Gartner Research

Automate Knowledge Management With Data Science to Enable the Learning Organization

Published: 16 September 2015

ID: G00272835

Analyst(s): Nikos Drakos

Summary

Despite modest successes, knowledge management has never delivered fully on the promise of the learning organization. Data science techniques can be used to automate knowledge extraction and representation, helping KM program leaders to get closer to that elusive goal.

Table Of Contents
  • Key Challenges

Analysis

  • Understand the Diminishing Returns of Conventional KM, Address Its Challenges, Use It Where Appropriate, But Avoid Going Beyond Its Limits
  • Push KM Beyond Its Conventional Limits Using Data Science Techniques to Automate Knowledge Extraction and Representation

Case Study

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