Abstract: An information infrastructure is part of the overall infrastructure of enterprises. It refers to hardware, software, data management technologies, network and telecommunication technologies and services as well as the staff involved in the management of provided services.
The aim of this article is to elucidate the characteristics of information infrastructure and related issues in the era of digital transformation. In terms of theoretical tasks, this implies defining the concept of "information infrastructure" and identifying opportunities for its development. Practical tasks relate to analyzing some of the problems that a large Bulgarian enterprise is facing in terms of its information infrastructure and proposing methods for assessing the costs of the information infrastructure in the enterprise. Our research focuses on ‘Sparky Eltos’ AD in Lovech and suggests some practical guidelines for analyzing problems and offering adequate solutions.
Abstract: The aim of this study is to present the experience in the management of enterprises at different levels: from optimising business processes to introducing strategic business development. We have analysed the experience in creating digital metallurgy in Russia and present the experience in implementing a smart system for monitoring and diagnostics of line equipment at the Alchevsk metallurgical plant. The article reviews major issues related to the introduction of artificial intelligence systems so as to exercise automated control over production processes. These issues refer to the deterioration and depreciation of production assets which is caused by the reallocation of funds for the modernisation of production and the unpreparedness of staff for the introduction of new systems. Digital technologies provide new opportunities for managing corporate resources and initiating profitable activities. The article also reviews applying Design Thinking techniques and tools to the training and education of specialists for the digital economy. Entrepreneurial skills, out-of-the-box thinking, the ability to work in teams and to make decisions are essential competencies which must be acquired by students during their academic training so that businesses could be prepared for their digital transformation.
Abstract: In contemporary business development, digital transformation has become a major challenge to big data management. In an environment of increasing volumes of data, the major factors that are crucial to business development relate to big data processing and analysis. Open-source data processing technologies employ an innovative approach to the design of data processing and data analytics tools in cooperation among developers, which ensures the transparency, accessibility and continuous improvement of those tools.
The main objective of this article is to review popular open-source technologies for big data processing and identify trends in employing big data in business applications.