MANAGING QUALITY OF HIGH-TECH PRODUCTION IN THE AI ECONOMY BASED ON CORPORATE INFORMATION SYSTEMS

We elaborated on the directions of managing the quality of high-tech products by applying corporate information systems based on artificial intelligence (AI). We presented methodological tools for assessing the potential of high-tech productions based on these systems and evaluated the given complex indicators. We identified the list of the leading countries in this sphere and demonstrated that only the comprehensive character of estimate indicators allows assessing the factual state of this indicator. An insufficient level of development of certain indicators may indicate problems or low technologization in sectors that do not manufacture high-techproducts.The presented directions of quality management in this sphere were studied by the example of the Netherlands, Germany, and the UK.We established that AI tools in the production sphere include mainly machine learning, big data analytics, neural networks, and deep learning.The goal of this research was to classify the directions of managing the quality of high-tech productions in the AI economy based on corporate information systems.The research methods we utilised include the ranking method, statistical analysis, induction, and others.