GREEN.DAT.AI

GREEN.DAT.AI aims to channel the potential of AI towards the goals of the European Green Deal, by developing novel Energy-Efficient Large-Scale Data Analytics Services, ready-to-use in industrial AI-based systems, while reducing the environmental impact of data management processes.

GREEN.DAT.AI will demonstrate the efficiencies of the new large-scale data analytics services in four industries (Smart Energy, Smart Agriculture/Agri-food, Smart Mobility, Smart Banking) and six different application scenarios, leveraging the use of European Data Spaces.

The services will cover AI-enabled data enrichment, Incentive mechanisms for Data Sharing, Synthetic Data Generation, Large-scale learning at the Edge/Fog, Federated and Auto ML at the edge/fog, Explainable AI/Feature Learning with Privacy Preservation, Federated Learning (FL) and Automatic Transfer Learning, Adaptive FL for Digital Twin Applications, and Automated IoT event-based change detection/forecasting.

The ambition is to exploit mature (TRL5 or higher) solutions already developed in recent H2020 projects and deliver an efficient, massively distributed, open-source, green, AI/FL–ready platform, and a validated go-to-market Toolbox for AI-ready Data Spaces. The GREEN.DAT.AI Toolbox will be by-design compliant with the FAIR data and metadata management principles.

The GREEN.DAT.AI Consortium consists of a multidisciplinary group of 17 partners (and one associated party) from 10 different countries, well balanced in terms of expertise.