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Application of cognitive technologies to optimise business processes

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High competition in a market economy gives rise to the top management's desire to continuously search for effective tools to manage the company. Rapidly changing market conditions and competitive environment indicate that business processes must be continuously improved for a company to operate successfully. The key task is to find an answer to the question of how to continuously transform business processes in the company without harming the existing ones in the process of transformation, as well as with minimal involvement of additional resources. In the previous work [1], devoted to the peculiarities of decision-making under uncertainty, the authors concluded that one of the promising directions in this area is the application of knowledge from the field of cognitive science. In recent years, the results of research in this area have found active application in practice: various intelligent systems based on cognitive technologies have been developed, which are aimed at optimising various business processes. Such systems include ERP systems (enterprise resource planning), GIS systems (geographic information systems), business process modelling tools based on company data, risk modelling systems, etc. Companies strive to implement advanced technologies to monitor, control, transform and improve the efficiency of their internal processes, personnel training, but this does not always help them to achieve a more competitive position in the market. The relevance of this study is due to the need to achieve a competitive advantage in market conditions, which requires an in-depth analysis of the cognitive technologies used and an assessment of the effectiveness of their implementation in the activities of a particular company. Thus, we can formulate the object and subject of this study. The object of the study is cognitive and neurotechnologies. The subject of the study - effects from the application of cognitive and neurotechnologies in business processes.

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