The Portfolio "AI in Energy" conference will be held on 27 May 2026 at the Marriott Hotel Budapest. The event aims to demonstrate how data and artificial intelligence become concrete business resources in an increasingly energy- and data-intensive economy.
Organizers emphasize that artificial intelligence is not magic: by extracting patterns from historical data it enables dynamic, forward-looking systems rather than static, retrospective accounting. The conference program will explore where investments yield genuine competitive advantage and where they become costly projects with low returns.
Program structure
The one-day event will cover the topic across three sessions:
- from data to AI strategies,
- practical implementation of data-driven operations,
- the process from strategic decisions to value creation.
The agenda will present practical cases and expert discussions on how bit-based operations are redefining corporate competitiveness in the energy sector.
Selected participants
Speakers and panelists include:
- Prof. Dr. Aszódi Attila, university professor, Budapesti Műszaki és Gazdaságtudományi Egyetem Nukleáris Technikai Intézet
- Simon Dezső, Deputy CEO for IT and Business Development, MAVIR
- Káplár-Zagyi Evelin, data analyst expert, E.ON
- Székely Magor Illés, data analyst expert, E.ON
- Karagich Bálint, CEO, Energiastratégia Intézet
- Kiss Gergely, chairman, Attrecto
- Tőzsér Áron, Head of Energy Business, Microsoft Hungary
- Petis László, managing director, IL-PE Kft.
- Dolányi Mihály, CEO, sight-E
- Kalmár Zoltán, Head of Product Development - Siemens AI & Robotics, evosoft Hungary
- Farkas Péter, founder, ArchonLayer
- Hajós Balázs, Head of Sales, Schneider Electric
- Dr. Jánki Zoltán, assistant professor, University of Szeged — Department of Software Development
- Kiss Péter, Head of Business Development, Kraken Tech
- Veszprémi Balázs, CEO, ARTEMIS Technologies
- dr. Varga Pál, head of department, BME Department of Telecommunications and Artificial Intelligence
Why it matters
The conference highlights that energy-sector decision-making is increasingly driven by data and software: AI-based solutions can accelerate and improve optimization of markets, grids and operations. Participants intend to clarify which investment and strategy choices actually generate value for energy-sector organizations.
Registration information is available from the organizer. The cover image is illustrative.
Tags: data, conference, technology, energy, competitiveness, artificial intelligence, innovation, energy sector, data analysis, strategy
