Imagine your company's data is like a giant pile of mixed-up LEGO bricks from different sets. Instead of spending weeks sorting them by hand, this tool acts like a smart robot that organizes everything automatically. It makes sure the pieces fit together perfectly so you can build AI tools without the manual headache.
Organizations struggle with manual, ad-hoc data processes that create silos and high costs. This prevents them from using AI services and participating in European Data Spaces effectively.
An end-to-end platform for data life cycle management. It includes a natural language intent interface and a modular four-layer architecture (User Intent, Runtime, Knowledge, and Interoperability).
If you are a factory operator dealing with fragmented machine data and silos — this project developed an automated data life cycle platform that enables the creation of new AI-based applications and value-added services.
If you are a tourism board dealing with unstructured data from various providers — this project developed a system using knowledge graphs that allows you to cross and analyze human-generated data for better services.
If you are a procurement agency dealing with complex GDPR and data rights compliance — this project developed semantic governance mechanisms to enforce data rights and FAIR principles automatically.
Based on available project data, specific pricing or cost details are not provided as this is a research and innovation action.
Yes, the project is validating the solution in 4 real-world use cases to ensure relevance and scalability across different sectors.
Based on available project data, specific licensing terms are not listed, but the project focuses on contributing to standards and exploitation pathways.
The platform provides protocols and semantic governance mechanisms specifically designed to enforce GDPR and data rights.
The system uses a modular four-layer structure and knowledge graphs to guarantee interoperability with other systems following FAIR principles.
The consortium is heavily industry-driven with 18 companies (67% ratio), including 9 SMEs, which suggests a strong focus on commercial viability. With 27 partners across 11 countries, the project has a broad European footprint, combining the technical scale of NTT DATA with academic and research support from 7 institutions.
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