Alexandros S. Kalafatelis and Angeliki KrikellaFour Dot Infinity In CyclOps Use Case 4 (UC4), Four Dot Infinity (FDI), Pressious Arvanitidis S.A., Colorprint S.A., and the Centre for Research & Technology Hellas (CERTH) are working together to build a Manufacturing Data

Claudia Peteau (Apidae), Jonathan Huffstutler, Maxime Blanchard, Clémence Rentet, and Isaline Grand (EONA-X). Tourism destinations and private operators today rely on a growing diversity of data to understand visitor dynamics, anticipate crowd peaks, and improve the visitor experience — from

Gabriele Tassi, Simone Martin Marotta (Expert.ai) TL;DR: The Concept Extraction and Categorisation Engine transform unstructured documents into structured, ontology-compliant data. By combining LLM agents with traditional tools, it ensures explainability, traceability, and adaptability across domains. Keywords: Information extraction, Knowledge base,

Saman Cooray, Vikas Ojha, Andrés Suárez-Cetrulo, Julia Palma, Ricardo Simón-Carbajo – CeADAR, Ireland’s Centre for Artificial Intelligence, University College Dublin (UCD)  TL; DR: CeADAR’s AI Marketplace helps users pick the best AI algorithm by combining user intent, data context, and

We live in a world where data is king, and our computers get more powerful daily. But are we using them to their full potential? Traditional ways of organising code and running applications are great, but they are starting to

The CyclOps Project represents a European initiative that works towards addressing the critical challenges industries face in managing and utilising vast amounts of data. Traditional data governance systems often struggle to handle the complexity of integrating information from diverse sources,

Currently, technology enables tourism service providers to be present at every touchpoint with the customer throughout their travel experience. Active guidance by the provider to ensure the fulfilment of tourist expectations is one of the key factors in driving repeat

In today’s data-driven world, seamlessly retrieving and publishing data across various platforms and systems is crucial. CyclOps project highlights the significance of interoperability in the context of data spaces. Let’s explore why interoperability is so vital. Understanding Data Spaces and

Intent-based Networking (IBN) is a known paradigm in network management that applies AI and network orchestration to automate tasks within the network without revealing the details of specific solutions used. “Intent”, which is the basis of IBN refers to a

In today’s data-driven era, the vision of the CyclOps project is to facilitate the adoption and production of data, models, and services from and for data spaces to enable AI-based data-driven applications for all players, business and research alike. The