THE IMPACT OF NEURAL NETWORKS ON BUSINESS AND HUMAN LIFE

The article proves that neural networks play an important role in modern business, contributing to the automation of processes, increasing the efficiency of management decisions and the development of innovative products. They are actively used in data analysis, demand forecasting, personalization of customer experience and risk management. Thanks to the capabilities of artificial intelligence, companies gain competitive advantages, optimize costs and increase productivity. At the same time, the use of neural networks poses new challenges for business, in particular regarding ethics, data protection and the implementation of the latest technologies. The impact of neural networks on everyday life is analyzed, as they change the way people interact with technology and the environment. They contribute to the personalization of the user experience, offering individual recommendations in the field of music, cinema and online shopping, and also simplify communication thanks to automatic translators and voice assistants. In the medical field, artificial intelligence helps in the accurate diagnosis of diseases, the development of medicines and the individualization of treatment. In the business environment, neural networks are used for financial analysis and market trend assessment, and also play an important role in security, in particular in facial recognition systems and cybersecurity. In the educational sphere, artificial intelligence allows you to adapt training programs to the needs of users and automate the verification of tasks. In the entertainment sphere, neural networks are used for content creation, writing texts, generating musical compositions and developing video games. Despite significant advantages, the use of neural networks is accompanied by certain risks. There are issues of data confidentiality, the possibility of job losses due to automation, as well as ethical aspects, in particular, information manipulation and the creation of deepfake content. The implementation and use of neural networks requires a responsible approach to ensure a balance between technological progress and social values.