Data Platforms for Advanced AI-native Networks: 6G Data Space, DataOps, MLOps, Dataset Generation & Curation
Date, hour and room to be defined
Organisers
- Christos Verikoukis (ISI/Athena, GR))
- Vasileios Theodorou (Intracom Telecom, )
Motivation and Background
The aim of this workshop is to explore the critical role of data platforms in shaping AI-native 6G networks within the framework of the SNS-JU programme.
The speakers will discuss the importance of AI and data platforms in enabling innovative 6G applications and services; delve into the role of MLOps and DataOps in streamlining the development and deployment of AI-powered solutions; examine challenges and best practices for ensuring data privacy and security in 6G networks while respecting data sovereignty; and explore mechanisms for providing easy access to digital twins and testbed facilities, as well as other data sources, together with AI and analytics capabilities for a wide range of users. By focusing on these key areas and leveraging the complementary expertise of operators, vendors, researchers, platform providers and AI/data regulators, the workshop will provide valuable insights and foster discussions that can help shape the future of 6G networks.
This workshop directly aligns with the core themes of EUCNC 2026, in particular the intersection of AI as a native capability and next-generation networks. By addressing the critical challenges and opportunities of AI-native and data-driven 6G networks, the workshop will contribute to the ongoing dialogue on future 6G data-centric networking paradigms. It will provide a platform for experts to share insights, discuss best practices, and foster collaboration in this rapidly evolving field.
The workshop will feature distinguished experts from leading organizations with highly relevant expertise and diverse backgrounds, including telecommunication operators, equipment manufacturers, test and measurement companies, testbed infrastructure providers, AI technology leaders and experts on Data regulation/AI Act. These experts bring extensive experience in AI, telecommunications, research, and data science, and their contributions will provide a comprehensive view of the challenges and opportunities in building and deploying AI and data platforms for 6G networks.
Structure
Technical Presentations from key experts in the area
* Introduction – Prof. Ch. Verikoukis (ISI/ATHENA), Title: 6G-DALI: Building the Pan-European 6G Dataspace.
* Dr. V. Theodorou (INTRACOM Telecom), Title: DataOps for Next Generation Telecom Systems: Data Curation, Data Quality Management and Governance in the AI era
* Dr. A.Z.Hindi (Luxembourg Institute of Science and Technology), Title: Towards a data space for 6G network digital twins: defining data taxonomy and data models.
* Dr. Ch. Murphy (VIAVI Solutions), Title: Data for RAN – how data spaces and digital twins realise autonomous network management.
* Dr. L.Conteras (Telefonica I+D), Title: Automated Network Diagnosis Data Generation.
* Mr. G. Bernini (NEXTWORKS), Title: MLOps for a Fragmented 6G Ecosystem: Enabling AI Interoperability for data generation
* Dr. L.Cordeiro (One Source) Title: The challenges in implementing a data management plan in large-scale trials and pilots.
* Dr. K. Ramantas (IQUADRAT INFORMATICA), Title AI Federation for collaborative AI data generation research in 6G.
* Prof. A. Ksentinit (EURECOM), Title: On using NWDAF for MLOps: The 6G-INTENSE´s vision
* Prof. D. Kliper (Trinity College), Title: In network data management and control for desentralised multi-network AI.
* Dr. A.Lalas (CERTH): NATWORK Data Management Platform: A Federated Data Repository for Boosting AI-Powered 6G Security.
* Dr. H.Koumaras (NCSR DEMOKRITOS), Title: Building the Trustworthy 6G Data Space: SAFE‑6G Innovations in DataOps, MLOps and Explainable AI.
* Dr. L.Birguglio (CyberEthics), Title: Governing the ethical design of 6G: from principles to requirements
