HOW ARTIFICIAL INTELLIGENCE (AI) IS TRANSFORMING MARKETING

Artificial intelligence (AI) is fundamentally changing approaches to marketing, providing businesses with innovative opportunities for deeper interaction with the audience, increasing the effectiveness of decisions and automating routine processes. The key aspects of the impact of AI on marketing are considered, as well as its role in building new customer interaction strategies that are becoming more personalized, consumer-oriented and based on data analysis. Special attention is paid to the prospects for the development of AI in marketing and the potential challenges that companies may face when implementing these technologies. Leveraging machine learning technologies, big data processing, and neural networks, companies can optimize their marketing strategies across various levels. This allows brands to provide customers with personalized offers, increasing consumer engagement and loyalty, which is especially important in a highly competitive environment. One of the brightest opportunities for using AI in marketing is the introduction of chatbots, which have become a popular tool for communicating with customers. Combined with sentiment analytics, chatbots help better understand the emotional state of users, allowing businesses to improve service and improve the customer experience. Particular attention is paid to the challenges that arise during the integration of AI into business: ethical aspects, transparency of algorithms, data privacy issues and the need to adapt the workforce. Companies are compelled to strike a balance between the capabilities of artificial intelligence and the protection of consumer rights to maintain their trust. It is noted that the use of AI in marketing strategies remains insufficiently researched, which determines the relevance of further research in this area. The article also focuses on unresolved issues such as ethics, interaction between humans and AI, as well as the development of effective techniques for integrating technology into various aspects of business activities. The conclusions are based on the analysis of theoretical sources, statistical data and examples of practical implementation of AI in various fields.