CDO Magazine

Generative and agentic AI don’t succeed on a single, monolithic ontology. This panel explores why multiple ontologies, aligned through knowledge graphs, are critical to powering reliable AI and real-world applications. You’ll hear clear, high-level guidance on architecture and adoption — without overwhelming technical detail.

Key takeaways:

• Why multiple ontologies outperform a single ontology for modern AI.

• How knowledge graphs connect ontologies to drive trustworthy outcomes. 

• Practical patterns for aligning business and technical ontologies.

• Governance considerations for explainability and auditability.

• Steps and maturity milestones for teams starting—or scaling—their ontology strategy.