Annotation

Annotation: The paper outlines the expectations of stakeholders from predicting risks in the life cycle of various systems. The analysis of mathematical and technological limitations and assumptions that determine the applicability of the proposed models and methods is carried out. The applied possibilities in extracting hidden knowledge using probabilistic modeling are revealed. The implementation of the identified application capabilities is demonstrated by examples. A variant of the technical appearance of the technology for solving system engineering problems based on the intelligent infrastructure of globally distributed risk prediction is proposed.