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The intertwining of knowledge management and artificial intelligence is no longer a surprising fact today. However, very few studies deal with the development of a system that is clear in details and at the same time summarising, which proves the theoretical and practical validity of connection points. The aim of the theoretical research is to develop a framework that, starting from the business model, with the help of the synergy of knowledge management (KM) and artificial intelligence (AI), outlines a solution to predict future innovation success, ensuring the feasibility of the strategy with the right managerial decisions. The study briefly touches upon the importance of the strategy, then, based on the development path of KM, presents the close mutual interaction between KM and AI and the AI tools applicable to each step of KM. The research result is a model for predicting successful innovation that, supported by artificial intelligence in the knowledge development step of knowledge management, provides the basis for the right managerial decisions to ensure the achievement of strategic goals. The practical application of the model in the everyday life of companies supports managerial foresight, decisions about innovative investments which influence organisational success.
Andrea Bencsik (Tue,) studied this question.
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