Table of Contents

15th RAIDO Newsletter – June 2026

RAIDO JUNE 2026 NEWSLETTER [PART 2]

In the second part of our June update, we shift our focus towards the real-world validation and dissemination activities that are helping transform RAIDO’s technologies into practical solutions.

From pilot integration and platform assessment to partner contributions and public demonstrations, this edition highlights how RAIDO continues to advance trustworthy, transparent, and sustainable AI across diverse application domains and stakeholder communities.

As RAIDO enters its intensified piloting phase, the project continues validating its technologies across four real-world pilots and eight use cases spanning energy, agriculture, healthcare, and robotics. These activities assess the applicability, efficiency, and reliability of the RAIDO platform under realistic operating conditions while helping refine the project’s second platform release.

Recent validation activities included cognitive walkthrough exercises and extensive user feedback sessions involving pilot leaders and end users, providing valuable insights into platform usability, functionality, and overall user experience.

Read the full blog post here.

The latest partner spotlight video features Centre for Research and Technology Hellas (CERTH), one of Europe’s leading research organisations and a key contributor to the RAIDO consortium.

The video highlights CERTH’s work in federated learning technologies, user experience design, and smart energy infrastructures, as well as its contribution to the Energy Grid pilot through privacy-preserving AI approaches and real-world validation environments.

Watch the full video here.

RAIDO participated in BEYOND Expo 2026 in Athens, presenting its vision for trustworthy and sustainable Artificial Intelligence to visitors from industry, research, and the wider innovation ecosystem.

A key highlight of the project’s presence at the event was the demonstration of the Image & Timeseries Federated Data Mining (FDM) Tool, showcasing how data-efficient and privacy-aware technologies can support more sustainable AI development while reducing computational and data-sharing requirements.

Read the full press release here.

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