As always, the KM World 2017 conference brought together international experts in a range of fields: taxonomies, search engines, knowledge management and SharePoint. This year, however, it also included a new (and highly interesting) section presenting various approaches to developing an under-utilized but richly informative resource: text. The Text Analytics Forum looked at case studies on automatic classification and extracting data from extensive text content in fields like health care and engineering; proposed ways of measuring the quality of automated text analysis results; and debated what distinguishes and connects automated text analytics and AI. Overall, the forum highlighted a fertile ground for initiatives in terms of unlocking the wealth of information contained in the staggering quantities of text-based data.
KM World 2017: fascinating progress in information management
