scholarly journals Application of Artificial Intelligence in the Banking Sector

Author(s):  
Marina Nikolaevna Iakovleva

This article is devoted to the study of the role of artificial intelligence in the banking sector. Today, the introduction of new technologies in all spheres of life is a very relevant topic. The article reveals the concept of artificial intelligence as a factor in the development of the banking sector in particular and the economy as a whole. An overview of the use of the artificial intelligence system in banks in Russia and the world is presented.

2021 ◽  
Vol 16 (3) ◽  
pp. 35-53
Author(s):  
Camillo Giliberto ◽  

The World Bank data confirm that the recovery scenario will be different depending on the type of nation, the fundamentals of its economy, etc.. The Bank of Italy expects a growth of more than 4% for Italy at the end of 2021. The Italian banking system has shown great flexibility in dealing with the coronavirus emergency, taking a completely different form from the last in 2008 recession, when credit institutions were part of the problem. With their new social role, today in fact they are leading players. The health of the banking sector has also changed compared to 2008, with a stronger capital position, underlying the substantial resilience of the ecosystem and a more advanced expertise in NPL management. The role of the banks operating in Italy has been and will be to support firms, households and the growth of the economy with the sound and prudent distribution of credit, the offer of modern and efficient payment services thanks also to new technologies, business advice to companies for the development and internationalization. A clear evolution is opening up for banks in post-Covid towards digital business with a growing commitment in terms of investments in information technology.


2021 ◽  
Vol 118 ◽  
pp. 04014
Author(s):  
Anna Aleksandrovna Chebotareva ◽  
Natalya Gennadievna Kazantseva ◽  
Ekaterina Sergeevna Vologdina ◽  
Tatevik Vartanovna Grigorian ◽  
Irina Sergeevna Sukhanova

The purpose of this study is to analyze the legal framework and generalize the practical experience of world powers in the application of artificial intelligence technologies in the activities of customs services. The methodological basis of the study was made up of universal methods and special research methods, which made it possible to draw general conclusions and conduct a qualitative assessment of the relations studied in this work. The result of the research was the author’s understanding of the concept of “artificial intelligence in the field of customs”. The study also substantiates the conclusion about the need to improve the efficiency of customs control and accelerate customs operations with goods through the introduction of artificial intelligence into the work of customs services. Scientific novelty is characterized by the following provisions: 1) the experience of using artificial intelligence in some foreign countries, made it possible to state that there are unconditional advantages of using the artificial intelligence system in customs activities; 2) from the modern standpoint of complex branches of law, a legal conceptual apparatus has been formulated, which is used in the regulation of social relations in the course of the application of artificial intelligence technologies; 3) the generalization of the world experience of the accumulated intelligent technological solutions allows us to speak about the model of an “intelligent” checkpoint that is promising for innovative Russia.


The pandemic COVID-19 keep spreading all over the world after it first appeared in China in December 2019. COVID-19 became an international issue for the health service. The role of each individual in our society is important to fight against this pandemic, the exceptional effort and various measures have been done and took by the healthcare and government to minimize the spread of this disease. Despite all this effort made, the number of COVID-19 cases increase and put a lot of pressure on the healthcare system all over the world, this end leads to many cases of deaths. The diagnostic of this virus in the early stage will help to treat the infected patients and save their life. The use of new technologies especially Artificial Intelligence (AI) can help radiologists and physicians to make fast, early, and exact diagnoses of this disease. In this paper, we elaborate a comparative study of various implemented methods for the diagnostic of COVID-19 based on the AI. And especially we will focus on the systems that combine the AI methods and medical imaging such as X-ray and CT


2016 ◽  
Vol 2016 ◽  
pp. 1-7
Author(s):  
Mauro Castelli ◽  
Luca Manzoni ◽  
Aleš Popovič

Quality of service, that is, the waiting time that customers must endure in order to receive a service, is a critical performance aspect in private and public service organizations. Providing good service quality is particularly important in highly competitive sectors where similar services exist. In this paper, focusing on banking sector, we propose an artificial intelligence system for building a model for the prediction of service quality. While the traditional approach used for building analytical models relies on theories and assumptions about the problem at hand, we propose a novel approach for learning models from actual data. Thus, the proposed approach is not biased by the knowledge that experts may have about the problem, but it is completely based on the available data. The system is based on a recently defined variant of genetic programming that allows practitioners to include the concept of semantics in the search process. This will have beneficial effects on the search process and will produce analytical models that are based only on the data and not on domain-dependent knowledge.


Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein

New technologies like artificial intelligence, robotics, machine intelligence, and the Internet of Things are seeing repetitive tasks move away from humans to machines. Humans cannot become machines, but machines can become more human-like. The traditional model of educating workers for the workforce is fast becoming irrelevant. There is a massive need for the retooling of human workers. Humans need to be trained to remain focused in a society which is constantly getting bombarded with information. The two basic elements of physical and mental capacity are slowly being taken over by machines and artificial intelligence. This changes the fundamental role of the global workforce.


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