The role of artificial intelligence technologies in the implementation of People-Finder knowledge management systems

Abstract

The development of knowledge management systems (KMS) demands that knowledge be obtained, shared and regulated by individuals and knowledge-sharing organizational systems, such as knowledge repositories. People-Finder systems, a type of knowledge repository, attempt to manage knowledge by pointing to experts possessing specific knowledge within an organization. Details about such systems implemented at several organizations such as Hewlett–Packard, National Security Agency and Microsoft are presented. Insights, challenges and future development plans gained through the development of a People-Finder are discussed. Finally, concluding remarks about the role of artificial intelligence in the development of People-Finder KMS and automating the process of profile maintenance are discussed.