Economic Efficiency of Implementing Flexible Artificial Intelligence Systems in the Digitalization of Big Data in the Cryptocurrency Market

Abstract

The rapid development of the cryptocurrency market and the growing volumes of big data necessitate the implementation of flexible artificial intelligence systems in order to enhance the economic efficiency of analytical, forecasting, and risk management processes. Under conditions of high volatility, information asymmetry, and increasing requirements for data processing speed, the use of intelligent algorithms becomes a key determinant of the competitiveness of cryptocurrency market participants. This underscores the scientific and practical relevance of investigating the economic efficiency of applying flexible artificial intelligence systems to the digitalisation of big data in the cryptocurrency market. The purpose of the work is to identify the main determinants of AI flexibility, assess their impact on the processes of price analysis and forecasting in the cryptocurrency segment of financial markets, as well as substantiate the possibilities of integrating such systems into corporate strategies of companies. The subject of the study is the flexibility of artificial intelligence (AI) in the process of processing big data in the cryptocurrency market, which is considered one of the key factors in increasing the efficiency of algorithmic trading and analytical systems in a highly volatile environment. The flexibility of AI is interpreted as its ability to adapt to rapidly changing market conditions, which determines the effectiveness of forecasting and making management decisions. The research methodology is based on the application of comparative and systemic analysis of modern digital technologies, in particular machine learning and neural networks, as well as on modeling forecast scenarios using linear regression and machine learning algorithms. The work takes into account both theoretical developments in the field of financial technologies and practical examples of implementing AI for algorithmic trading in the cryptocurrency market.

The results of the study demonstrate that the flexibility of AI is due to a combination of several factors: the ability of algorithms to automatically update and self-learn; the integration of various types of data sources, including information flows from social media and news resources; ensuring fast interaction between humans and machines, which accelerates the decision-making process; and taking into account cybersecurity aspects that are critically important for the stability of digital platforms. It was found that it is the presence of adaptation mechanisms that allows you to increase the accuracy of forecasts and minimize the risks associated with market volatility.

The scope of application of the results covers the practice of algorithmic trading, the development of analytical systems for forecasting price trends, the formation of corporate strategies in the cryptocurrency market, as well as educational programs in financial technologies and the digital economy. The conclusions obtained can be used by both analysts and traders, and managers of enterprises that integrate innovative digital technologies into their activities.

The conclusions emphasize that the effectiveness of AI in the cryptocurrency market depends on a comprehensive consideration of the determinants of its flexibility, among which the adaptability of algorithms and data protection occupy a leading place. The use of AI not only optimizes forecasting and trading processes, but also opens up new opportunities for business development in the context of digital transformation. The combination of technological innovations with a systemic approach to risk management forms the basis for increasing the competitiveness of companies in the field of financial technologies.