Digital Technologies: Artificial Intelligence and Big Data in the Digitalization of the Russian Economy at the Present Stage

Author(s):  
Olga A. Burova ◽  
Ekaterina A. Dolgikh

It is reasonable to use digital technologies to organize and support an innovation system that simplify and promote interactions between innovation activity participants by performing a situational analysis of big volumes of structured and unstructured data on innovation activity subjects in the regions. The aim of the article is to substantiate the essence, peculiarities and features of integrating blockchain platforms with Big Data intelligent analytics for regional innovation development. The study was carried out as based on materials describing the development of this concept both in the whole world and its spread in the Russian economy.


2019 ◽  
Vol 71 ◽  
pp. 03004
Author(s):  
E.L. Sidorenko ◽  
A.A. Lykov

The authors of this paper consider promising areas of the corruption prevention using the latest digital technologies: Blockchain, Internet of Things, Artificial Intelligence and Big Data. The purpose of this research is the analysis of advantages of the digital economy development in terms of solving social problems and crime prevention. The authors also show functional digital models of the anti-corruption compliance are defined. In addition, the research results include the determination of some shortcomings of the proposed models associated with the imperfection of the current legislation.


2021 ◽  
Author(s):  
Oksana Butkevich ◽  

The article examines the impact of digital technologies on the organization of accounting for tax payments. It is noted that this area of accounting is one of the most difficult, which determines the relevance of the study of the impact of digital technologies on the organization of accounting for tax payments. The research methodology is based on general scientific methods of cognition: logical, systemic, induction, deduction, analysis. Any company seeks to optimize their size and avoid penalties when making calculations for tax payments. However, in practice, most companies do not pay due attention to the development and implementation of the necessary procedures for optimizing tax calculations. A prerequisite for the optimal tax policy of the enterprise is a rationally developed accounting policy. Formalization of accounting policy is carried out by approving the Order on accounting policy. When forming this internal regulation, it is expedient to single out the section "Organization of accounting for settlements with the budget for tax payments", which discloses the method of accounting for calculations of a tax or fee depending on the nature and specifics of the enterprise, its industry characteristics Of the Tax Code of Ukraine. In this section of the accounting policy of the enterprise it is expedient to include the Working plan of accounts and the schedule of document flow. The final stage of the organization of the account of calculations with the budget on tax payments is drawing up of the tax reporting and its representation. At this stage, the use of digital technologies can significantly reduce the time spent on filling out the appropriate forms of tax reporting, and their submission. The main software products used by modern enterprises in the organization of accounting for tax payments include: technology Artificial intelligence (artificial intelligence), Big Data (big data), Cloud technologies and computing (cloud technology and computing), Blockchain (blockchain). The use of digital technologies in the organization of accounting for tax payments is the key to improving the tax discipline of the enterprise, which in combination with a properly designed and formalized accounting policy of the enterprise avoids the cost of fines and other financial sanctions imposed by fiscal authorities.


Author(s):  
Viktor Ivanovich Abramov ◽  
Azizbek Kurbonov

In modern conditions of global competition and the rapid development of digital technologies, there is a need for new tools for assessing the solvency of bank customers and reducing credit risks, reducing costs and increasing the profitability of the bank. The features and prospects of using big data and predictive analytics are analyzed, theoretical aspects of using Artificial intelligence (AI) technologies are considered and their advantages for banks are analyzed. The goal is to reduce the share of problem loans and quickly determine the solvency of clients.


2021 ◽  
Vol 4 (4) ◽  
pp. 70-75
Author(s):  
Shoxida Mannonova ◽  

The article analyzes the features of the digital economy, the ecosystem, the effective use of digital technologies in the development of the economy and current issues in this area, as well as the necessary skills of training for the digital economy, modern professions that will be needed in the near future.Keywords:digital economy, big data, artificial intelligence, nanotechnology, quantum technologies, Internet of things, ecosystem, personnel, professional skills, skilled labor, businessmodels, joint educational programs


2021 ◽  
Vol 8 (1) ◽  
pp. 37-44
Author(s):  
Eduard B. Khatov

The article is devoted to the perspectives of digital technologies in crime analysis. According to the author, the key role of such analysis performed by prosecutors is played by artificial intelligence technologies, extra-big data, and electronic voice assistants. The need for their implementation, appropriate material and technical support, solutions for information security issues, as well as the training of prosecutors in the use of digital technologies, including the basics of programming and visualization of big data, were emphasized.


Author(s):  
M. Stashevskaya

The article contains a study of existing views on the economic content of big data. From among the views, within which the authors define big data, the descriptive-model, utility-digital and complex-technological approaches are formulated. Against the back- ground of the large-scale spread of digital technologies (machine learning, cloud computing, artificial intelligence, augmented and virtual reality, etc.), functioning thanks to big data, the study of their economic essence is becoming especially relevant. As a result, it was found that the basis of economic activity in the digital economy is big data. The definition of big data as a resource of the digital economy is proposed.


Author(s):  
Rohit Rastogi ◽  
Devendra K. Chaturvedi ◽  
Parul Singhal ◽  
Mayank Gupta

Digital technology is modernizing healthcare. Large volumes of data refer to big data by digitising health information that can quickly be processed by machines. Digital healthcare analysis is the ability to diagnose and suggest ways to reduce costs; provide quality patient care and outcomes, available 24/7; reach to patients located in vast distant geographical areas; and avert preventable diseases. Artificial intelligence (AI) is an autonomous real-time machine system in comparison to natural information analyzed by humans. Diabetes is a serious, under-reported, life-threatening disease affecting millions of people of all ages, and researchers have identified it to be a major public health problem that is approaching epidemic proportions globally. The purpose of this study is to investigate diabetes analysis from CAD and other diseases using the latest advanced digital technologies to analyze information extracted from IoT and big data and stress correlation (TTH) on human health.


2022 ◽  
pp. 526-551

The purpose of this chapter is to discuss strategies that can be applied in the domain of cyberlaw. The chapter begins by distinguishing between ethics, morality, and law. It then focuses on the relation between ethics and digital technologies. The chapter then examines proposals for what should be included in codes of ethics as well as examples of codes of ethics for IT companies. The examples include the British Computer Society, the Association for Computer Machinery, and the Data Processing Management Association. Next, ethical codes for regulating automation, computerization, and artificial intelligence are summarized. The chapter then discusses ethical issues surrounding privacy, anonymity, and personal data, including the EU's right of access by data subjects as well as issues connected with big data. The chapter then focuses on crimes caused by digitization and the protection of intellectual property. The chapter concludes by considering recent laws of ecommerce as well as social and international legal challenges of regulating cyberspace.


2020 ◽  
Vol 2020 ◽  
pp. 1-18 ◽  
Author(s):  
Maksut Senbekov ◽  
Timur Saliev ◽  
Zhanar Bukeyeva ◽  
Aigul Almabayeva ◽  
Marina Zhanaliyeva ◽  
...  

Background. The implementation of medical digital technologies can provide better accessibility and flexibility of healthcare for the public. It encompasses the availability of open information on the health, treatment, complications, and recent progress on biomedical research. At present, even in low-income countries, diagnostic and medical services are becoming more accessible and available. However, many issues related to digital health technologies remain unmet, including the reliability, safety, testing, and ethical aspects. Purpose. The aim of the review is to discuss and analyze the recent progress on the application of big data, artificial intelligence, telemedicine, block-chain platforms, smart devices in healthcare, and medical education. Basic Design. The publication search was carried out using Google Scholar, PubMed, Web of Sciences, Medline, Wiley Online Library, and CrossRef databases. The review highlights the applications of artificial intelligence, “big data,” telemedicine and block-chain technologies, and smart devices (internet of things) for solving the real problems in healthcare and medical education. Major Findings. We identified 252 papers related to the digital health area. However, the number of papers discussed in the review was limited to 152 due to the exclusion criteria. The literature search demonstrated that digital health technologies became highly sought due to recent pandemics, including COVID-19. The disastrous dissemination of COVID-19 through all continents triggered the need for fast and effective solutions to localize, manage, and treat the viral infection. In this regard, the use of telemedicine and other e-health technologies might help to lessen the pressure on healthcare systems. Summary. Digital platforms can help optimize diagnosis, consulting, and treatment of patients. However, due to the lack of official regulations and recommendations, the stakeholders, including private and governmental organizations, are facing the problem with adequate validation and approbation of novel digital health technologies. In this regard, proper scientific research is required before a digital product is deployed for the healthcare sector.


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