scholarly journals Digital Technologies for Assessing the Credit Capacity of the Bank’s Clients

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.

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.


2020 ◽  
Vol 179 ◽  
pp. 02050
Author(s):  
Yan-Xia Qu ◽  
Ming-Feng Wang

The rapid development of AI has affected the design process. The ability to analyze big data and AI’s efficiency, rapidity will bring great changes to the monitoring products especially for children. At present, the vast majority of intelligent child care products are based on the parental experience, designed in the aspect of parental supervision, and the children who use the product are often neglected. So change the way of designing, from the perspective of children using Intelligence technology, the ultimate child care products can play the most important role.


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):  
Cornelius J. P. Niemand ◽  
Kelvin Joseph Bwalya

The growth of the information management (IM) discipline and its importance in different socio-economic platforms cannot be over-emphasized. The current development of heterogeneous technologies shows that IM is the focal point of innovations such as blockchain, data science (big data, predictive analytics, etc.), artificial intelligence, automation, etc. This research was motivated by a desire to contribute towards establishing the intellectual identity of IM as a science and as a discipline. An exploration of the inventory of theories and conceptual frameworks enables us to have an understanding of the different methodologies currently being used and therefore define the level of development of the field as a discipline. This chapter aims to present the patterns and trends in theory conducted by different studies during the last 10 years (2009 – 2019). Using a bibliometric approach anchored on descriptive informetrics, the chapter explores the application of theory within the IM field.


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):  
Л. М. Мусина ◽  
М. М. Салтуганова ◽  
Л. А. Коровникова ◽  
В. А. Полшкова

Цифровизация экономики, стремительное развитие технологий, изменения на рынке труда и требования к подготовке кадров ведут к тому, что в будущем самыми востребованными станут профессии, связанные с высокими технологиями: IT специалисты, инженеры big data, программисты. Перед профессиональным и академическим сообществами стоит задача обновления содержания программ общего образования. Основные образовательные программы в части предметного содержания требуют усовершенствования. Для обновления содержания общего образования необходимо использовать не только передовые инновационные российские практики, но и результативный зарубежный опыт. Приведенный в статье анализ зарубежного опыта и практик показывает возрастающие темпы обновления предметного содержания с применением STEAM подхода, ориентированного на применение проектного обучения и освоение цифровых технологий, опираясь на развитие метапредметных навыков. Digitalisation of the economy, rapid development of technologies, changes in the labor market and requirements for personnel training lead to the most demanded future professions which will be related to high technologies, those being: IT specialists, big data engineers, programmers.Professional and academic associations today face the necessity to update general education programs. The main educational programs in terms of subject content require improvement. To update the content of general education, it is necessary to use the advanced innovative Russian practice together with effective foreign experience.The analysis of foreign experience and practices presented in the article demonstrate the increasing pace of updating the subject content using the STEAM approach, focused on the use of project-based learning and the development of digital technologies, supported by the development of meta disciplinary skills.


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.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Chunguang Li ◽  
Jianbiao Cui

All activities in training fields are for the improvement of athletes’ competitive abilities. A sports training system is an organizational system to achieve common goals. Competitive ability is one of the main manifestations of the evolution of the training system. With the rapid development of computer technology, people have begun to combine virtual reality and other technologies to achieve scientific sports-assisted training to eliminate traditional sports training that relied purely on experience. Pose estimation obtains the position, angle, and additional information about the human body in the image in a two-dimensional plane or three-dimensional space by establishing the mapping relationship between the human body features and the human body posture. This article demonstrates a golf-assisted training system to realize the transformation from an experience-based sports training method to a human motion analysis method, using artificial intelligence and big data. The swing posture parameters of the trainer and the coach are obtained using the posture estimation of a human body. Based on this information, an auxiliary training system is built. The two parameters of the joint angle trajectory and the posture similarity are used as auxiliary indicators to compare the trainers. The joint angle trajectory is analyzed, and the coach is guided based on the similarity of the posture.


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