The influence of artificial intelligence on managerial decision-making in conditions of uncertainty and rapid changes

The article is devoted to the issues of the influence of artificial intelligence in management decisions. Artificial intelligence allows you to automate many routine management tasks, freeing up time for strategic planning and creative decisions. This is especially important in an environment of rapid change, where speed of response to market challenges is key. Studying the impact of artificial intelligence on management decisions is important because it helps to understand how companies can operate more effectively in the face of uncertainty and rapid change, increasing their efficiency and competitiveness. The purpose of this article is to analyse the role of artificial intelligence in management and its impact on decision-making in languages of uncertainty. The research is based on the use of a number of general theoretical methods, principles and approaches. To achieve the goal and solve the research tasks, the following methods were used: theoretical, in particular generalisation of theoretical data, comparison, synthesis - to determine the role of artificial intelligence in management and its impact on decision-making in languages of uncertainty. It is important to note that changes in the modern business environment are caused by the high dynamism and instability of the external environment. This is due to the current challenges in the country, which intensify competition and encourage companies to use new technologies and business process management tools in order to find the optimal vector of strategic development. It was determined that artificial intelligence is becoming an indispensable tool for making management decisions in the face of uncertainty and rapid change. It allows companies to better understand the market, quickly adapt to new conditions and increase the efficiency of their processes. However, the successful implementation of AI requires consideration of ethical aspects, data quality, and staff training. It is noted that the implementation of AI in management processes under conditions of uncertainty and rapid change can significantly improve the quality of decision-making and increase the competitiveness of the organisation. For successful implementation, it is important to clearly define goals, ensure quality data, select appropriate tools, and train staff. Proper planning, choice of tools, effective data management and, most importantly, staff training are key factors in the successful use of AI in business. It is important not only to invest in the technology, but also in the people who will work with it, providing the right training and support to achieve the maximum result.