In the modern world, neural networks play an increasingly important role in various fields, including marketing. The use of neural networks allows solving complex problems related to the analysis of large amounts of data, predicting consumer behavior and personalizing marketing messages. This work is aimed at the theoretical study of the impact of neural networks on solving marketing and communication tasks in modern business. It is conducted within the framework of a sociological approach, using theoretical analysis and synthesis, as well as methods of deduction and induction for hypothesis formation and testing. Data is collected from several sources, including scientific articles, research agency reports, industry association data, and statistical data. The study includes a review of existing literature to determine the current state of knowledge about the impact of neural networks on marketing and communications in business. Then, a data analysis is conducted to identify key trends and patterns. Based on this data, hypotheses are formulated. Based on the results of the research, conclusions are made about the impact of neural networks on solving marketing and communication tasks in modern business. These conclusions can be used for the development of strategies and recommendations for business.