Part 12/14:
Vun concludes by stressing that the ultimate aim is to deliver relevant and trustworthy AI outputs. Achieving this requires understanding and integrating multiple sources of context—structured data, unstructured data, metadata, and external signals—into a comprehensive knowledge layer.
He advocates for a systematic approach to context modeling, including knowledge graphs, vectors, and rule-based systems, all governed and monitored continuously. This ensures AI models maintain quality, fairness, and alignment with organizational policies.