ON THE USE OF MACHINE LEARNING IN BUSINESS PROCESSES FOR AUTOMAT-ING BIG DATA PROCESSING

Abstract The article examines the application of (ML) in business processes for automating the handling of large volumes of data. It analyzes the theoretical foundations of ML, emphasizing its ability to uncover hidden patterns, predict future trends, and optimize processes. The study underscores the importance of integrating ML into business operations to transform large volumes of data into actionable insights, thereby driving innovation and enhancing productivity. The challenges associated with ML, such as the need for large, high-quality datasets and the intricacies of model integration into existing business processes, are discussed. It is highlighted that despite these challenges, the benefits of ML, including enhanced decision-making capabilities and operational efficiency, make it a crucial tool for modern enterprises.