IAI2020: Industrial AI Conference 2020 Clarion Hotel Sense Luleå, Sweden, May 25-28, 2020 |
| Conference website | https://www.ltu.se/research/subjects/Drift-och-underhall/Konferenser/Industrial-AI-Conference-2020?l=en |
| Submission link | https://easychair.org/conferences/?conf=iai2020 |
| Abstract registration deadline | December 1, 2019 |
| Submission deadline | January 12, 2020 |
About the conference
Developments in Artificial Intelligence (AI) is redrawing strategic road map for leading industrial organizations, rewriting industrial processes world over. The world is witnessing the extensive application of new and emerging AI solutions for industrial problems and challenges (IT) in industry. Industrial Artificial Intelligence (IAI), i.e. the context-aware application of industrial domains integrates . Information Technologies (IT ) with Operational Technologies (OT) and Engineering Technologies (ET) to achieve operational excellence through enhanced analytics in operation and maintenance of industrial assets.
The scope of IAI 2020 encompasses and integrates the themes and topics of three conferences, namely eMaintenance, Condition Monitoring and Diagnostic Engineering Management (COMADEM), Advances in Reliability, Maintainability and Supportability (ARMS) on a single platform.
The ambition is to bring insight to opportunities and challenges through implementation of AI in industries apart from future developments with special reference to operation and maintenance of industrial assets.
In addition to interesting workshops, technical program and events, delegates will be able to enjoy some of the fascinating attractions of Swedish Lapland, including the Midnight Sun, the Luleå archipelago and the Arctic Circle.
Submission Guidelines
- Industrial AI & Machine Learning
- AI for Predictive and Prescriptive Maintenance
- Digital Twin applications
- Cloud Computing Solutions
- AI for Diagnostics & Prognostics
- AI for PHM
- AI for RAMS
- Emerging technologies in Condition Monitoring
- eMaintenance issues and challenges
- Human factors & human-machine communication