Cognitive technologies as a new stage of knowledge management systems in oil and gas industry

Abstract

Cognitive technologies could be the key to rapid improvement of knowledge management effectiveness when applied in oil & gas industry. Classic knowledge management approach requires high level of employee engagement in knowledge management processes, as employees need to have a will to manually discover, capture, classify, share and apply knowledge. Cognitive technologies may lower that requirement as they automate processes of knowledge discovery, capture, classification and sharing; they also improve knowledge applicability by proposing right knowledge taking into account employee context. Authors propose a way in which combination of machine learning, data mining, text analysis and cognitive search could propose a new stage in knowledge management discipline.