DATASET APPROACH TO THE MANAGEMENT OF KNOWLEDGE AND INFORMATION SYSTEMS IN THE DIGITAL ECONOMY: THE ROLE OF BIG DATA AND AI

This article investigates the processes of knowledge and information systems management from the position of the dataset approach, which focuses on the specifics of the digital economy and the role of Big Data and AI in the processes of labour intellectualisation. According to this, the paper discloses theoretical foundations and features of the key definitions of the research, such as knowledge, knowledge management, and Big Data, and analyses challenges and opportunities that are connected with the possibility of using digital technologies for the collection and processing of data and their usage in management. Special attention is paid to the ability of Big Data and tools of AI to transform non-structured data into a clear information flow or knowledge. The methodological basis of the research is formed by the dataset approach, which determines regularities and principles of work with large arrays of data, and the complex approach, which agrees theoretical concepts of knowledge management and the practical aspects of using digital technologies to raise the effectiveness of information systems of knowledge management. The paper uses the methods of analysis, comparative analysis, synthesis, empirical overview of literature, comparison, observation, and generalisation. The chief value of this work lies in the study of the practical aspects of knowledge management with the use of Big Data and AI, which is based on the identification of the effect of these technologies on the processes of knowledge management, determination of the sequence of operations, and generalisation of the practical experience of such systems' functioning and their characteristics from the position of the ability to ensure deep processing of non-structured and other information.