Savvas Rogotis
Data Ecosystem Senior Project Manager at BDVA

Savvas is a Senior Data Ecosystem Project Manager for BDVA/DAIRO with a strong focus on identifying and establishing an effective collaboration with relevant stakeholders at European, International and National/regional level, thus, contributing to the development of a Community of Practice for Data Sharing in Europe.

Savvas has a demonstrated history of working in the IT sector in multiple verticals (Agriculture, Tourism, Security & Surveillance and e-Governance among them). He received his diploma in electrical & computer engineering from the Aristotle University of Thessaloniki in 2010, and his Master’s degree in Business Administration from the same university in 2012. Over the past 10 years he has been involved in the design, implementation and management of multiple EU funded and national projects.

He is particularly enthusiastic about Innovation Management, fundraising and R&D having contributed in institutions of different type (Research, Public & Private sector) under several roles including business manager, project manager and software engineer. Savvas exhibits a great interest in applied research and how data-driven solutions can foster sustainable growth, from an economic, societal and environmental point of view.

Savvas speaks fluently English and has a strong knowledge in French besides his native Greek.

EDITIONS

SPEAKER SESSIONS

CURRENT EDITION
Deploying Trustworthy AI and Data Spaces: Compliance Technologies from Research to Industrial Adoption
Wednesday Sep 30, 2026  11:00-12:30
Operational Data Spaces: scaling adoption, business value and AI
Wednesday Sep 30, 2026  15:30-17:00
From Vision to Reality: Lessons Learned in Data Sharing, Interoperability and AI Across Sectors
Wednesday Sep 30, 2026  17:00-18:00
2025 EDITION
AI-on-Demand: Your One-Stop Shop for AI Innovation in Europe
Thursday Nov 13, 2025  12:00-13:00
2024 EDITION
Innovative Approaches to Extreme Data Challenges
Wednesday Oct 2, 2024  14:00-15:30
GenAI and Data Spaces
Friday Oct 4, 2024  12:35-12:50
2023 EDITION
Data Spaces and Cybersecurity
Friday Oct 27, 2023  09:00-10:00
Maximizing the value of research data for data spaces
Friday Oct 27, 2023  10:00-11:00
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