INTELLECTUAL TRANSFORMATION OF PROCESSES AS PART OF THE STRATEGIC DEVELOPMENT OF COMPANIES

The article considers intelligent transformation as a stage of digital evolution based on the integration of artificial intelligence, machine learning and data analytics into production processes to improve the adaptability and strategic sustainability of business. The transition to management based on cognitive and algorithmic models is revealed, ensuring the autonomous functioning of organizations due to intelligent data processing. The difference between digitalization and intelligent transformation, which creates new management models based on artificial intelligence, is revealed. Intelligent transformation ensures the transition from digital automation to self-governing and adaptive systems capable of increasing sustainability and competitiveness in the face of global challenges. The key components of intelligent transformation, big data analytics, cognitive algorithms, digital twins and adaptive systems, are presented as the basis for building an intelligently active organization focused on automation and predictive management in the face of multiparameter uncertainty. Intelligent optimization of business processes is summarized as a tool for improving operational efficiency and a factor in strategic development that contributes to the formation of innovative-active organizational models.