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Start Over Topic machine learning Publication Year Range This year Publication Type Trade Publications
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1. Should we go back to paper-based KM?

Author

Pelz-Sharpe, Alan

Subjects
*MACHINE learning, *GENERATIVE artificial intelligence, *BLACK swan theory
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.

Published
2024