ASSESSING THE LEVEL OF DIGITAL DEVELOPMENT AND DEVELOPING AN ARTIFICIAL INTELLIGENCE-BASED MECHANISM FOR IMPROVING THE EFFICIENCY OF INDUSTRIAL ENTERPRISES
DOI:
https://doi.org/10.5281/zenodo.23219219Abstract
The aim of this study is to assess the level of digital development of industrial enterprises using a system of multifactor indicators and to develop a mechanism for enhancing production and management efficiency through the application of artificial intelligence (AI) technologies. Within the proposed framework, the level of digital development is evaluated using indicators related to technological infrastructure, automation, the application of artificial intelligence, information systems integration, digital competencies, and production efficiency. The artificial intelligence module is employed to analyse the current state of an enterprise, forecast key performance indicators, and generate alternative management scenarios. This approach provides an integrated analytical basis for evaluating digital development and supporting evidence-based managerial decision-making in industrial enterprises.Keywords
artificial intelligence, industrial enterprises, digital development, digitalisation, digital maturity, machine learning, econometric analysis, forecasting, production efficiency, managerial decision-makingReferences
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