Мета – Стаття має на меті дослідити еволюцію цифровізації як управлінського та соціально-економічного явища, від комп’ютеризації та інформатизації до сучасного етапу цифрової трансформації. Вона зосереджена на визначенні ключових проблем та перспектив цифровізації в Україні у порівнянні з Європейським Союзом, з акцентом на інтеграції українського бізнесу в єдиний європейський цифровий ринок.
In today’s environment of rapidly growing data volumes, information systems must not only provide storage and access to massive datasets but also maintain stable performance when handling diverse query types. A critical challenge lies in balancing the efficiency of analytical (OLAP) operations with the responsiveness of transactional (OLTP) processes. Traditional approaches to data organization in relational DBMS often lose effectiveness in large-scale environments, resulting in longer processing times, reduced flexibility, and greater complexity in database management.
The article is dedicated to monitoring and researching the environmental condition of areas that have the status of nature-reserved. The work describes the creation of an information system with elements of artificial intelligence for studying the environmental condition of nature-reserved territories. As a result of the analysis of monitoring data, primary data for work was identified, and a database was formed. Special attention is paid to the description of the information model of the object and the indicators selected for its adequate functioning.
The growing use of diverse software solutions has become an integral part of processes involving the selection, transmission, storage, and processing of large-scale data sets and collections characterized by volume, variety, velocity, veracity, value, variability, visualization, and more. This trend creates a heightened demand for highly efficient data processing tools capable of adapting to rapidly changing environments and heterogeneous data sources.
The article explores the development and implementation of an automated system for constructing professionograms of artificial intelligence (AI) specialists using modern information technologies. Against the backdrop of an ever-evolving digital economy and rising demand for qualified AI professionals, the study highlights the need for accurate and scalable tools to identify and assess relevant competencies.
The article describes the issues of designing an information monitoring system for assessing the ecological state of the reserve territory. An information model of the system has been developed taking into account the parameters of the state of air, surface water, and soil in the "Roztochchya" nature reserve; in particular, attention is focused on the features of the biological diversity of the Vereshchytsky and Stavchansky branches of the reserve.
The research is aimed at developing a test survey for the effective selection of specialists in the IT field, based on the use of modern machine learning methods, particularly cluster analysis using the k- means method. Given the limited access to existing testing platforms, which are typically available only to large companies on a paid basis, the decision was made to create an alternative web application. This application will become an accessible tool for a wider range of users and will allow automating the process of evaluating candidates' skills.
The article describes the problem of data personalization by identifying the individual characteristics necessary to solve the personalization problem. The essence of the researched problem of personalization and the solution of tasks of the estimated correlation between individual characteristics and the solution using the forecasting model has been also highlighted.
This paper presents the outcomes of an experimental investigation into the equivalent noise levels of selected streets in Lviv according to varying times of day. Empirical mathematical models, formulated from the experimental data, provide a method to predict noise levels based on the time of day. In addition, the study includes the development of an information system. This system allows analysis of the changes in equivalent noise levels attributable to traffic flows at different times of day.
The article is dedicated to analyzing the processes of developing interfaces for the ‘Smart Home’ information system using the persona method. The integration of ‘smart’ technologies into the everyday environment of modern society plays a crucial role. However, the successful implementation of the information technology concept of ‘Smart Home’ significantly depends on the efficiency and convenience of interfaces that facilitate interaction between the comprehensive information system and various user groups.