ABOUT THE CONFERENCE
SCADA & IT/OT Convergence • Industrial Data Governance • Metadata & Lineage • Data Products • AI Governance
Energy companies are generating more data than ever across plants, grids, assets, engineering systems, trading environments, customer platforms and cloud infrastructure. Yet the real challenge is no longer simply collecting data. It is making that data trusted, understood, accessible, interoperable and governed across the organisation and the wider energy ecosystem.
The 2nd Data & AI Governance in the Energy Sector conference brings together senior data practitioners across the wider energy value chain to examine how Data Governance is being implemented in practice.
The 2027 edition moves beyond governance frameworks and policies to focus on the operational challenges energy companies are facing today: establishing real data ownership, improving the quality of operational and asset data, connecting siloed IT and OT environments, creating common information standards, building scalable data products, preserving metadata and traceability, and preparing trusted data foundations for AI.
Featured Topics
- Making data ownership and accountability work across complex energy organisations
- Industrialising Data Quality and moving from issue detection to root-cause remediation
- Building scalable access through Data Products, Data Contracts and governed self-service
- Operationalising MDM, metadata and stewardship
- Creating common taxonomies and information standards for energy-sector interoperability
- Connecting engineering, asset and operational information across the energy lifecycle
- Building enterprise ontologies, semantic models and knowledge layers
- Establishing end-to-end Data Lineage for critical energy data journeys
- Preparing trusted and contextualised data for AI and GenAI
- Translating EU AI Act requirements into operational data and governance controls
SPEAKERS
Alejandro Sánchez Alarcón
Chief Data Officer
Naturgy Renewables
Matteo Masotti
Head of Data Governance, Strategy and Operational Intelligence
Aquila Clean Energy
Philippe de Vlaminck
Head of Analytics & AI
Vopak
Theodoros Manouilidis
Director of Strategy, Governance & Data Architecture Division (DDM)
PPC
Andreas Tagkalakis
Head of Data Management & Governance Office
OMV AG
Pedro Dominguez
VP Strategic Global Programs Data Governance
Schneider Electric
Anja Visser
Senior Data Architect
Shell
Aatish Kumar
Head of Data & AI
Eneco
Erik Jacques Wiborg
Lead Engineer Asset Data Governance
Statkraft
Why Attend?
Benchmark your Data Governance maturity
Compare how leading energy organisations are translating governance principles into practical operating models, controls and technology.
Learn from real energy-sector implementations
Hear how organisations are tackling ownership, operational-data quality, interoperability, metadata, data products, MDM, lineage and AI readiness in complex real-world environments.
Connect Data Governance with operational value
Explore how better governed data can support more reliable operations, faster access to trusted information, improved regulatory traceability and more scalable digital transformation.
Prepare the data foundation for AI
Understand what must be in place before AI can safely and effectively consume enterprise and operational energy data.
Exchange experience with peers
Join senior practitioners from across the European energy value chain for two days of focused case studies, benchmarking and discussion in Rotterdam.
Who should attend
There’s nothing like being in a room of like-minded people. Joining us this year will be:
VPs, Directors, Heads, and Managers responsible for the following within the organisation:
- Data & AI
- Data Quality
- Data Management
- Data Steward
- Data Governance
- Enterprise Data Architecture
- Data & analytics
- Master Data
- Master Data Governance
- Data Products
Speaker Opportunities
Do you think you experience and knowledge can contribute to the agenda?
Are you interested in presenting a case study on behalf of your company?
Please send your inquiry with a short description of your professional background and topic you are interested to cover to sofia@tbmgroup.eu