run at the end of each one.
- What a hub becomes when an agent reads the model
Data Vault and third normal form beside AIMS, construct by construct: where each hub, link and same-as link goes when an agent reads the model.
- Every method stops at the concept
Silver layer modeling methods say which business thing a table is about. Only the costliest says what each column means, and that's where AI answers break.
- Integration by exception
Silver layer integration is the last step, not an entry fee. AIMS adds a shared key and a golden record only when a business requirement needs one.
- What the agent reads
An AI agent's answer is only as good as what it reads, and every platform keeps its semantic layer for AI agents inside its own walls. Write the meaning first.
- You don't need Data Vault anymore
You don't need Data Vault or third normal form in your silver layer. AI reads business meaning from an ontology: the deciding stays, the rebuilding goes.
- Modeling for Machines That Can Read
Once a machine can read a sentence about your business, every benefit Data Vault's tables bought has a cheaper home. That's data modeling for AI.
- The economics of meaning flipped
Stated meaning now costs a sentence, not a table. What an ontology adds to AI accuracy on the benchmarks, and where the AI still has to stop.