#Artificial intelligence
Artificial Intelligence (AI) in occupational health and safety management. Moving to predictive analytics. Cases on neural networks analyzing Big Data, forecasting incidents, and tailoring training.
AI Transformation in HSE: Real Cases, Myths, and the New Role of Specialists
Implementing artificial intelligence in HSE processes across four levels: from using basic generative networks for document management to creating a unified AI safety management architecture. Practical applications include automating responses to prescriptions, dynamic risk assessment via Telegram bots, and deep root cause analysis of incidents with fault tree construction.
Developing an Internal Trainer Institute. How Can a Trainer Become a Heard Voice of Safety?
Creating and scaling an internal safety culture trainer institute at a large industrial enterprise. The practice includes multi-stage selection, trainer preparation, on-site internships, and the use of artificial intelligence (electronic badges) for objective assessment of training quality.
Voice of Danger: How AI Hears Risks Before They Become Reality
Implementation of an AI-based speech analytics system to automate production control. Workers dictate equipment inspection results into explosion-proof smartphones, and the neural network transcribes the speech, generates checklists, and automatically escalates identified risks to management.
Effective Communications: How to Talk About Safety Engagingly
A comprehensive approach to transforming HSE communications using marketing tools and neural networks. The practice includes auditing the HSE department's image using the Hudson model, developing an editorial policy, creating engaging content based on triggers, and applying AI to visualize instructions and generate videos.
Crazy Hands in AI: How to Create a Neuro-HSE Bot in TG and a Professional Presentation in 30 Minutes
Using neural networks and Telegram bots to automate routine tasks of an HSE specialist. The practice includes creating a bot to generate briefing texts based on a corporate knowledge base and subsequently visualizing materials as presentations using AI services.
How Can AI Be Used to Simplify the Creation of Video Presentations?
Using AI avatar technology to automate the creation and updating of video content, including training materials, briefings, and presentations. The HeyGen platform allows generating text-based videos while preserving the speaker's voice, facial expressions, and gestures, and adapting content into over 40 languages without reshoots.
Artificial Intelligence in the Company
Implementation of an AI-based corporate chatbot to automate first-line support for employees on HSE issues. The solution provides instant answers, instruction navigation, and nuance clarification, freeing up specialists' time for strategic tasks.
Digitalization as an Effective Risk Management Tool
Implementation of an automated safety management system (ASMS) to control the safe operation of equipment, buildings, and structures. The system digitizes the planning of industrial safety expertise, automatically notifies responsible persons, blocks the operation of expired equipment, and generates an annual report for Rostechnadzor.
Implementation of the Climate Agenda at Tatneft
Comprehensive implementation of the climate agenda and circular economy principles in a large industrial holding. Introduction of CO2 capture and storage technologies, use of UAVs and AI for emissions and safety monitoring, and creation of a closed-loop recycling system for rubber products using pyrolysis.
Visual Communication Tools in HSE: From Idea to Implementation
Implementation of a visual communication system at a high-security enterprise to increase employee awareness of HSE requirements. Development of memos, posters, and information boards using a cross-functional team and neural networks, leading to a reduction in micro-injuries and repeated violations.
Digital Safety Services: Ecology and Fleet Under Control
Implementation of a telematics and AI video analytics system for fleet control and predictive accident prevention. The system includes sound alerts for drivers during violations, driving style scoring, and automated feedback via Telegram bots for line managers.
Critical Risk Management Through a Barrier Approach
Transitioning from formal hazard lists to a dynamic critical risk management system via a barrier approach. Practices include integrating risk assessment into the budget campaign, distributing barrier control responsibilities among management levels during walkarounds, and building a motivation system based on risk identification.