Workshop Data Management for Artificial Intelligence and Machine Learning at IT4Innovations

The workshop focused on presenting techniques and procedures essential for efficient data management in the context of AI and ML, as well as on specific research examples and their requirements or current challenges. Expert-led lectures and discussions showcased tools and frameworks that facilitate working with datasets while leveraging supercomputing infrastructure for training AI models. Participants gained insights into the perspectives of scientists from various disciplines regarding specific needs and challenges in this domain.

The workshop was divided into two presentation sections. In the first part, Jan Martinovič opened the session with his speech, followed by Vít Vondrák, director of the National Supercomputing Center, who presented IT4Innovations from the perspective of its computational infrastructure and services. Martin Golasowski (IT4I) introduced the LEXIS Platform 2 and its core functionalities. Martin Cífka and Georgij Ponimatkin from CTU addressed the computational infrastructure and data processing needs in robotics. The final presentation in this section was delivered by Rudolf Wittner (MUNI), who discussed provenance and its relationship to AI act.

The second part of the workshop focused on the intersection of biomedical data, data management, and artificial intelligence. In front of the engaged audience, the following speakers took the stage: Michal Kozubek (MUNI), Terezie Slanináková and Aleš Křenek (MUNI), Vladimír Ulman (IT4I), Petr Holub (MUNI), and Mikoláš Jurda (MUNI).

Following the lectures, an open discussion allowed participants and speakers to address the challenges of the project Open Science II and explore involvement opportunities through mini-projects. The workshop provided an opportunity for active discussions, experience sharing, and finding out the needs of research groups in relation to artificial intelligence and machine learning.