What should an actual knowledge institution look like?
Volumes I to III stayed deliberately technology-neutral. Volume IV provides reference architectures that an organization can instantiate, tailor, assess and govern.
Inside
- Institutional and governance reference architectures
- Knowledge Institution (KIRA) and Evidence and Verification (EVRA)
- Artificial Intelligence Institution (AIIRA) and Capability (CARA)
- Development (DERA), Operational (ORA) and Repository (RERA)
- Enterprise Integration (EIRA), architecture integration and architecture certification
All are written to be implementation-, vendor-, AI-model- and platform-neutral. "Certification" here is an internal process described in the book, not an external credential offered by the author or publisher.
Who it is for
Architects and implementers, and readers of the earlier volumes who want the whole picture assembled.
Written and directed by Oscar M. Flores in collaboration with AI systems that assisted with analysis, drafting, and editing. Volume IV of the Developmental Knowledge Engineering series. This book presents a developed theory. It is not legal, regulatory, compliance, audit, or other professional advice, and it has not been established through formal academic peer review.
