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Should we go back to paper-based KM?
- Source :
-
KM World . Mar/Apr2024, Vol. 33 Issue 2, p4-5. 2p. - Publication Year :
- 2024
-
Abstract
- The article focuses on the reconsideration of paper-based knowledge management (KM), acknowledging past successes and advocating for a more selective approach to data accumulation. Topics discussed include the limitations of digital KM, the need for quality over quantity, and the importance of human oversight in assessing data integrity and relevance.
- Subjects :
- *MACHINE learning
*GENERATIVE artificial intelligence
*BLACK swan theory
Subjects
Details
- Language :
- English
- ISSN :
- 10998284
- Volume :
- 33
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- KM World
- Publication Type :
- Periodical
- Accession number :
- 176288262