We are excited to announce the launch of EUDATA+, a new European Data Sharing and Monetization Cluster that aims to transform the data landscape. This groundbreaking initiative will bring together leading specialists in data sharing and monetization, creating a collaborative space for innovation and growth. As part of the cluster, enRichMyData is proud to collaborate with DATAMITE, PISTIS,

The enRichMyData project, in collaboration with the INTEND and Dynabic projects, is set to host an insightful session titled “Generative AI for Data and Knowledge Engineering” at the Big Data Value Association Forum (BDVAF) 2024 in Budapest, taking place from 2-4 October. This session will explore the transformative potential of generative AI, particularly large foundational

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 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

enRichMyData project is going to be presented at the Resource Aware Machine Learning workshop, organised within the Danish Digitalization, Data Science and AI (D3A) Conference in Nyborg, Denmark on the 1st and 2nd February. The workshop aims to take a holistic view of the ML landscape, which includes data preparation and loading, continual retraining of

Neuro-Symbolic AI is emerging as a paradigm for developing intelligent systems that can process and recognise patterns in large amounts of data and reason and make decisions based on explicit knowledge and rules. Neuro-Symbolic AI combines the strengths of symbolic reasoning and neural-based approaches. Graph technologies (Knowledge Graphs, Graph Neural Networks, graph databases, etc.) provide