AI agents need to understand how businesses work. Graphify’s rise shows why ontologies and knowledge graphs matter for the agentic enterprise and economy.

Modern factories are drowning in data but starving for knowledge. Sensors, maintenance logs, manuals, and fault reports pile ...

The initial surge of excitement and apprehension surrounding ChatGPT is waning. The problem is, where does that leave the enterprise? Is this a passing trend that can safely be ignored or a powerful ...

Knowledge is not static. Political alliances shift, trade relationships form and dissolve, and the actors on the world stage ...

Knowledge Management has promised to make it easier to find institutional knowledge for decades with mixed results.

AI, natural language processing and semantic search applications are a driving force behind emerging data management operations. Data teams can use knowledge graphs in conjunction with these tools to ...

This article is a copy of the article posted on June 1, 2026. Many consultations about wanting to build a knowledge graph are actually about wanting to see data connected by lines.I think the ...

"I updated the internal regulations in the RAG (Retrieval-Augmented Generation) system, but the LLM confidently answers with ...

Most AI tools are remarkably good at solving individual problems, but without the ability to share information, their ...

Work management vendor Asana has been expanding its work graph to better frame up the context AI agents need to work within enterprise teams. Dan Rogers speaks at Asana's London event Perhaps the ...