ISNODA (Informatics System & Networks for Orchestration of Distributed Analytics) aims to promote knowledge sharing and professional collaboration in the rapidly evolving field of information systems and networks. The event on Tuesday served as a useful guide for students, researchers, and industry professionals alike, providing participants with up-to-date information on key digitalization technologies and offering insights into the operation of future intelligent and distributed systems.
Márton Ispány, Associate Dean for Academic Affairs at the Faculty of Informatics at the University of Debrecen, highlighted the close professional collaboration between the institution and its partners, noting that the event was attended by companies whose employees teach at the University of Debrecen’s Faculty of Informatics, or whose technology is used by the Faculty itself.
- The Faculty of Informatics at the University of Debrecen is delighted to host professional events that strengthen the ties between the university’s professional community, external corporate partners, and other academic institutions on topics that enable us to advance both the faculty’s operations and our scientific and educational work- stated the Associate Dean.
Zoltán Gál, head of the Department of Information Systems and Networks at the Faculty of Informatics, emphasized that the workshop focused primarily on the challenges related to artificial intelligence that are strongly present not only in network technologies but also in the qualitative and quantitative characteristics of distributed systems.
- In the case of IT networks, there is a need for fast, adaptive algorithms and mechanisms that can best respond to new demands and changes in load. While older methods were suitable for these challenges to a certain extent, artificial intelligence can make various network services more usable and flexible. The workshop is an excellent opportunity for company representatives to learn about the research being conducted at the faculty and new scientific directions, the department head added.
At the workshop organized with the participation of EPAM, Morgan Stanley, Nokia, Cisco Systems, the Budapest University of Technology and Economics, and the University of Debrecen, experts from industry and academia, international technology companies, and higher education institutions shared their innovative experience in the field, up-to-date practical solutions, and the latest research findings with one another and with the faculty’s students.
The program's topics included, among other things, the presentation of autonomous, event-driven and scalable data processing architectures, special applications of network and sensor systems, security challenges in artificial intelligence, increasing software development efficiency, and the possibilities of real-time data analysis and anomaly detection.
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