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About the IAI2023 Congress

The 21st century has seen remarkable progress in  Artificial Intelligence, with application to a variety of fields (computer vision, automatic translation, sentiment analysis in social networks, robotics, etc.)

This Congress will focus on Industrial Artificial Intelligence, or IAI. The emergence of industrial AI applications holds tremendous promises in terms of achieving excellence and cost-effectiveness in the operation and maintenance of industrial assets.

Opportunities in Industrial AI exist in many industries; aerospace, railways, mining, construction, process industry, etc. Its development is powered by several trends:  the Internet of Things (IoT); the increasing convergence between OT (operational technologies) and IT (information technologies); last but not least, the unabated fast-paced developments of advanced analytics.

However, numerous technical and organizational challenges to the widespread development of industrial AI still exist. This congress intends to explore both opportunities and challenges, and to foster fruitful discussions between AI creators and industrial practitioners.

This congress is dedicated to both academy and industry in order to provide an excellent platform for collaboration by providing a forum for exchange of ideas and networking.

The scope of IAI2023 encompasses and integrates the themes and topics of three conferences, namely Industrial AI & eMaintenance, Condition Monitoring and Diagnostic Engineering management (COMADEM), and Advances in Reliability, Maintainability and Supportability (ARMS) on a single platform.

The congress will cover topics such as:

  • eMaintenance
  • Intelligent Asset Management
  • Industry 4.0
  • Digitalisation
  • Digital Twin
  • Now-casting and forecasting in Operation and Maintenance
  • Industrial AI & Machine Learning
  • Cloud Computing
  • Diagnostics & Prognostics
  • Condition Monitoring
  • Prognostics & Health Management
  • RAMS
  • Life Cycle Costing & Life Cycle Profit
  • Human-Machine-Interface (HMI) & Human-System-Interface (HSI)
  • Industrial wearables
  • Cybersecurity & Blockchain
  • Data Quality, Information Quality & Quality-of-Service
  • System resilience
  • Autonomous Maintenance Analytics