INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO THE BUSINESS PROCESSES OF THE ENTERPRISE AS AN EFFECTIVE TOOL FOR ITS DEVELOPMENT
Abstract
The article summarizes the issue of increasing the efficiency, speed and correctness of the enterprise's business processes. The main purpose of the article was to combine the possibility of increasing the efficiency of the enterprise's business processes with the use of artificial intelligence, its methods and tools. New approaches to forecasting the business processes of the enterprise (Predictive Process Monitoring (PPM)), which enables the analysis of the event and the current execution of the algorithm, with the aim of predicting the future behavior of the programmed business process algorithm, are considered. PPM provides the possibility of advanced intelligent analysis of business processes with forecasting functionality . A thorough analysis of literary sources confirmed the relevance of the study and revealed a focus on the use of artificial intelligence in business process management. The widespread use of information technologies in enterprises will allow to move to a higher level of development and accelerate the recovery of the country's micro- and macroeconomic environment. The process of mergers and acquisitions of enterprises will characteristic of reconstruction after the end of the war, that is why this methodology was proposed by the authors. The methodological tools of the study were the following methods: scientific abstraction, analysis and synthesis, structural-logical method for the formation tools for improving the company's business processes, monitoring them for the purpose of adapting and correcting the production process. Business processes of the enterprise were chosen as the object of research, and artificial intelligence and its methods were chosen as the subject.
An interdisciplinary approach made it possible to offer artificial intelligence solutions to the enterprise's business processes. Machine learning has been identified as a tool for increasing operational efficiency through the implementation of automated solutions, creating cognitive business technology frameworks that actually think like humans, which will positively affect productivity and reduce human labor. It has been proven that predictive modeling will improve the financial results of enterprises and increase income. The results of the study can be used by Ukrainian enterprises to form a strategic goal of their development.
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