Empower AI-driven business products and services.

High-quality, rich and meaningful data are crucial to successfully implementing Artificial Intelligence (AI) and Big Data Analytics (BDA) solutions. Delivering required data to feed into AI and BDA models is costly, difficult, and often limited in data and skill availability. It is well known that up to 80% of the effort spent in AI and BDA projects is dedicated to ensuring data is fit for purpose. Activities are required to discover, understand, select, clean, transform, and integrate data from a variety of sources in such a way that data can be fed into the modelling phase. Such activities result in enriched data, eventually improving the quality of downstream BDA and AI applications. The data enrichment process is implemented by specifying, deploying, and executing data enrichment pipelines over data that can be structured, semi-structured and unstructured, in large amounts, and from static or streaming sources. While techniques exist to cover different enrichment operations such as data cleaning, linking, feature extraction, classification and semantic annotation, etc., the lack of comprehensive approaches and established tools dedicated to data enrichment makes the definition, implementation, and operation of enrichment pipelines difficult for too many organizations willing to improve their BDA and AI applications.

The overall vision of the enRichMyData project is to create a novel paradigm for building rich, high-quality, valuable, and FAIR-compliant datasets to feed downstream BDA and AI applications in the context of data-sharing ecosystems, such as data spaces. The paradigm facilitates the specification and execution of data enrichment pipelines, focusing on supporting various data enrichment operations. enRichMyData makes this easily accessible to a wide set of large and small organizations that encounter difficulties in delivering suitable data to feed their BDA and AI solutions due to the lack of usable tools/expertise for the cost-effective management of data enrichment pipelines.

News & Events


Navigating the Future of Data Monetisation

enRichMyData project was presented in the Data Monetization session on Day 1 at the Data Spaces Symposium 2024. The symposium took place on March 12-14, 2024, at Darmstadtium (Darmstadt, Germany), Frankfurt Region. Organized by the Data Spaces Support Centre (DSSC) and the Data Spaces Business Alliance (DSBA), this symposium is a pivotal gathering for those


Data Monetisation Session at Data Space Symposium 2024

The Data Monetization session, organised by UPCAST, enRichMyData and Graph-Massivizer Projects, is part of Day 1 at the Data Spaces Symposium 2024. The symposium will take place March 12-14, 2024, in Darmstadt, Germany. The session will focus on how organisations can extract value from their data in the evolving digital landscape. Various approaches, leveraging advanced


Joint EU projects workshop

The enrichMyData project is engaged in a joint workshop alongside two other groundbreaking projects funded by #horizoneurope UPCAST: Universal Platform Components for Safe Fair Interoperable Data Exchange & Monetisation and the Graph-Massivizer Project. The workshop is hosted by the SINTEF team on 9th of February, 2024, in Trysil, Norway. UPCAST develops a set of universal,


enRichMyData plenary meeting in Trysil

In a recent plenary meeting held in Trysil, Norway, on the 8th of February, the enRichMyData project, a pioneering initiative in data enrichment, laid out a comprehensive plan to address critical recommendations, advance tool development, and align with key events for dissemination. The meeting, attended by project partners, emphasized the importance of prioritising the project’s


Joint workshop UPCAST – enRichMyData – Graph-Massivizer

Joint workshop “UPCAST – enRichMyData – Graph-Massivizer” will be organised in conjunction with the plenary meetings of the projects UPCAST, enRichMyData and Graph-Massivizer on the 9th of February in Trysil, Norway. It will be hosted by SINTEF AS. The workshop aims to share knowledge across projects related to data challenges and approaches, find technology and


Resource Aware Machine Learning workshop

The enRichMyData was represented at the Resource Aware Machine Learning workshop at the Danish Digitalization, Data Science and AI 2.0 (D3A) Conference, Nyborg, Denmark, on the 1st and 2nd of February 2024. This workshop aimed at reasoning critically about how we build software and hardware for end-to-end Machine Learning (ML). The fruitful discussions led to

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The enRichMyData project is coordinated by SINTEF (Norway), one of European’s largest independent research organisations. The project partners include companies such as Philips (The Netherlands) and Bosch (Germany), dedicated to engineering and manufacturing; Speed Network (Estonia), a provider of procurement data; JOT Internet Media (Spain), a digital marketing company; CS Group (Romania), a software service company; Expert AI (Italy), a technology company specializing in natural language understanding; and Ontotext (Bulgaria), a semantic technology company. They will have the full support of the research partners that, in addition to SINTEF, include the University of Milano Bicocca (Italy), Jozef Stefan Institute (Slovenia), University of Copenhagen (Denmark), GATE Institute (Bulgaria), and BGRIMM Technology Group (China).

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