Webinar: Getting More Value Out of Content with Auto-classification

A KM Webinar

As the volume of content inside organizations grows, it has become increasingly challenging to organize, find, and extract value from enterprise data and information. Search engines have improved, but even the best ones cannot fully understand context or pick out additional topics that would be most relevant. Auto-classification capabilities provide a practical solution to some of these problems—and one that is within reach for most organizations. These tools help extend traditional KM taxonomy into deeper content enrichment and concept relationship modeling in order to provide more accurate search results and help people find and explore related material. When implemented effectively, auto-classification also enables an organization to scale the size and scope of its content repositories in a resource-efficient manner.

During this webinar, Iknow’s Engagement Directors Simon Trussler and Robert Armacost will share case examples to show the promise of auto-classification approaches, the practical challenges to be faced, and critical success factors in fully realizing the benefits. They will also provide attendees with an approach for diagnosing their current state, developing a business case for auto-classification, and developing an implementation roadmap.


  • Date: Thursday, July 19, 2018
  • Time: 10:30 a.m. CDT Check your local time
  • Duration: One Hour
  • Cost: Complimentary