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Public course
Enterprise AI — Course 6: Preparing Enterprise Data and Knowledge
A practical framework for selecting, extracting, tracing and maintaining enterprise data and knowledge for bounded AI use.
enterprise dataknowledgesourcesextractionprovenancepermissionslifecyclereadiness
By Telari Labs
Learning on Telari
Created by Telari Labs, delivered through Telari
The course creator controls the material and assessment standards. Telari provides structured lessons, practice, feedback against those standards and a record of your progress. See how Telari works.
AI access
The first managed lesson is included on Free. Continue with Plus or your own supported API key; premium assessments and certificates may require Plus.
Audio
No reviewed lesson audio is currently advertised for this course.
Lesson list
- Choosing sources and ownersThis lesson examines source relevance, authority, ownership and justified admission to a bounded collection.
- Preserving meaning during extractionThis lesson examines how extraction can change meaning and how targeted checks support correction or bounded exclusion.
- Provenance and applicable versionsThis lesson distinguishes dates and identities, selects applicable editions and traces derived records to their origins.
- Quality, missingness and remediationThis lesson examines source defects, ambiguous blanks, legitimate repetition and proportionate repair priorities.
- Permissions through derived recordsThis lesson traces restrictions through copies and distinguishes permission information from evidence of enforcement.
- Updates and deletion propagationThis lesson follows content, permission and deletion events through derived records and checks the resulting service state.
- Making a readiness decisionThis lesson combines source evidence into a useful pilot scope and explicit conditions for admission or expansion.
- Deciding whether enterprise data is readyThe final assessment combines source authority, extraction, provenance, quality, permissions, lifecycle handling and bounded readiness decisions.