XI international forum
November 24 - 26, 2026
|
Hotel "Radisson Blu"
|
Chelyabinsk

Seymartec Digital. Digital Transformation and Cybersecurity in Heavy Industry — 2026

Program

Day Nº1

Galaxy 3 Hall. Section 1. Digital Strategy for Industrial Holdings

  • Developing a unified digital transformation strategy and enterprise architecture for industrial holdings.
  • Moving beyond isolated pilot projects to enterprise-wide deployment of digital solutions.
  • Managing data, workforce capabilities, and organizational change throughout the transformation journey.
  • Measuring the business value of digital transformation: ROI, economic impact, and risk assessment.

Galaxy 3 Hall. Section 2. Digital Transformation: Implementation Case Studies

  • Managing digital transformation portfolios and delivering measurable business outcomes.
  • Replacing foreign enterprise and industrial software with domestic alternatives.
  • Scaling MES, PLM, and other industrial digital solutions across multiple production sites within the holding.
  • Building in-house IT capabilities, developing digital platforms, and fostering strategic technology partnerships.

Galaxy 3 Hall. Section 3. Engineering Design, GIS, BIM and Digital Geology

  • Digital tools for engineering design and industrial construction project management.
  • Application of BIM, PLM, and domestic engineering data management systems.
  • Digital modeling of mining operations and industrial facilities.
  • Automation of project documentation storage, review, approval, and version control.

Galaxy 3 Hall. Section 4. Video Analytics, Computer Vision and IIoT

  • Application of computer vision for product quality inspection and process control.
  • Video analytics for industrial safety monitoring and occupational health & safety compliance.
  • Leveraging IIoT, RFID, and production data to monitor equipment performance and operational processes.
  • Scaling computer vision solutions across industrial enterprises.

Galaxy 1 Hall. Section 2. Data Governance, Industrial Data and Corporate Portals

  • Building a unified framework for managing industrial and enterprise data.
  • mplementing Data Governance and Master Data Management (MDM) at industrial enterprises.
  • Leveraging industrial data for day-to-day operational decision-making.
  • Using corporate portals, knowledge bases, and AI assistants to enhance employee productivity.

Galaxy 1 Hall. Section 3. Maintenance, Reliability and Predictive Analytics

  • Transitioning from preventive maintenance to condition-based asset management.
  • Condition monitoring systems and predictive analytics for equipment failure prevention.
  • Establishing operations and analytics centers for maintenance and reliability management.
  • Leveraging operational and maintenance data to reduce downtime and maintenance costs.

Galaxy 1 Hall. Section 4. Training, AR/VR and Industrial Safety

  • Using VR simulators to train production personnel and prepare for emergency response scenarios.
  • Applying AR, mobile solutions, and digital inspections in production and maintenance operations.
  • Digital tools for safety monitoring, personnel tracking, and hazardous area management.
  • Building a strong safety culture through continuous training and workforce development.

Day Nº2

Galaxy 3 Hall. Section 1. Digitalization of Mines and Processing Plants: MES/MOM

  • Building an integrated digital operating model for mines, processing plants, and production logistics.
  • Integrated planning of mining operations, mineral processing, product quality, and production output.
  • Implementing and replacing foreign MES/MOM and manufacturing operations management systems with domestic solutions.
  • Scaling manufacturing platforms across multiple operations and business units within the holding.

Galaxy 3 Hall. Section 2. Mining Operations, Fleet Management and Autonomous Equipment

  • Digital dispatching and fleet management for surface and underground mining equipment.
  • Deploying autonomous and remotely operated vehicles at mining operations.
  • Monitoring payload, haul routes, equipment downtime, fuel consumption, and fleet condition.
  • Optimizing mining fleet configuration and improving equipment productivity.

Galaxy 3 Hall. Section 3. ERP, Supply Chains and Business Processes

  • Replacing foreign ERP systems with domestic enterprise solutions.
  • Integrating ERP, MES, MDM, ECM, and other core enterprise systems.
  • Digitalizing procurement, warehouse management, logistics, and supply chain operations.
  • Redesigning and automating end-to-end business processes across industrial holdings.

Galaxy 3 Hall. Section 4. Corporate Services, RPA, LLMs and Knowledge Management

  • Deploying enterprise AI assistants and LLM solutions within secure corporate environments.
  • Applying Retrieval-Augmented Generation (RAG) to search and analyze technical, regulatory, and corporate knowledge.
  • Automating routine business processes and migrating from foreign RPA platforms.
  • Building a unified digital ecosystem for corporate services and knowledge management.

Galaxy 1 Hall. Section 1. Digital Twins, Modeling and Predictive Analytics

  • Developing digital twins of equipment, industrial processes, and production facilities.
  • Scenario modeling of production performance, product quality, and resource consumption.
  • Applying physics-based, mathematical, and AI-driven models to optimize production operations.
  • Moving from process monitoring to predictive analytics and optimization of operating conditions.

Galaxy 1 Hall. Section 2. Monitoring and Operations Control

  • Establishing centralized operations control centers for geographically distributed production assets.
  • Real-time monitoring of equipment, personnel, and industrial processes.
  • Leveraging IIoT, sensors, video analytics, and RFID to capture and analyze operational data.
  • Replacing foreign dispatching systems, field equipment, and industrial software with domestic solutions.

Galaxy 1 Hall. Section 3. OT Cybersecurity and Critical Infrastructure Protection

  • Strengthening the cyber resilience of industrial control systems and critical infrastructure.
  • Protecting industrial control systems (ICS), production data, digital assets, and AI environments.
  • Monitoring, detecting, and investigating cybersecurity incidents.
  • Building a comprehensive industrial cybersecurity framework and fostering a strong cybersecurity culture across the workforce.

Galaxy 1 Hall. Section 4. AI in Manufacturing and Digital Advisors

  • Applying AI to optimize operating parameters and improve production performance.
  • Deploying digital advisors for process engineers, operations dispatchers, and production personnel.
  • Leveraging LLMs, RAG, and AI agents within secure industrial environments.
  • Measuring and scaling the business value of industrial AI solutions.

Day Nº3

Galaxy 3 Hall. Section 1. AI Agents and Digital Advisors

  • Applying AI agents to analyze production context and support operational decision-making.
  • Deploying digital advisors to optimize product quality, operating parameters, and process efficiency.
  • Leveraging computer vision and production data in intelligent process control systems.
  • Building in-house generative AI platforms and scaling AI solutions across industrial enterprises.

Galaxy 3 Hall. Section 2. Robotics, UAVs and Computer Vision

  • Deploying industrial robots and remote operation technologies in manufacturing environments.
  • Using UAVs to monitor construction projects, equipment, and industrial infrastructure.
  • Applying computer vision for quality control, safety monitoring, and detection of process deviations.
  • Integrating robotics, video analytics, and production data into a unified digital ecosystem.

Galaxy 3 Hall. Section 3. Digital Geology, Geometallurgy and Intelligent Mineral Exploration

  • Applying AI and neural networks to mineral exploration, resource evaluation, and geological interpretation.
  • Developing digital geological and geometallurgical models.
  • Integrating geological, mining, ore flow, and mineral processing data.
  • Leveraging digital models for mine planning, ore quality management, and production forecasting.

Galaxy 3 Hall. Section 4. R&D, Research Institutes, Universities and Technology Transfer

  • Strengthening collaboration between industrial enterprises, research institutes, and universities.
  • Bridging the gap between research, pilot projects, and industrial-scale deployment.
  • Developing digital platforms, models, and technologies for real-world industrial applications.
  • Providing scientific support for digital transformation and technological development across industrial enterprises.

Galaxy 1 Hall. Section 1. Industrial Automation, Instrumentation and Open Architectures

  • Modernizing and replacing foreign industrial automation, instrumentation, and process control systems with domestic solutions.
  • Developing open, scalable architectures for industrial process control.
  • Integrating controllers, instrumentation, supervisory control systems, and production information systems.
  • Applying advanced process control (APC) and optimization technologies to improve operating performance.

Galaxy 1 Hall. Section 2. Workshop: Data Architecture and KPI Frameworks

  • Building a unified architecture for enterprise production data.
  • Defining KPIs for digital twins, production systems, and digital transformation initiatives.
  • Defining KPIs for digital twins, production systems, and digital transformation initiatives.
  • Transitioning from fragmented spreadsheets and data sources to a unified data model and integrated management framework.

Galaxy 1 Hall. Section 3. Digital Industrial Safety, Occupational Health and Production Control

  • Applying AI and video analytics to detect safety violations and hazardous situations.
  • Digitally monitoring the condition of industrial facilities, open-pit mines, and underground workings.
  • Automating inspections, equipment diagnostics, and production control processes.
  • Using digital tools for workforce training and industrial risk reduction.

Galaxy 1 Hall. Section 4. Energy Efficiency and Industrial Data

  • Building systems to monitor energy consumption and production resource utilization.
  • Leveraging industrial data to reduce energy intensity and production losses.
  • Digitally managing energy efficiency programs and measuring their business impact.
  • Improving the energy and resource efficiency of industrial equipment and production processes.
Registration

Participants from industrial enterprises:

  • Owners
  • General and Managing Directors
  • Directors of Digital Transformation
  • Development Director
  • IT Director
  • Automation Director
  • Chief Engineers
  • Technical Directors
  • Heads of the automated process control system

Author: New Admin

Conference plan

Registered and invited participants

Results of the last conference Seymartec digital 2023
Industry companies (Русский) 2025
Service companies (Русский) 2025
General information partner
Information partners
Venue
November 24 - 26, 2026 | Hotel "Radisson Blu" | Chelyabinsk
454000, Russia, Chelyabinsk, Truda, 179
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