Large-scale Copernicus data uptake with AI and HPC

To address the expected outcomes described above, applicants are requested to respond to one of the following challenges:

• Develop new and innovative products and services designed by industrial and user requirements, having Copernicus data assets and services products at their core, and scaling up to the increased data volumes of Copernicus’ archives, by solving the technological challenges related to Artificial Intelligence, AI, High Performance Computing (HPC,), Big Data processing and management, and the integration with distributed data sources from other industrial domains.
• Develop new, enabling, scalable, operational solutions and technologies to improve capabilities and performance of the Copernicus value chain and supporting infrastructure: from access and discovery of data and information (required to fully integrate Copernicus data archives, including into the wider web of data and connect to European Data Spaces, in a machine to mac