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. A data ontology starts with a simple but powerful ...

The blockchain analysis company published a proposed ontology for how investigators can identify clusters of crypto addresses ...

Genie Ontology aims to unify business definitions across systems, but analysts say data quality and governance will make or ...

Enterprises are investing billions of dollars in AI agents and infrastructure to transform business processes. However, we are seeing limited success in real-world applications, often due to the ...

Ontology-based query answering and data integration is a research field that combines formal knowledge representation with database technologies to enable unified access to heterogeneous, distributed ...

There is good reason for the Web3 community to focus on the promise of a blockchain-protected, decentralized identity. We spoke with Humpty Calderon, head of community at Ontology, to learn more. From ...

This chapter summarizes the outcomes of the literature review, surveys, and in-depth interviews, as well as the case studies and methodology for ontology development. The literature review focused on ...

Databricks enhances its AI platform with the AI agent Genie One, which is intended to make company data usable thanks to the ...