Software And Data Intensive Services

E-GROUP ICT SOFTWARE INFORMATIKAI ZRT:

In collaboration with ELTE, E-GROUP aims to create new and innovative software technology products in the fields of Fintech, Healthtech, and Govtech, contributing to digital transformation. In the SmartData&Analytics domain, we plan to focus on three major priority areas (Medtech, Fintech, Govtech) to enhance deep learning competence on the DLx platform and establish the foundation for regional digital transformation. Collecting and organizing data from various silos with heterogeneous structures and facing data privacy challenges are of paramount importance. Cryptography is expected to undergo significant changes in the next few years to address quantum technology challenges. We will explore solutions that are resistant to both traditional and quantum computers, considering algorithmic shifts and their practical applications. There are ongoing efforts to enhance security levels while maintaining user-friendliness in user authentication solutions. One new direction involves linking user control of mobile phones or other personal devices (possession) with geolocation data. Authentic geolocation is not only relevant to user authentication but also to logistics for the protection of truck tachographs, autonomous cars/taxis control, and the security of “car sharing” services like MOL Limo/BuBi, Lime, etc. The banking sector has specific requirements for “face-to-face” customer identification and analysis of biometric data. Besides fingerprints and facial images, other data are being experimented with, among which electrocardiography (EKG) represents one of the most promising directions.

MEDISO MEDICAL IMAGING SYSTEMS KFT:

In the field of cardiac evaluations, we focus on the automatic evaluation of two different areas: perfusion and blood pool, using so-called flow-based methods where a high degree of automation is considered innovative. In addition to cardiac evaluations, brain examinations are another important area where numerous diseases can be diagnosed and analyzed using SPECT imaging modality and automated algorithms. The planned developments are of significant importance for low-dose CT or SPECT or PET scans performed with a smaller amount of radioactive tracer injection, enabling patients to receive lower radiation doses while still achieving accurate diagnosis through AI-based methods. There are several areas where innovative methods based on AI are aimed at improving image quality, analysis, and enabling more accurate diagnosis, thereby offering competitive products.

DATA-PRESS INFORMATIKAI KFT:

One of the tasks of Data-Press Kft. within the established competence center is to develop methods that enable time-series analysis of data-intensive monitoring needs, particularly for pressure variations and other transient characteristics occurring in flow-critical machine components. The project involves ELTE researchers creating a research and development infrastructure and an analytical center based on failsafe data collection technologies, capable of performing data-intensive analyses and determining parameters measurable only through dynamic methods. Data-Press Kft. experts provide all the necessary data acquisition units, measurement techniques, knowledge about the challenges of computed measurements with transient phenomena, and a significant amount of real data from actual machine equipment for research purposes. Furthermore, Data-Press Kft. undertakes to design and manufacture the necessary Industry 4.0, semi-industrial equipment set to supply real data for ELTE researchers. The Szombathely campus of ELTE will process thousands of sensor data per minute from various industrial facilities. Dynamic data-intensive signal processing supports continuous aggregation and transformation of incoming data by the servers of the competence center, enabling faster evaluation after preprocessing, regardless of the analysis techniques chosen by researchers.