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Understanding Incidents

Safety is the top most priority at every organization in oil and gas industry. While everyone is getting better at counting the incidents and categorizing them for reporting, analyzing and understanding the root cause of an incident is a labour intensive activity. In this use case we demonstrate how machine learning could be used to extract meaning from the plain text and enrich your incident data with external factors (i.e. weather, training) to better understand and improve safety at your organization.