"When you look at the human brain, there are nerve cells, or neurons, and countless neurons are connected through synapses. The thinking structure of our brain is not arranged in standardized rows and columns. SAP's 'Knowledge Graph' structures these connections between neurons and synapses into a system that enables AI agents to perform tasks intelligently."
Dan Yu, Chief Marketing Officer for SAP Data & Analytics, made the remarks in an interview with The Seoul Economic Daily at the Orange County Convention Center in Orlando on Thursday local time. Yu oversees product strategy for SAP's data-related offerings, including SAP Business Data Cloud (BDC) and SAP Analytics Cloud.
The Knowledge Graph Yu referred to is a new feature SAP launched late last year. The service visualizes a user's business structure as a network-like web. Because it does not organize data into tables or graphics, it is difficult for humans to compare the contents of a knowledge graph at a glance. However, the true value of the Knowledge Graph emerges when used with AI agents. Like the structure of neurons and synapses, it displays all relationships between genuinely related business elements, allowing AI agents to follow these connections to grasp business context and carry out tasks.
"SAP's AI agent 'Joule' performs thousands of different calculations simultaneously," Yu said. "The reason Joule knows exactly what to do based on user instructions is because the Knowledge Graph precisely captures corporate data and represents every connection." Yu emphasized, "The Knowledge Graph is the most critical factor enabling AI agents to plan and simulate tasks."
