Old Problems Remain
Old Problems Remain A KM problem eWeek technology Editor Peter Coffee pointed out in a column in 1998 is still with us today. As a product sector, KM is more often a cobbling together of whats in the cupboard rather than a product or group of products offering new ways of managing information based on technology research.This space may become very different as technology research pays off. Developments in linguistic analysis, natural language parsing, personalization, machine learning, autonomous software agents and classification systems have the potential to overhaul the KM industry and significantly raise return-on-IT-investment rates.
We hope to see systems that not only catalog, index and retrieve strings of words but also provide ways for an organization to store data on how it operates, to analyze that knowledge and to refine it to develop into better ways of working.