On artifcial versus human intelligence proportion in digital economy applications

In this article the problem of finding the optimal balance in the distribution of functions in a modern enterprise between personnel and the intelligent software components of the systems for decision-making support is considered. The new model of interaction between software agents and decision makers, which is designed to determine the balance between several agents and performers, in order to develop the most effective strategies for the professional development of enterprise employees is proposed. Recommendations are given on optimizing the proportion of natural and artificial intelligence in applied problems, taking into account the influence of the human factor in the context of the active introduction of intelligent technologies under the context of digital economy development. The proposed solution is illustrated by the example of organizing the collection and processing of electricity meter data in a distributed organizational and technical system that implements the functions performed by operators using mobile communication devices and intelligent software based on an artificial neural network.