Neuro forecasting of the AI-insurance companies performance in the context of digitalization of the economy in Russia (original) (raw)

IV International Scientific and Practical Conference, 2021

Abstract

The article analyzes the state of the Russian insurance market and considers its development trends. An algorithm for forecasting the net profit of insurance companies using the AI system “Kohonen map” has been proposed. A hypothesis that an AI system enables forecasting of the net profit of a Russian insurance company was proposed and proved. This determines the relevance and practical significance of this study in the context of the digitalization of the economy. In developing a neural network model, performance indicators of the domestic “Top-10 insurance companies” were applied. The analysis showed that the growth was weaker than a year earlier, when the non-life market grew by 8.4%. One of the leaders 2019 was the voluntary health insurance (VHI) that showed an increase of +28.8 billion RUB due to the de-mand for full packaged products, new VHI options in consumer life insurance policies, annual inflation of medical services, and accident and illness insurance that ensured an increase of +17.8 billion RUB that year. The current state of the Russian insurance market and its development trends in the context of digitalization of business processes has been analyzed. There has been developed a mathematical model based on the Kohonen map neural network that makes it possible to forecast the company's net profit based on Data Mining processing. The study of the theoretical foundations of the ap-plication of artificial learning systems in order to solve the problems of the in-surance market in the context of the digitalization of the economy, market un-certainty is very important.

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