AI-Enabled Data Lifecycles Optimization and Data Spaces Integration for Increased Efficiency and Interoperability
The PLIADES vision is of an advanced future framework for AI-enabled data lifecycles optimization and data spaces integration through which:
- CCAM and ADAS/AD car technologies can be enhanced
- Human-Robot Interaction (HRI) for robot operators and healthcare patients can be advanced
- Advanced, integrated data spaces can be deployed in the mobility, healthcare, manufacturing, energy, and green deal sectors
Use Cases Summary The PLIADES use cases aim to demonstrate:
- The integration of full data lifecycles in the Industrial and Healthcare data spaces
- The integration among multiple data spaces pairs in Mobility, Industrial, Green Deal, Energy, and Healthcare sector
- Funding source: HORIZON Research and Innovation Actions
- Grant agreement No.: 101135988
- Project website
- Project brochure (PDF)
Consortium