Abstract
The broad digitalization of the company's activities is focused on solving complex tasks of monitoring and managing production and socioeconomic systems. The functioning of such systems takes place in conditions of significant uncertainty of information, active and unpredictable influence of the external environment, dynamism of situations.Therefore, for the effective implementation of digitalization systems, special methodologies, technologies and systems focused on such situations are required. First of all, this concerns methods and means of obtaining measurement information. The article discusses a new direction of modern measurement theory, which has been called intelligent measurements. A comparison of classical and intellectual measurement methodologies is given. It is shown that classical measurements are a special case of intelligent measurements. The advantages of using this type of measurement are indicated both for the theory and practice of measurements, and for solving problems of artificial intelligence. Examples of the use of Bayesian measurement methodology, technology and practice for solving various applied problems are given.
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