How Daimler Trucks North America built a living knowledge graph of its business

A graph-based representation of everything happening on its internal network has enabled business users at Daimler Trucks North America (DTNA) to extract not just data, but knowledge.

According to AI Strategy and Architect Conor O'Shea, business leaders at the Portland, Oregon-headquartered company can now ask the company's new 'DTNA Chat' chatbot questions like, 'Analyze our recent warranty claims, correlate them with all available datasets, and tell me why they've increased.'

The underlying principle: AI and graphs surface the inner truth of the business by revealing how everything is related, creating a model that can reason and act effectively.

Key to that capability, O'Shea adds, is the power to represent DTNA activities over time and across all its data and processes.

Specific benefits of using Neo4j as the graph foundation include the ability to ask the system how customers are likely to respond to any proposed component ...