AI agents can’t just guess what your data means; they need an "ontology" to act as a shared rulebook so they don't make confident, expensive mistakes.

Enterprise AI needs one thing if it’s to get around the limitations of large language models and deliver the results businesses need from their agents. It doesn’t matter if you’re building ...

Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic, and definitions among user groups. A universal semantic layer resolves those ...