Predictive analytics crystal ball powered by Machine Learning. Divining impending crises from bruised profiles and bad history. Grabbing telemetry off rigs to hunt internal 'hot spots' where doom is statistically inevitable.
Building a comprehensive AI ecosystem for industrial safety using an internal team without hiring professional software developers. The solution includes a computer vision system, a hardware-software module for pupil-reaction fatigue monitoring, automated generation of training materials and standard operating procedures, as well as AI simulators for behavioral audits and knowledge checks.
Integrating HSE strategy into production processes by including safety metrics in managing directors' KPIs, applying incident investigation methodology to analyze equipment downtime, and implementing the right to stop unsafe work. The practice also includes scaling safety standards to contractors by integrating them into the corporate risk management system.
Creation of a comprehensive automated system of departmental energy supervision (AS SVEN) to transition from paper reports to a unified digital ecosystem. Implementation of failure tracking modules, control of corrective actions with a strict 10-shift regulation, development of a desk audit mechanism, and transition to predictive analytics based on accumulated data.
Integration of project risk management systems into enterprise digital infrastructure using Big Data and predictive analytics. Application of mathematical methods (Kendall's coefficient of concordance, Pearson's biserial correlation coefficient) to assess the consistency and efficiency of expert forecasts, as well as the transition to Russian IT solutions (e.g., RisGap) for risk management automation.