Webinar: Data, Cloud & AI federation: Building the infrastructure of the future

Join a webinar dedicated to the next generation of data space infrastructure

Prometheus-X will be part of the webinar “Data Cloud & AI federation”  hosted by VISIONS, on June 19. Join and discover how a new generation of no-code, modular infrastructure makes it possible to unify these silos and build interoperable ecosystems that generate real, cross-sector value chains by combining existing infrastructures.

Today, there are hundreds of data spaces and marketplaces across Europe, but their fragmentation is slowing down innovation. Together with Visions and its partners, we are building the infrastructure to interconnect these ecosystems into a shared network — and we’ll unveil the first concrete examples.

At the heart of this dynamic, VisionsTrust provides the technological backbone, enabling the orchestration of intelligent service chains and the seamless integration of cloud, AI, and data services in full compliance with European standards.

📅 Date: Thursday, June 19, 2025

🕙 Time: 4:00–5:30 PM CEST
💻 Format: Online

 
This event brings together a pioneering community that doesn’t just talk about data spaces — it makes them operational. From publishing services in a shared catalogue to combining them into interoperable service chains, these actors are already building the ecosystems of tomorrow.

What to expect:

  • Live demonstration of the new features in VisionsTrust, used by 260+ organisations
  • Focus on infrastructure services and data chain creation, including interoperability, pseudonymisation, and intelligent services
  • Real-world use cases in Education & Employment with Prometheus-X and Edtake, Legal with Legal Data Space, Smart Cities with FIWARE and Cross-sector
  • Exclusive preview of Cloud2Space4AI, featuring Clever Cloud, Pleias, Linagora, and OpenDataSoft — showcasing how cloud and AI providers are integrating into data spaces

 

This event is open to all organisations working in data, AI, and infrastructure that want to take the next step in operationalising data spaces.