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.
This presentation highlights case examples to show the promise of auto-classification approaches, challenges, and critical success factors in fully realizing the benefits. It also features an approach for diagnosing the current state, developing a business case for auto-classification, and developing an implementation roadmap.