About digital transformation of the transport industry in Russia

2020 ◽  
Vol 19 (3) ◽  
pp. 95-105
Author(s):  
Natalia V. Vysotskaya ◽  
T. V. Kyrbatskaya
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Data Science ◽  
Digital Transformation ◽  
Digital Culture ◽  
Blockchain Technology ◽  
Community Approach ◽  
Non Linear ◽  
Transport Industry ◽  
Artificial Intelligence Systems

The article is devoted to the consideration of the main directions of digital transformation of the transport industry in Russia. It is proposed in the process of digital transformation to integrate the community approach into the company's business model using blockchain technology and methods and results of data science; complement the new digital culture with a digital team and new communities that help management solve business problems; focus the attention of the company's management on its employees and develop those competencies in them that robots and artificial intelligence systems cannot implement: develop algorithmic, computable and non-linear thinking in all employees of the company.

scholarly journals Digital Transformation, AI Applications and IoTs in Blockchain Managing Commerce Secrets: And Cybersecurity Risk Solutions in the Era of Industry 4.0 and Further

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 04) ◽  
pp. 453-465
Author(s):  
Nguyen Dinh Trung ◽  
Dinh Tran Ngoc Huy ◽  
Le Thi Thanh Huong ◽  
Ta Van Thanh ◽  
Nguyen Thi Phuong Thanh ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Data Security ◽  
Industry 4.0 ◽  
Swot Analysis ◽  
Digital Transformation ◽  
High Data ◽  
Blockchain Technology ◽  
Inductive Methods ◽  
As Relationship

Once again in this study, we emphasizes strongly on applications of mathematical solutions for industrial uses. By using qualitative analysis, synthesis and inductive methods, together with statistic data, our paper target is to analyze aspects of SWOT analysis on blockchain technology and its opportunities for various industries and sectors in emerging markets such as Vietnam. This is based on the original foundation theory indicating that blockchain tech functioned as a mathematical solutions that can be applied for solving commerce secrets, with high data security and can be used for intellectual property. Among our research results is findings on the connection between IoTs - Internet of Things and blockchain tech, as well as relationship between AI - Artificial intelligence and blockchain tech. Last but not least authors propose cybersecurity risk solutions and there are policies implications attached.

scholarly journals Research on the impact of artificial intelligence on the business model of an organization

E-Management ◽  
2021 ◽  
Vol 3 (4) ◽  
pp. 26-36
Author(s):  
A. A. Dashkov ◽  
Yu. O. Nesterova
Keyword(s):  
Artificial Intelligence ◽  
Information And Communication Technologies ◽  
Business Model ◽  
Digital Transformation ◽  
Successful Implementation ◽  
New Ways Of Working ◽  
Use Of Technology ◽  
Physical Assets ◽  
The Moment ◽  
The Impact

The digital transformation of our world and the inevitable interaction between people, digital technologies and physical assets create a rapidly changing and complex environment that requires organizations to be more flexible, better fit and ready to accept new ways of working. Businesses are coming to realize the need for change to operate successfully in the digital age. In the period of global digitalization, information and communication technologies are one of the most important aspects of existence for a business, which makes it more efficient, efficient and allows you to respond quickly to a rapidly changing external environment, as well as customer needs. At the moment, there is a high interest in the possibilities of artificial intelligence for use in business tasks in the world, as there are already examples of successful implementation, when Artificial Intelligence and machine learning radically change the way they work and increase the profit of organizations in different countries.The purpose of this study is to consider how artificial intelligence affects the value proposition and how the elements of the business model change when using this technology. The paper gives the existing examples of the use of technology, the consequences of its application and the emerging prospects for the use of Artificial Intelligence as one of the advanced technologies of digital transformation.

The Effect of Artificial Intelligence on Management Process

2020 ◽  
pp. 22-41
Author(s):  
Mustafa Sundu ◽  
Sebnem Ozdemir
Keyword(s):  
Artificial Intelligence ◽  
Industry 4.0 ◽  
Data Science ◽  
Digital Transformation ◽  
Management Process ◽  
Science Department ◽  
Learning Set ◽  
Transformation Processes ◽  
Managerial Perspective

Artificial intelligence has started to dominantly affect every sector in Industry 4.0. However, the adaptation of the concept to managerial processes are closely related to the concepts of data science and digital transformation. Because artificial intelligence applications being developed are within the scope of artificial narrow intelligence (ANI), that situation requires the company to have a digital transformation policy in order to use artificial intelligence in managerial processes. In addition, to avoid biased artificial intelligence applications, the learning set of artificial intelligence requires a highly rigorous design. This necessitates the establishment of a data science department within the company. In this chapter, digital transformation processes in managerial perspective and the surrounded effect of artificial narrow intelligence on management are discussed.

scholarly journals The non-substitutability of local news?

2021 ◽  
Vol 42 (1) ◽  
pp. 1-14
Author(s):  
Helle Sjøvaag ◽  
Thomas Owren
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Digital Economy ◽  
Digital Transformation ◽  
Local News ◽  
Local Newspapers ◽  
Main Factors ◽  
Two Phases

Abstract This article addresses the challenges facing local newspapers as the digital economy transitions to artificial intelligence (AI). We interview five CEOs of Scandinavian newspaper corporations, representing small, mid-sized, and large newspaper chains. The analysis focuses on three main factors emerging from the interviews – technological transformations, digital advertising markets, and corporate enrolment – and how they relate to business model disruption and the non-substitutability of local news. The analysis is set within the framework of the digital transformation, which, for the purpose of this study, we argue consists of two phases: getting online (until about 2014), and algorithmic adaptation (the introduction of programmatic advertising and audience metrics from about 2014). The analysis concludes that as non-substitutability is lost on the advertising side of the market, this challenges the umbrella model of newspaper publishing.

scholarly journals ARTIFICIAL INTELLIGENCE TECHNOLOGY AND LAW: CHALLENGES OF OUR TIME

2020 ◽  
pp. 524-549
Author(s):  
Y. S. Kharitonova ◽  
◽  
V. S. Savina ◽  
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Intelligent Systems ◽  
Legal Regulation ◽  
Original Result ◽  
Legal Personality ◽  
Blockchain Technology ◽  
Legal Science ◽  
Artificial Intelligence Technology ◽  
Artificial Intelligence Systems

Introduction: the article deals with the issues concerning the protection of the rights to digital content created with the use of artificial intelligence technology and neural networks. This topic is becoming increasingly important with the development of the technologies and the expansion of their application in various areas of life. The problems of protecting the rights and legitimate interests of developers have come to the fore in intellectual property law. With the help of intelligent systems, there can be created not only legally protectable content but also other data, relations about which are also subject to protection. In this regard, of particular importance are the issues concerning the standardization of requirements for procedures and means of storing big data used in the development, testing and operation of artificial intelligence systems, as well as the use of blockchain technology. Purpose: based on an analysis of Russian and foreign scientific sources, to form an idea of the areas of legal regulation and the prospects for the application of artificial intelligence technology from a legal perspective. Methods: empirical methods of comparison, description, interpretation; theoretical methods of formal and dialectical logic; special scientific methods (legal-dogmatic and the method of interpretation of legal norms). Results: analysis of the practice of using artificial intelligence systems has shown that today intelligent algorithms include a variety of technologies that are based on or related to intelligent systems, but not always fall under the concept of classical artificial intelligence. Strictly speaking, classic artificial intelligence is only one of the intelligent system technologies. The results created by autonomous artificial intelligence have features of works. At the same time, there are some issues of a public law nature that require resolution: obtaining consent to data processing from the subjects of this data, determining the legal personality of these persons, establishing legal liability in connection with the unfair use of data obtained for decision-making. Standardization in the sphere and application of blockchain technology could help in resolving these issues. Conclusions: in connection with the identified and constantly changing composition of high technologies that fall under the definition of artificial intelligence, there arise various issues, which can be divided into some groups. A number of issues of legal regulation in this area have already been resolved and are no longer of relevance for advanced legal science (legal personality of artificial intelligence technology); some issues can be resolved using existing legal mechanisms (analysis of personal data and other information in course of applying computational intelligence technology for decision-making); some other issues require new approaches from legal science (development of a sui generis legal regime for the results of artificial intelligence technology, provided that the original result is obtained).

Global digitalization of sociocultural reproduction: “deus ex machina” or the end of the human era?

2021 ◽  
pp. 121-132
Author(s):  
Irina Mikailova
Keyword(s):  
Artificial Intelligence ◽  
Human Brain ◽  
Human Nature ◽  
Methodological Approach ◽  
Digital Transformation ◽  
Digital Culture ◽  
Collective Consciousness ◽  
Cultural Ideals ◽  
The Law ◽  
Self Organizing

The article is focused on discussing the new methodological approach from the terms of Synergetic Historicism, to the study on specifics of reproducing digital culture and its influence on individual and collective consciousness. The results of the investigation in question based on the Method of Dual Oppositions and the Law of Self-Organizing Social and Cultural Ideals, showed that the global digital transformation toward substituting the biological human brain for Artificial Intelligence threaten Humanity not only with the irreversible transformation of human nature, but also with the end of Human Era. The results of the analysis as deconstructive implications for the reproduction of digital culture in recent years indicate that the selected path contributes to deepen the divide between digital culture and the subjects of reproduction, as well as the worsening of the problem, which was initially focused digitization process.

Digital Transformation Journey of HR

2022 ◽  
pp. 94-115
Author(s):  
Tuğba Karaboğa ◽  
Hasan Aykut Karaboğa ◽  
Dogan Basar ◽  
Songul Zehir
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Human Resources ◽  
Digital Transformation ◽  
Digital Culture ◽  
Digital Workplace ◽  
Digital Platforms ◽  
Digital Management ◽  
Employee Experience

Big data and artificial intelligence (AI) technologies have changed how we live, how we work, and how we organize businesses. Thus, it is no surprise that it is also changing how we manage human resources (HR). For HR leaders, digital transformation is a very hot topic, having the potential to create high value for businesses. First, HR can transform all functions, processes, and systems by leveraging digital platforms and applications. Second, HR can lead business digitalization, enabling a compelling employee experience where a digital culture, a digital workplace, and digital management are welcomed. To provide a more pragmatic perspective, this chapter discusses digitalization of HR with big data and artificial intelligence (AI) technologies and identifies key digital HR strategies and roles needed to sustain the digital transformation. Also, this chapter presents the advantages of digital HR and the basic pitfalls HR faces in the digital transformation of HR.

scholarly journals Artificial intelligence in banks today: Experience and perspectives

2020 ◽  
Vol 25 (2) ◽  
pp. 230-242
Author(s):  
E.D. Butenko
Keyword(s):  
Artificial Intelligence ◽  
Information Processing ◽  
Customer Service ◽  
Virtual Worlds ◽  
Digital Transformation ◽  
Multilevel Structure ◽  
Business Efficiency ◽  
Modern Technologies ◽  
Artificial Intelligence Systems

Subject. This article discusses the application of tools of information processing, introduction of modern technologies, including tools of digital transformation, which today is of current importance for the financial sector. Objectives. The article aims to investigate the problems of application of artificial intelligence systems, real and virtual worlds pairing. Methods. For the study, I used the methods of logical and statistical analyses. Results In this article, I present my own scheme of multilevel structure of application of artificial intelligence systems in banks today, tomorrow and in the long-term perspective. Conclusions. Artificial intelligence systems in business will lead to fundamental changes in customer service and radical improvement of business efficiency through the use of modern technologies.

Embracing Emerging Technologies and Artificial Intelligence into the undergraduate accounting curriculum: reflections from the UAE

2021 ◽  
Author(s):  
Amer Qasim ◽  
Ghaleb El Refae ◽  
Shorouq Eletter
Keyword(s):  
Artificial Intelligence ◽  
United Arab Emirates ◽  
Data Analytics ◽  
Business Environment ◽  
Digital Transformation ◽  
Job Market ◽  
Current Accounting ◽  
Blockchain Technology ◽  
Accounting Curriculum ◽  
Accounting Graduates

This study explores the implications of market digital transformation in the United Arab Emirates (UAE) for the undergraduate accounting curriculum. Responding to a number of government initiatives towards artificial intelligence (AI) transformation, corporations and government agencies in the UAE have recently started to test and adopt AI, Blockchain Technology (BT) and Data Analytics (DA) in their operations. This digital transformation in the business environment raises concerns as to whether existing accounting curricula are preparing accounting graduates for the emerging IT needs relevant to the existing accounting job market. To this end, this study explores the extent to which the current accounting curriculum in the UAE reflects the current digital transformation in the country.

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