"Knowledge Management for the Enterprise: New Challenges for AI"

9/25/1998: [time not recorded]
[location not recorded]

Abstract: How does an organization become an expert in its business? The emerging field of knowledge management (KM) addresses this question with processes and technologies that facilitate knowledge capture and reuse. One would think that AI's techniques for developing "knowledge-based systems" would be a major resource for this new field, but so far AI has played a relatively minor role. We think the key to an increased role for AI is for AI tools to incorporate organizational task context more effectively. This talk develops this theme using examples from knowledge management in professional services firms, with a focus on meta-data and taxonomies. Given he scale of taxonomies in enterprise-wide knowledge management systems, challenges include evolution of taxonomies and interfaces between multiple taxonomies. Note: Scient (www.scient.com) is a rapidly growing professional services firm based in San Francisco, with job openings in both professional services and core (internal) services. Our two slots for Knowledge Systems Designers will be of special interest to people with backgrounds in artificial intelligence and/or human computer interaction; see http://www.scient.com/company/jobs/core/k_designer.htm . I'll be happy to discuss opportunities in the afternoon following my talk.

Last updated: Mon Jun 19 17:44:06 2006