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Oracle AI and Analytics

Pawan Gupta Deloitte · 2026-10-25T20:48:02+00:00

* Problem: Business glossaries are flat lists of terms. AI agents need relationships (“a Purchase Requisition becomes a PO, which belongs to a Supplier in a Business Unit”) to reason correctly. * Concept: A graph-based ontology layer in the catalog, pre-seeded from Oracle Fusion entities (supplier, item, ledger, customer,…

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Business Ontology Builder with Fusion-seeded semantics

Pawan Gupta Deloitte

Problem: Business glossaries are flat lists of terms. AI agents need relationships (“a Purchase Requisition becomes a PO, which belongs to a Supplier in a Business Unit”) to reason correctly.
Concept: A graph-based ontology layer in the catalog, pre-seeded from Oracle Fusion entities (supplier, item, ledger, customer, and so on) and extensible per client. It maps concepts to physical columns across Fusion, EBS, and non-Oracle sources, and supports inheritance and validation rules such as SHACL-style constraints.
Why AIDP: Oracle owns the richest ERP semantic model, so a pre-built, Fusion-aware ontology is a differentiator that a generic catalog can’t match.

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