How a scalable intelligence layer turns enterprise data into production A
Enterprises are discovering that a scalable intelligence layer built on knowledge graphs delivers the institutional context that turns generic AI models into reliable production systems.
As companies push AI from pilots into production, a new software layer is emerging to link structured, unstructured and connected data into the neural pathways of a business. Startups are racing to build this foundation, with context-graph specialists such as Jedify Inc. raising fresh capital to give agents the business knowledge they need to operate reliably. The real intelligence stays inside the company, grounded in the relationships across its data, according to Jeevan Pathuri (pictured), vice president of software engineering at Microsoft Corp.
“The real value of intelligence comes from these connections and the relationships between the different distinct data that we’ve got across the enterprise,” Pathuri said. “As we model things in the form of nodes and edges and the relationships, it becomes really easy for these language models to kind of understand and answer questions in a more sophisticated way than your standard answering questions by a SQL query.”
