Аннотации:
The article is devoted to a systematic and multidimensional study of the modern landscape of information technologies that shape the structure of digital transformation at the macroeconomic and microeconomic levels. The work provides a deep conceptual demarcation between the processes of hardware digitization, algorithmic digitalization, and strategic business model transformation. The study is based on an analysis of the European infrastructure and regulatory context, in particular the "Digital Decade 2030" program, the "Twin Transition" concept, and the latest legislative acts (Data Act, AI Act) that define new standards for cybersecurity and interoperability.
Special focus is directed toward the evolution of the corporate management technology stack. The transition from rigid robotic process automation (RPA) scripts to the paradigm of hyperautomation and the deployment of autonomous systems based on Agentic AI is analyzed in detail. The engineering principles of applying Process Mining technologies for reengineering corporate networks are explored. Using the Ukrainian market as an example, the article highlights the critical issue of enterprise migration from obsolete sanctioned software (legacy systems) to modern cloud ERP solutions and Open-Source platforms. An overview of integration technologies (API, ESB) and electronic document management systems using cryptographic tools (QES) is provided. The monograph concludes with strategic forecasting of key IT trends up to 2030, where the inevitability of the transition from monolithic isolated systems to open digital ecosystems managed by artificial intelligence algorithms and Zero Trust architecture is substantiated. The work is intended for researchers, IT architects, digital transformation project managers, and corporate governance specialists.
