Amid the vast sea of insurance data, the power of knowledge graphs lies in their ability to construct and visualize relationships between data points—offering decision-makers more comprehensive and accurate insights. By mining both internal and external knowledge sources—such as disease-drug relationships, corporate affiliations, and policyholder connections—a visualized knowledge graph is created. This enables analysis and reasoning over complex relationships, providing technical support for claims processing, risk control, Q&A systems, and recommendation engines across the group and its subsidiaries.

• Visual analysis dashboards that can be directly embedded into business systems

• Tools for integrating structured, online, and offline data into the knowledge base

• A hybrid solution for real-time query and offline batch processing

• Service management for publishing APIs and H5 (mobile web) applications

• Application in medical insurance claim scenarios