The future of business with machine learning is a new way of looking at management decision-making in a company

The relevance of the research topic is dictated by the fact that the digital transformation in business has become an integral part of the strategy of companies striving to remain competitive in the modern world. The implementation of digital technologies makes it possible to optimize internal processes, improve customer interaction, and create new business models. One of the key components of this transformation is machine learning, which provides companies with the ability to analyze data sets and make informed management decisions. All this highlights the need to continue research in this area and highlights the importance of the research paper. It has been confirmed that machine learning methods make it possible to make managerial decisions based on the analysis of large amounts of information, which in the modern world is becoming a key success factor for companies. The authors have concluded that machine learning makes it possible to automate processes that do not have clear logic (algorithms). Consequently, machine learning is changing not only the approach to problem-solving, but also the very structure of business processes. Despite the advantages of using machine learning, it has challenges and risks associated with the implementation of its methods. Based on a comprehensive theoretical study of this issue, a number of practical measures have been proposed for implementing a division in a digital transformation management company.

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