Traditional knowledge management systems often followed a hierarchical approach to knowledge curation, where knowledge was systematically created and published, only to become outdated when it reached the end users.
Today's fast-paced and information-rich world demands a more agile approach to knowledge management.
By applying GenAI to knowledge management, many time-consuming tasks, such as creating article summaries, reviewing knowledge gap visualizations, and formatting content in pre-defined templates, etc. can be automated.
Simplifying Knowledge Capture within the Workflow
Ensuring Content Quality with ML-assisted Health Checks
Enriching Context via Federated Retrieval Augmented Generation
Optimizing KM Lifecycle with Knowledge Gaps Visualization
Elizabeth Coleman
Lead Consultant and
KCS Trainer
Catalynk
Brian Corcoran
KCS Certified Practitioner & Cognitive Search Evangelist
SearchUnify