APPLICATION OF DIGITAL TWIN TECHNOLOGIES IN PREDICTIVE ANALYTICS AND SOLVING BUSINESS PROBLEMS

The article is devoted to a review of the technologies of «digital twins». The main elements of the technological transition to Industry 4.0 are considered. The characteristic features that distinguish the «digital twin» from the original source are listed. The methodology for creating and the main tasks of the digital twin technology for industrial automation or predictive analytics is described. The authors have identified problems that solve «digital twins». The world and Russian experience in creating «predictive analytics» and developing «highly appropriate digital models» of real objects and processes of the physical world is presented.