Digital transformation in large industrial companies often faces conservatism, bureaucracy, and a fear of innovation. Health, Safety, and Environment (HSE) specialists are forced to spend time on routine processes instead of focusing on preventive measures. In her presentation, Anastasia Lukovenko analyzes a practical case of overcoming these barriers through the phased implementation of artificial intelligence tools.
The integration of neural networks does not necessarily require massive IT budgets at the start. The speaker demonstrates, using the example of her company (over 18,000 employees), how the initiative began with basic solutions created without involving programmers. Specialized chatbots were developed:
The success of these pilot projects led to scaling: from local master classes for HSE specialists, the company moved to targeted training for top managers and holding strategic sessions on implementing AI in other departments.
As expected, information security became the main barrier to AI development in the corporate sector. The use of external platforms raises justified questions from the security service about server locations and data leak risks. The presentation details the solution to this situation: transitioning from cloud solutions to deploying an in-house local platform. Purchasing servers and installing a local large language model (LLM) allowed the company to start training the neural network on internal documents while remaining entirely within a closed security perimeter.