AI and knowledge graphs

An AI system’s answers about your business depend on the context it has. Without that context, it can make incorrect assumptions. Bexamo helps you build knowledge graphs: a structured description of your information, your business concepts, and the relationships between them, usable by both people and AI systems.

What Bexamo shows

How data from different sources connects to your business concepts: what information exists, where it lives, what it means, and how the concepts relate to each other.

Benefits for AI projects

AI solutions can be grounded in your actual information model instead of in assumptions about it. This reduces the risk of answers based on duplicated or misunderstood data. It also makes relevant data sources easier to find and answers easier to trace back to their sources.

Activities in an AI initiative

• Information mapping – identify data, concepts, and relationships.
• Knowledge graph design – model and structure the knowledge.
• AI preparation – connect data sources and validate the information model.
• Maintenance – develop and maintain the knowledge graph over time.