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1
Musatova, S. A. "Role of emotional intelligence in PR specialist’s career." Vestnik Universiteta, no. 10 (December 7, 2023): 256–62. http://dx.doi.org/10.26425/1816-4277-2023-10-256-262.
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The article studies the relevance of the problems of emotional intelligence (EI) in the framework of PR-specialist’s career. The article presents concepts of emotional intelligence from the point of understanding specifics of the phenomenon, considers the typology of EI models, and investigates the problem of measuring emotional intelligence and prospects for developing this type of intelligence in PR-specialists. Emotional intelligence is a person’s ability to recognize and understand their own emotions, explain them, and, using the same ability, understand emotional reactions of others. The role of EI in PR-specialist’s career from the point of competence approach to professional activity has been considered. Vacancies content analysis data with employers’ requirements to the PR-specialist position have been compiled, table of references to personal qualities that can be attributed to the EI sphere made, and theoretical analysis of emotional intelligence carried out.
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Katsuki, Masahito, Tomokazu Shimazu, Shoji Kikui, Daisuke Danno, Junichi Miyahara, Ryusaku Takeshima, Eriko Takeshima, et al. "Developing an artificial intelligence-based headache diagnostic model and its utility for non-specialists’ diagnostic accuracy." Cephalalgia 43, no. 5 (April 18, 2023): 033310242311569. http://dx.doi.org/10.1177/03331024231156925.
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Background Misdiagnoses of headache disorders are a serious issue. Therefore, we developed an artificial intelligence-based headache diagnosis model using a large questionnaire database in a specialized headache hospital. Methods Phase 1: We developed an artificial intelligence model based on a retrospective investigation of 4000 patients (2800 training and 1200 test dataset) diagnosed by headache specialists. Phase 2: The model’s efficacy and accuracy were validated. Five non-headache specialists first diagnosed headaches in 50 patients, who were then re-diagnosed using AI. The ground truth was the diagnosis by headache specialists. The diagnostic performance and concordance rates between headache specialists and non-specialists with or without artificial intelligence were evaluated. Results Phase 1: The model’s macro-average accuracy, sensitivity (recall), specificity, precision, and F values were 76.25%, 56.26%, 92.16%, 61.24%, and 56.88%, respectively, for the test dataset. Phase 2: Five non-specialists diagnosed headaches without artificial intelligence with 46% overall accuracy and 0.212 kappa for the ground truth. The statistically improved values with artificial intelligence were 83.20% and 0.678, respectively. Other diagnostic indexes were also improved. Conclusions Artificial intelligence improved the non-specialist diagnostic performance. Given the model’s limitations based on the data from a single center and the low diagnostic accuracy for secondary headaches, further data collection and validation are needed.
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Rajasinghe, Hiranya A., Larry E. Miller, Santiago H. Chahwan, and Alvaro J. Zamora. "Underutilization of Artificial Intelligence by Vascular Specialists." Annals of Vascular Surgery 61 (November 2019): 2–3. http://dx.doi.org/10.1016/j.avsg.2019.10.006.
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Shlivko, Irena L., Oxana Ye Garanina, Irina A. Klemenova, Kseniia A. Uskova, Anna M. Mironycheva, Veniamin I. Dardyk, and Viktor N. Laskov. "Artificial intelligence: how it works and criteria for assessment." Consilium Medicum 23, no. 8 (August 15, 2021): 626–32. http://dx.doi.org/10.26442/20751753.2021.8.201148.
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Artificial intelligence is a term used to describe computer technology in the modeling of intelligent behavior and critical thinking comparable to that of humans. To date, some of the first areas of medicine to be influenced by advances in artificial intelligence technologies will be those most dependent on imaging. These include ophthalmology, radiology, and dermatology. In connection with the emergence of numerous medical applications, scientists have formulated criteria for their assessment. This list included: clinical validation, regular application updates, functional focus, cost, availability of an information block for specialists and patients, compliance with the conditions of government regulation, and registration. One of the applications that meet all the requirements is the ProRodinki software package, developed for use by patients and specialists in the Russian Federation. Taking into account a widespread and rapidly developing competitive environment, it is necessary to soberly treat the resources of such applications, not exaggerating their capabilities and not considering them as a substitute for a specialist.
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Sorokina, G. P., E. A. Dolgikh, and T. A. Pershina. "Competence analysis of artificial intelligence professionals." Vestnik Universiteta, no. 4 (June 1, 2022): 81–89. http://dx.doi.org/10.26425/1816-4277-2022-4-81-89.
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In the conditions of digitalisation, it is necessary to have the appropriate skills. Therefore, many applicants choose occupations in which information technology (IT) and programming knowledge is predominant. Comprehensive measures for preparing graduates in the context of digitalisation cover the formation of appropriate educational programmes. The aim of the study is to provide recommendations for improving the educational process in the field of artificial intelligence (AI) and machine learning based on comparing various programmes affecting the training of professionals in this field. The research uses the following methods. First, it is a sample survey, due to which 4 Russian universities that provide training in programmes in IT, are selected. Second, this is grouping and typology of basic educational curricula, professional standards and disciplines, due to which appropriate typological groupings, are constructed. That allows specifying requirements for knowledge, skills, and abilities necessary for specialists in the field of AI. A comparative analysis of professional standards taking into account the work of a modern specialist with digital skills has been carried out. The competence approach in the educational process has been defined, and the need for a professional standard for IT specialists has been identified. Based on the results obtained, recommendations have been prepared on the basic disciplines that need to be included in the educational programmes of universities to prepare competitive graduates.
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Zaytsev, Sergey V. "CYBERSECURITY ISSUES BASED ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING METHODS." SOFT MEASUREMENTS AND COMPUTING 7/2, no. 68 (2023): 48–61. http://dx.doi.org/10.36871/2618-9976.2023.07-2.006.
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Since the middle of the last century, the active development of artificial intelligence (AI) technologies has begun. However, with the development of this technology, people realized that they did not have such an opportunity, since the human brain is multifaceted and complex. However, we can approach those mental abilities that are routine for a person, but require long and monotonous work. AI wins a person in the speed of processing a large amount of the same type of information. Where a cybersecurity specialist will have to sit for a long time and look at the same information, AI can cope in minutes or even seconds. In the presence of competent specialists, this technology has a great potential for development. There are already technologies for finding vulnerabilities using machine learning. They help companies and cybersecurity specialists respond more quickly to cyber attacks. The essential advantages of such programs are the speed of response to the threat. At the present stage of development, machines can monitor and analyze typical user behavior, even the usual keyboard shortcuts that he uses in his work.
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Shumkov, Ihor. "The State of Formation of Professional Competence of Future Military Intelligence Specialists in the Informational and Educational Environment Higher Military Educational Institution (HMEI)." Educological discourse 43, no. 4 (2023): 169–79. http://dx.doi.org/10.28925/2312-5829.2023.410.
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The article examines certain features of the training of future military intelligence officers, taking into account the specifics of their future professional activity, the organization of the educational process, and the conceptual principles of their training in higher military educational institutions. The state of formation of the professional competence of future military intelligence specialists in the informational and educational environment of HMEI was clarified. The purpose of the article is to study the state of formation of professional competence of future military intelligence specialists in the information and educational environment of HMEI The research, in accordance with the tasks and the verification of the initial assumptions, used the following research methods that complemented each other: conversations, analysis, synthesis, comparison, induction, deduction, generalization, systematization, interviewing, questionnaires, testing, diagnostics to study the state problems and ascertaining the state of formation of professional competence of future specialists. The results. It has been found that the professional training of future military intelligence specialists at a higher military educational institution needs further adjustment, identification of organizational and pedagogical conditions for the formation of professional competence of future military intelligence specialists in the information and educational environment of HMEI, improvement of the information and educational environment of HMEI, improvement of the implementation of digital technologies in the organization of the educational process of HMEI, the development of educational and methodological complexes for the training of future military intelligence specialists. Conclusions. Thus, the formation of professional competence of future military intelligence specialists should be oriented towards the creation of a favorable information and educational environment of higher education institutions with the introduction of information and digital tools, interactive teaching methods, updating of educational and methodological support in accordance with the requirements of educational services in the field of military education, improvement of pedagogical psychological approaches to the educational process to acquire thorough professional skills and practical skills for future professional activity.
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Rajasinghe, Hiranya A., Larry E. Miller, Santiago H. Chahwan, and Alvaro J. Zamora. "TOI 2. Underutilization of Artificial Intelligence by Vascular Specialists." Journal of Vascular Surgery 68, no. 5 (November 2018): e148-e149. http://dx.doi.org/10.1016/j.jvs.2018.08.099.
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Kovalchuk, Vasyl, Ivan Prylepa, Oleksandra Chubrei, Inna Marynchenko, Vitalii Opanasenko, and Yevhenii Marynchenko. "Development of Emotional Intelligence of Future Teachers of Professional Training." International Journal of Early Childhood Special Education 14, no. 1 (March 17, 2022): 39–51. http://dx.doi.org/10.9756/int-jecse/v14i1.221006.
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The problem of the development of emotional intelligence of future specialists in vocational education is investigated. It is established that emotional intelligence is the subject of scientific knowledge of modern domestic and foreign research. Based on the analysis of scientific and pedagogical works of scientists and the real practice of emotional intelligence, it is established that the modern labor market needs workers with a set of technical, soft, and social skills that can change according to the requirements associated with work. It has been proven that investing in skills development is critical in a country's economic growth and competitiveness. Among the necessary skills of a modern specialist, we have identified: comprehensive problem solving, critical thinking, mobility, creativity, leadership, time management, coordination with others, emotional intelligence, judgment and decision making, guidance service, negotiation, cognitive flexibility. At the theoretical level, the psychological features of the formation of emotional intelligence of future professionals in the specialization 015.36 - Vocational education are substantiated, the technology of light industry products and 015.37 - Vocational education. Agricultural production, processing of farm products, and food technology have scientifically identified ways to form emotional intelligence (involving future teachers of vocational training in various activities: game, project, cooperative, research; establishing parity in the system of interaction "student - student," "teacher - group of students," "student - group of students "; introduction of active teaching methods ("openwork saw," "pyramid," "brainstorming," etc.). The article substantiates the need and possibilities of forming the emotional intelligence of the future specialist during the student period.
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Raheja, Saloni, and Babli Dhiman. "How do emotional intelligence and behavioral biases of investors determine their investment decisions?" Rajagiri Management Journal 14, no. 1 (May 4, 2020): 35–47. http://dx.doi.org/10.1108/ramj-12-2019-0027.
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Purpose In earlier studies, research has shown that EI is the only element, which influences the ways in which people develop in their lives, jobs and social skills control their emotions and get along with other people. It is EI that dictates the way people deal with one another and understand emotions. The research gap is to explore the impact of behavioral factors and investors psychology on their investment decision-making. Design/methodology/approach The information was gathered from 500 financial specialists. The region of research was the financial specialists who contribute through LSC Securities Ltd. in Punjab State. The purposive testing system was used in this examination. Findings The investigation found that the positive connection between the conduct predispositions of the financial specialists and venture choices of the speculators and positive connection between enthusiastic insight of the financial specialists and their venture choices. Yet, the authors found that the enthusiastic insight better foresees the venture choices of the financial specialists than the conduct predispositions of the speculators. Among the different elements of conduct inclinations of the speculator’s lament and carelessness are identified with the financial specialist’s venture choices. Among the various estimations of eager understanding – care, dealing with emotions, motivation, empathy and social aptitudes are related to the hypothesis decisions of the monetary pros. Research limitations/implications The sample selection was based on purposive sampling, rather than a random probability sample. The sample was area specific, restricted only to Ludhiana Stock Exchange in Punjab state. Therefore, the results of the study cannot be generalized with certainty to all the investors investing through other exchanges in other states. The inferences are based on the assumption that the data provided by the investors are true and correct. The findings may be relevant for other stock exchanges as that of the Ludhiana Stock Exchange. However, the authors do not claim the generalization of the results. Practical implications This study also helps to understand the relationship between investment decision-making and risk tolerance of investors. It will helpful for the financial advisors to know the behavioral biases of investors while making an investment decision, and therefore, they can advise investors properly to mitigate such biases. It may help the investors in understanding the subjective part of their behavior and control their emotions while taking decisions for their investment in stock market options. Social implications This research will help investment advisors and finance professionals to judge investors’ attitudes toward risk in a better way, which leads to better investment decisions. Originality/value This study is my own study and it is original and has not been published anywhere.
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Maksуmenko, Yuriy, Valery Skachkov, Anatoliy Buz, Danilo Sharshatkin, and Sergiy Povzun. "ANALYSIS OF THE WORK OF THE ANALYTICAL DEVICE OF MILITARY INTELLIGENCE." Collection of scientific works of Odesa Military Academy, no. 15 (September 30, 2021): 21–27. http://dx.doi.org/10.37129/2313-7509.2021.15.21-27.
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A study of problems of development of analytical vehicle is in-process undertaken in the system of military secret service, it is shown that research and information activity and her role, taking into account the height of globalization, modern technologies, but at the same time in the conditions of existent disorganization of society, grows unceasingly. It is marked that for the quality, timely and effective acceptance of administrative decision, especially in-process vehicle of military secret service in the conditions of vagueness and crisis phenomena, it is necessary to have the prepared specialists super. Therefore in modern terms reconnaissance-analytical activity must be accompanied by preparation of specialists able to accept any decision whether that at the level of ministry, whether that at the level of their, or at the level of subdivision. Yes, exactly on analytical-reconnaissance activity of every specialist the quality battle job processing depends not only his subdivision but also all vehicle of management of military secret service. Researches of problems of improvement and development of analytical vehicle showed in the system of military secret service, that theoretical bases of research and information activity are exposed not enough, namely: requirement to the level of professional preparation of analyst, abilities quickly and qualitatively to diagnose information and make the reliable prediction, supported by the legal adjusting of high level, providing high quality of his work. The aim of the article is research of work of analytical vehicle of military secret service and analysis of totality of actions of specialists-analysts with the purpose of ground and acceptance of commander decision on the conduct of successful battle actions, because the all-round evaluation of possibilities of the theoretical and practical battle job processing depends on a quality decision-making. Keywords: research and information activity, stereotype ideas, administrative decision, universal means, modern technologies, algorithm of actions, system of military secret service.
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Amna Saleem, Shabnam Noor, Dr Farah Deeba,. "Exploring Association Between Emotional Intelligence And Job Satisfaction Of Subject Specialists." Psychology and Education Journal 58, no. 1 (January 16, 2021): 3965–82. http://dx.doi.org/10.17762/pae.v58i1.1439.
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The purpose of the present study was to explore the association between emotional intelligence and job satisfaction of subject specialists of public higher secondary schools of district Lahore. For this purpose, a five-point Likert type scale, an emotional intelligence scale, and a Job Satisfaction Scale was used to measure emotional intelligence and job satisfaction respectively. The demographic variables were gender, locality, subject, academic qualification, age, and teaching experience whose percentages were calculated. Each scale was split into four components of each variable and then percentage responses mean, standard deviation, skewness, and kurtosis were applied to study the statistics of these variables. The mean score of financial matters was the lowest and that of understanding was the highest. The zero value of skewness and kurtosis showed that the data was normal. Furthermore, an independent sample t-test was applied to find the comparison of two variables based on gender discipline, marital status, and locality. ANOVA was used to find out the comparison of more than two variables academic qualification, age, and teaching experience. Correlation between the two variables the Emotional Intelligence and Job Satisfaction was calculated by using Pearson’s coefficient which showed that there was a positive significant strong correlation between these two variables. Further regression analysis was done to find the description of the effect. There was a significant effect of emotional intelligence on job satisfaction. Independent variable managing was the best predictor of job satisfaction.
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Breus, Yuliia. "Emotional Intelligence as a Personal Resource of Professional Becoming of Specialists of Socionomic Professions." SOCIETY, INTEGRATION, EDUCATION. Proceedings of the International Scientific Conference 1 (July 24, 2015): 65. http://dx.doi.org/10.17770/sie2014vol1.793.
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<p>The article presents the theoretical analysis of the problem of emotional intelligence as a personal resource of professional becoming of specialists of socionomic professions. The author's structural-functional model of emotional intelligence is presented. It shows the levels of functioning, functional characteristics, emotional competencies and substantial characteristics of emotional intelligence. The influence of emotional competences on professional activities of specialists of socionomic professions is analyzed. Such emotional competences are described: the ability to understand own emotions and emotions of others, the ability to demonstrate emotional attitude to situations and other people adequately; the productive interaction and psychological flexibility in relations with others.</p>
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Kolesnikova, Tatiana V., and Elena A. Rudaya. "MODELING INTERNATIONAL CONTRACT NEGOTIATION SOFTWARE FOR THE PURPOSES OF TRAINING SPECIALISTS IN FOREIGN ECONOMIC ACTIVITY." Economy of the North-West: problems and prospects of development 2, no. 69 (September 30, 2022): 49–53. http://dx.doi.org/10.52897/2411-4588-2022-2-49-53.
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Social sustainability and development of Russian international economic ties depends on many factors, with human resources taking the leading role. The ability to build solid long-term and mutually beneficial economic relations with foreign counterparts is considered to be one of the key competencies of a specialist in foreign economic activity. In this regard, the priorities of the Russian higher education system include the training of modern-day specialists with competencies in the field of entrepreneurship, international business communication, emotional intelligence, who are able to work with state-of-the-art technologies. This article is devoted to the study of how international contract negotiation software (AI chatbot) has been implemented in the educational process in Saint-Petersburg State University of Aerospace Instrumentation (SUAI). The article presents the key provisions on the specifics of training specialists in the sphere of international economic activity, then it proceeds to the structure of international negotiation process preceding the conclusion of an international sales contract and, finally, to the history of developing the artificial intelligence chatbot software that allows SUAI students to build the skills of negotiating international trade contracts with foreign partners in the English language.
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Familyarskaya, Larissa. "USAGE OF ARTIFICIAL INTELLIGENCE IN PRESCHOOL EDUCATION INSTITUTION." OPEN EDUCATIONAL E-ENVIRONMENT OF MODERN UNIVERSITY, no. 16 (2024): 216–28. http://dx.doi.org/10.28925/2414-0325.2024.1614.
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Artificial intelligence technology plays a decisive role in various spheres of life, including education. Modern preschools are faced with the need to adapt to the requirements of the modern world, where technology is a mandatory component. The article defines the regulatory and legal principles of using artificial intelligence technologies in the field of education. Based on the study and systematization of the results of scientific research, directions and methods of using artificial intelligence in the educational field have been identified. Scientific-pedagogical guidelines for the use of generative models of artificial intelligence in a preschool education institution are justified from the author's point of view. Modern possibilities of using artificial intelligence technology in the educational process of a preschool education institution are presented, in particular, the features of using artificial intelligence by parents of preschool children. Also, practical aspects of the use of artificial intelligence by specialists in a preschool education institution are proposed, in particular, ChatGPT, Quillbot, Google Gemini, Vocal Remover. The importance of the right approach to the implementation of artificial intelligence in the educational process to ensure efficiency and safety for children is emphasized. The results of the surveys of parents of preschoolers and specialists of preschool education institutions regarding the potential of using artificial intelligence in preschool education for the development of children are summarized, which requires a careful approach and cooperation between teachers, parents, and the administration of preschool education institutions. The use of artificial intelligence in preschool education is a promising direction that can provide support for preschool education specialists, make the learning process more interesting for children, and contribute to their intellectual development. Therefore, research and development of practices for the use of artificial intelligence in preschool education is an important component of the effective implementation of these technologies.
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Posokhova, Aleksandra L., Natal'ya D. Ul'yanova, and Elena M. Milyutina. "TRENDS OF CHANGES IN THE LABOR MARKET FOR GRADUATES OF IT SPECIALTIES AND EMPLOYMENT OPPORTUNITIES IN STACK 1C." Krasnoyarsk Science 13, no. 1 (March 29, 2024): 103–19. http://dx.doi.org/10.12731/2070-7568-2024-13-1-237.
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Changes in the labor market are constantly occurring, and the IT specialist market is no exception. In this field, it is important to follow new trends in order to remain in demand as a specialist. In recent years, the demand for IT specialists has continued to grow, especially in the fields of software development, artificial intelligence, machine learning and cybersecurity. This opens up great opportunities for graduates of IT fields, especially in the light of universal digitalization and the transition to remote work. Currently, the market in the IT sector is striving for saturation, the offer of vacancies practically corresponds to demand. Employers are interested in mid- and high-level specialists. Applicants for IT professions require high salaries. For successful employment, you need to be a professional or go into scarce areas. The most in-demand and almost the only IT field where there is a shortage of specialists is 1C. The labor market in 1C is characterized by an excess of vacancies in relation to available resumes. A future specialist in this field should have skills in 1C programming, have knowledge in the subject areas of economics and continuously engage in their professional growth. Purpose – identification of trends in the labor market of IT specialties and employment prospects in the 1C stack. Methodology: the article used methods of analysis and synthesis of statistical information, methods of comparison and generalization. Results: the trend of increasing demand for 1C specialists in the labor market has been revealed. Practical implications it is advisable to apply the obtained results to enterprises, industries, municipalities, regions that monitor the labor market and the education system.
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Lysikova, Natalia P. "Vulnerability of cultural codes as threat to the existence of civilization." Izvestiya of Saratov University. Sociology. Politology 23, no. 4 (November 22, 2023): 412–16. http://dx.doi.org/10.18500/1818-9601-2023-23-4-412-416.
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The article deals with the consequences of the vulnerability of cultural codes as an actual threat to the existence of human civilization with the uncontrolled and unreasonable use of artificial intelligence. Positive as well as negative options for the interaction of artificial intelligence with cultural codes that level the understanding of the basic universals of human behavior, communication, and activity are analyzed. The influence of the human factor on the use of acquired skills by strong artificial intelligence in non-standard conditions, the responsibility of a particular specialist for the quality and quantity of input data under the influence of his gender, confessional, national, racial, cultural and linguistic characteristics, leading the system to erroneous actions and conclusions, are investigated. The negative consequences of an uncritical perception of reality, the inability of a modern person to distinguish content from fakes that are becoming massive, replacing the existing reality, used for unseemly and criminal purposes are considered. The necessity of state regulation of the ethical behavior of business engaged in the development and implementation of artificial intelligence technologies, the establishment of ethical behavior standards in this innovative area, the signing of the Code of Ethics of Artificial Intelligence, adopted by representatives of leading domestic companies, are substantiated. The practical implementation of the areas of training of highly qualified IT specialists presented in it at universities, the system of additional education with the acquisition of demanded professions of specialists in data analysis and processing, ensuring the operation of corporate information systems, data analysis in the field of education, programmers, including at the Saratov National Research State University named after N.G. Chernyshevsky, Saratov State University of Genetics, Biotechnology and Engineering named after N. I. Vavilov.
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Mao, Yuze. "Current state and future development of artificial intelligence in marketing." Applied and Computational Engineering 6, no. 1 (June 14, 2023): 641–46. http://dx.doi.org/10.54254/2755-2721/6/20230884.
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Artificial intelligence (AI) has emerged as a trend in various industries. In the marketing field, artificial intelligence has been the main driver of its growth and an important tool for companies, organisations, and marketing specialists. However, there is a gap between the existing AI research and the actual application of the technologies in marketing. To bridge the gap, this study focuses on the current state of research on artificial intelligence in marketing and AI technologies used in marketing. Research articles on this topic are searched from the ScienceDirect database and the IEEE Xplore database and the non-empirical studies are filtered out by selection criteria. Then the selected articles are analysed using the method of bibliometrics and content analysis. This study describes the landscape of research in artificial intelligence in marketing, summarises AI technologies applied in the marketing field, provides advice on applying AI applications to marketing for marketing specialists, and presents future research directions for AI specialists. Results show that the application of AI in marketing will increase fast in the coming years. In particular, companies and organisations may greatly benefit from the use of AI technology in marketing to increase sales, cut costs, improve firm productivity, boost innovation, and achieve organisational goals.
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Neizvestny, Sergey. "Social Aspects of the Consequences of Artificial Intelligence Decision Making in a Digital Society." Sociological Journal 27, no. 2 (June 29, 2021): 90–108. http://dx.doi.org/10.19181/socjour.2021.27.2.8088.
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In recent decades, almost all areas of human activity are undergoing rapid digitalization and the introduction of artificial intelligence, which fundamentally affect social relations within society. In addition to the obvious benefits of using human-like intelligence in the modern digital world, there may also be negative consequences associated, first of all, with the processes of making important, large-scale management decisions by the cyber-management of a digital society. The problem of the impact on social security of decision-making by artificial intelligence in a digital society has not been sufficiently studied. The article considers the main social aspects of the problems related to the consequences of artificial intelligence making decisions. The main focus is the impact of decisions made by cyber managers on the social stability of a digital society. Some features of the emerging social relations “human – artificial intelligence”, “Manager – Cyber-manager” are considered. Based on analyzing the impact of the consequences of decision-making by artificial intelligence on social relations, a number of changes in the training system for digitalization processes are proposed, and requirements for the competence of specialists in developing and operating human-like intelligence are formulated. Based on the practical requirements of the modern IT sphere, the author has developed and introduced into the educational process a number of cycles of interdisciplinary lectures and practical seminars for future IT specialists in a digital society. A number of solutions to pedagogical problems related to the development of the analytical and creative abilities of future specialists, of architects and developers of cyber-systems and of managerial decision-making are proposed.
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Gatto, Dacyr Dante de Oliveira, and Renato José Sassi. "Subjectivity reducing in software version criticality classification with the support of an expert system." Research, Society and Development 11, no. 1 (January 9, 2022): e37811125132. http://dx.doi.org/10.33448/rsd-v11i1.25132.
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In the software version release management process, there is a need, on the part of human specialists, to classify the criticality of each software version. However, the subjectivity of this classification may be present according to the experience acquired by specialists over the years. To reduce subjectivity in the process, an Artificial Intelligence technique called Expert System (ES) can be applied to represent the knowledge of human specialists and use it in problem solving. Thus, the aim of this paper was to reduce the subjectivity in the criticality classification of the software version with the support of the Expert System. To this end, a questionnaire was developed with the objective of obtaining the criticality opinions classified as High, Medium and Low in each specialist's software version to assist in the preparation of the ES production rules. ES generated 17 production rules with a 100% confidence level applied to a production database. The results of the classification carried out by the ES corresponded to the classification carried out by the specialists in the production base, that is, the ES was able to represent their knowledge. Then, another questionnaire was applied to the specialists to verify the perception of satisfaction regarding the use of the ES with a result obtained of 4.8, considered satisfactory. It was concluded, then, that the ES supported the reduction of subjectivity in the classification of the criticality of software version.
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Makhmudova, Irina N. "Reasons for the professional deformation of intelligence officers." Vestnik of Samara University. Economics and Management 12, no. 2 (August 5, 2021): 147–53. http://dx.doi.org/10.18287/2542-0461-2021-12-2-147-153.
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The article reveals the psychological mechanism of professional and psychological behavior ofintelligence officers in conditions of risk. Professional deformation is associated mainly with the specifics of theprofession, the situation in which special services specialists have to work. The motives of the readiness to act in theregime of extreme danger and increased danger are revealed. The factors influencing the specifics of the behavior of different employees to act differently in the same situations are described. The theoretical understanding of personality and internal locus-control is given. In this regard, these motives and non-motives of risk are revealed, as well as risk for the sake of. The reasons why there is a probability of personnel risks in the organization are revealed. A comparative characteristic of the concepts of "stress resistance" and "self-control" is given. The influence of the propensity of aspecial services specialist to take risks on his psychological readiness to take action in the extreme mode is shown. The relationship between risk readiness and motivation to avoid failures is described. An explanation is given why older employees are less prepared for risky actions in non-standard situations.
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Ren, Pei-Fang, Chen-Ying Yu, Li-Li Zhu, Wei-Hua Yang, and Ye Shen. "Evaluation of a novel deep learning based screening system for pathologic myopia." International Journal of Ophthalmology 16, no. 9 (September 18, 2023): 1417–23. http://dx.doi.org/10.18240/ijo.2023.09.07.
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AIM: To evaluate the clinical application value of the artificial intelligence assisted pathologic myopia (PM-AI) diagnosis model based on deep learning. METHODS: A total of 1156 readable color fundus photographs were collected and annotated based on the diagnostic criteria of Meta-pathologic myopia (PM) (2015). The PM-AI system and four eye doctors (retinal specialists 1 and 2, and ophthalmologists 1 and 2) independently evaluated the color fundus photographs to determine whether they were indicative of PM or not and the presence of myopic choroidal neovascularization (mCNV). The performance of identification for PM and mCNV by the PM-AI system and the eye doctors was compared and evaluated via the relevant statistical analysis. RESULTS: For PM identification, the sensitivity of the PM-AI system was 98.17%, which was comparable to specialist 1 (P=0.307), but was higher than specialist 2 and ophthalmologists 1 and 2 (P<0.001). The specificity of the PM-AI system was 93.06%, which was lower than specialists 1 and 2, but was higher than ophthalmologists 1 and 2. The PM-AI system showed the Kappa value of 0.904, while the Kappa values of specialists 1, 2 and ophthalmologists 1, 2 were 0.968, 0.916, 0.772 and 0.730, respectively. For mCNV identification, the AI system showed the sensitivity of 84.06%, which was comparable to specialists 1, 2 and ophthalmologist 2 (P>0.05), and was higher than ophthalmologist 1. The specificity of the PM-AI system was 95.31%, which was lower than specialists 1 and 2, but higher than ophthalmologists 1 and 2. The PM-AI system gave the Kappa value of 0.624, while the Kappa values of specialists 1, 2 and ophthalmologists 1 and 2 were 0.864, 0.732, 0.304 and 0.238, respectively. CONCLUSION: In comparison to the senior ophthalmologists, the PM-AI system based on deep learning exhibits excellent performance in PM and mCNV identification. The effectiveness of PM-AI system is an auxiliary diagnosis tool for clinical screening of PM and mCNV.
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Souza, Vivian Aguiar de, and Raquel Janissek-Muniz. "INFLUENCE FACTORS OF CULTURE OF INTELLIGENCE IN ORGANIZATIONS." REAd. Revista Eletrônica de Administração (Porto Alegre) 27, no. 2 (August 2021): 579–611. http://dx.doi.org/10.1590/1413-2311.325.107447.
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RESUMO Organizations have recognized intelligence processes to deal with uncertainties, anticipate and better direct their decisions, aiming at greater competitiveness and sustainability. Among the influencing factors in these processes, culture, built by values, standards and behaviors, is strongly highlighted. In order to identify which characteristics are present in the culture of intelligence, we explore different elements covered in the literature. Studies point to cultural factors of leadership, communication, trust and collaboration, learning, and an orientation to the future and innovation as capable of influencing the intelligence processes. Aiming to identify factors of organizational culture that can influence intelligence processes in organizations, a SLR was carried out to form the construct “intelligence culture”, with validation by specialists, via Card Sorting and Delphi method. As a result, factors as leadership, appropriate communication and team awareness were identified. In terms of theoretical contribution, this study identifies the organizational culture factors which can influence the intelligence processes, uniting findings from the literature and the intelligence specialists’ opinions. It also proposes an instrument that can serve as a reference for future studies of culture factors and intelligence in organizations. In practical terms, organizations can diagnose and think strategies that develop the organizational culture in their processes.
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Rypalov, Vladimir G., and Alexander A. Lobanov. "DEVELOPMENT OF A PROFESSIONAL TRAINING SYSTEM IN THE CORPORATION." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 4/4, no. 145 (2024): 234–44. http://dx.doi.org/10.36871/ek.up.p.r.2024.04.04.027.
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The article discusses issues related to modern methods of forming a system of professional training for corporation specialists. Currently, corporate governance systems are striving to optimize the process of professional development of employees with the help of artificial intelligence and digital resources. New resources for professional training of corporation specialists increase its efficiency.
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Mamina, R. I., and S. N. Pochebut. "Artificial Intelligence in the View of Philosophical Methodology: an Educational Track." Discourse 8, no. 1 (February 25, 2022): 64–81. http://dx.doi.org/10.32603/2412-8562-2022-8-1-64-81.
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Introduction. The problematic of artificial intelligence (AI) is one of the central issues for modern scientific and business communities. Despite the relevance and particular demand for AI professions, there is currently an acute need in the labor market for both highly qualified and young specialists in this area. According to analysts, the shortage is due to shortcomings in the system for training AI specialists. The reasons that determined the crisis of educational programs in the field of IT are considered. The main emphasis is focused on the new approaches of gaining knowledge in the training of IT specialists, appropriate to the specifics of the new realities.Methodology and sources. The methodology of comparative analysis, interdisciplinary and philosophical approaches to the consideration of AI as an information and communication phenomenon of the new reality is used. Sources are based on the special literature of foreign (K. Schwab, N. Davis, P. Dougherty, J. Wilson and etc.) and Russian (E.M. Proydakov, V.B. Tarasov, P.M. Gotovtsev and others) authors, scientific researches (collective research of Russian scientists “Strong Artificial Intelligence”, 2021; and others), publications and websites devoted to the problems of AI, including the educational sphere (O.E. Baksansky, U. Pakhomov, etc.; www.trends.rbc.ru/trends/education and others).Results and discussion. Main tendencies of artificial intelligence development are determined. AI is opening out both as a special field of scientific knowledge and as a huge AI-industry. The specifics of educational track in training young AI specialists are revealed; the question of the necessity of developing new educational model, implementing the needs of digital economy in terms of training highly qualified personnel in the field of IT is raised.Conclusion. In the present conditions, when the volume of information is constantly increasing and the practice of AI development is ahead of the theory, the training of AI specialists has still a narrow profile. In this connection, we consider the latest modification of STEM education – i-STEAM, which, like STEM, is aimed at ensuring end-to-end interaction between applied tasks, fundamental research and educational system, but, unlike STEM, includes humanitarian and innovative components, which is especially relevant for training young AI specialists. However, as applied to the AI direction, the humanitarian component must be necessarily supplemented by the subject field of digital humanistic with the main emphasis on digital applied ethics as a prerequisite for progressive development of AI. It is focused that this approach of the training of AI profile meets the requirements of the human-centered digital era.
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Shchavinsky, Yurii V., Tetiana M. Muzhanova, Yuriy M. Yakymenko, and Mykhailo M. Zaporozhchenko. "APPLICATION OF ARTIFICIAL INTELLIGENCE FOR IMPROVING SITUATIONAL TRAINING OF CYBERSECURITY SPECIALISTS." Information Technologies and Learning Tools 97, no. 5 (October 30, 2023): 215–26. http://dx.doi.org/10.33407/itlt.v97i5.5424.
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The article identifies the problem of the need for continuous development and improvement of practical skills for cybersecurity professionals due to the constant growth and evolution of threats to information and cyber security for organizations, businesses, society, and the state. The relevance of implementing innovative technologies to improve the methods of developing technical and managerial competencies of cybersecurity specialists in higher education institutions is justified in accordance with the strategic direction of education reform in Ukraine. The relevance of developing the ability and skills for cybersecurity professionals to respond promptly to threats is associated with the use of artificial intelligence by cybercriminals. The analysis conducted in this work allowed us to conclude the need for improvement of the situational teaching method as one of the main ways to develop the competencies of students majoring in Cybersecurity and Information Security in higher education institutions. One of the ways to improve the method is to use artificial intelligence tools in creating various types of tasks for classes. To create educational situations and options for resolving conflicting situations in cybersecurity management and cyber incidents with the aim of developing skills in future cybersecurity managers to make timely, correct, and effective decisions, it proposed to use the artificial intelligence tool - the ChatGPT language model. Thanks to its excellent capabilities, which include summarizing and analyzing articles, encoding, debugging, and generating thematic blocks of situations, it represents significant progress in the field of artificial intelligence. The application of ChatGPT allowed the creation of the necessary number of situational tasks with options for correct solutions in a short time, covering all areas of activity for cybersecurity specialists. However, during the research, there was a need for critical evaluation and verification of the information provided by the model for compliance with the context and rules, laws, and ethical norms that apply in each specific situation. This issue addressed by refining and specifying the request to the ChatGPT language model to generate situations.
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Luquis, Raffy R. "Integrating the concept of cultural intelligence into health education and health promotion." Health Education Journal 80, no. 7 (June 4, 2021): 833–43. http://dx.doi.org/10.1177/00178969211021884.
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Objectives: Since the 1990s, cultural competence and cultural humility have been advanced across health disciplines, including health education and promotion, as approaches to use to address the health needs of increasingly diverse populations, reduce persistent health disparities and promote health and health equity. While these terms are sometimes used interchangeably, each of them represents a different approach when working across cultural groups. Health professionals, including health education specialists, may also find it helpful to employ cultural intelligence when working with diverse populations. The purpose of this article is to briefly define cultural competence and cultural humility and describe how cultural intelligence can provide health education specialists with another tool when working with diverse groups. Design: Review of the literature. Setting: USA and related contexts. Results: While cultural intelligence shares some similarities with previous terms, it differs in drawing from intelligence research and emphasises an understanding of different cultures, problem-solving and adaptations in numerous cultural settings. Conclusion: This article defines cultural intelligence as an essential capability to learn and use when engaging with diverse cultural groups and working in cross-cultural settings.
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Мельничук, Оксана Богданівна. "The emotional component of professional intelligence of future social sphere specialists." ScienceRise 11, no. 1 (16) (November 24, 2015): 74. http://dx.doi.org/10.15587/2313-8416.2015.54036.
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Sayres, Rory, Naama Hammel, and Yun Liu. "Artificial intelligence, machine learning and deep learning for eye care specialists." Annals of Eye Science 5 (June 2020): 18. http://dx.doi.org/10.21037/aes.2020.02.05.
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Talcott, Katherine E., Judy E. Kim, Yasha Modi, Darius M. Moshfeghi, and Rishi P. Singh. "The American Society of Retina Specialists Artificial Intelligence Task Force Report." Journal of VitreoRetinal Diseases 4, no. 4 (March 27, 2020): 312–19. http://dx.doi.org/10.1177/2474126420914168.
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Artificial intelligence (AI) is a growing area that relies on the heavy use of diagnostic imaging within the field of retina to offer exciting advancements in diagnostic capability to better understand and manage retinal conditions such as diabetic retinopathy, diabetic macular edema, age-related macular degeneration, and retinopathy of prematurity. However, there are discrepancies between the findings of these AI programs and their referral recommendations compared with evidence-based referral patterns, such as Preferred Practice Patterns by the American Academy of Ophthalmology. The overall focus of this task force report is to first describe the work in AI being completed in the management of retinal conditions. This report also discusses the guidelines of the Preferred Practice Pattern and how they can be used in the emerging field of AI.
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Hromyk, L. I., I. A. Nasminchuk, I. V. Briukhovetska, and L. O. Kushnir. "ACADEMIC INTEGRITY OF FUTURE SPECIALISTS IN THE ERA OF ARTIFICIAL INTELLIGENCE." Innovate Pedagogy 1, no. 67 (2023): 278–84. http://dx.doi.org/10.32782/2663-6085/2023/67.1.59.
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Грень, Лариса, and Ivan Kirsanov. "FORMATION OF EMOTIONAL INTELLIGENCE IN THE PROCESS OF PREPARATION OF FUTURE SOCIAL PROFESSIONALS IN HIGHER EDUCATION INSTITUTIONS." Theory and practice of social systems management, no. 4 (December 25, 2023): 20–29. http://dx.doi.org/10.20998/2078-7782.2023.4.02.
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Abstract: the article emphasizes the importance of the role of education as one of the main components of supporting the transition period of Ukraine on the way to the EU and NATO; it has been proven that the formation of a new philosophy of higher education is simultaneously connected with emotional intelligence, which is of great importance in the training of future specialists in the social sphere in institutions of higher education. It was determined that the state and development of the modern Ukrainian economy depends on the quality of personnel training provided by universities. It was found that the lack of management culture, the insufficient level of moral and ethical training of specialists in the social sphere and qualified specialists in the field of professional ethics is an obstacle to the creation of an emotional and ethical infrastructure in Ukraine. The opinion is substantiated that the wide application of active learning methods with the analysis of real and educational business situations and the regular professional practice of future specialists in the social sphere at enterprises, firms, state authorities and local governments will ensure the effectiveness of the training of specialists in the social sphere, will contribute to the formation and development of ethical norms and emotional intelligence.
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Афанасьева, И. Г. "Social responsibility as a key criterion for student preparation of technical direction." Bulletin of Pedagogical Sciences, no. 4 (May 13, 2024): 26–30. http://dx.doi.org/10.62257/2687-1661-2024-4-26-30.
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сегодня особое внимание в России уделяется подготовке специалистов технических направлений как флагману разработки и внедрения цифровых инструментов для стратегического развития экономики. Несмотря на непродолжительный период трансформации традиционной экономики в цифровую, в обществе аккумулирован негативный опыт применения технологии искусственного интеллекта. Как негатив отмечаются некачественные алгоритмы разработки интеллектуальных систем, непонимание специалистами значимости качества создания систем искусственного интеллекта. Опыт определил приоритетность этических принципов социальной ответственности у специалистов технических направлений в области разработки и применения искусственного интеллекта как цифровой технологии. today, special attention is paid in Russia to the training of technical specialists as the flagship of the development and implementation of digital tools for the strategic development of the economy. Despite the short period of transformation of the traditional economy into the digital economy, the society has accumulated negative experience of using artificial intelligence technology. As a negative, poor-quality algorithms for the development of intelligent systems, lack of understanding by specialists of the importance of the quality of creating artificial intelligence systems are noted. The experience determined the priority of ethical principles of social responsibility among specialists of technical areas in the field of development and application of artificial intelligence as a digital technology.
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Privalova, I. B., and G. A. Lonshakova. "Prospects using chat bots as a tool for training middle-level specialists." Transport Technician: Education and Practice 5, no. 2 (June 18, 2024): 161–66. http://dx.doi.org/10.46684/2687-1033.2024.2.161-166.
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The subject of the research is the use of artificial intelligence in the educational process. The relevance is due to the need to introduce new technologies in order to improve the quality of training of mid-level specialists. Novelty and practical significance: the introduction of artificial intelligence helps to optimize the practical training of students.Purpose of the research — to identify the attitude of teachers and students of the Medical College of Railway Transport to the use of artificial intelligence in the field of education.Modern realities provide for the use of e-learning and distance technologies in education. The need for tools and services to convey knowledge via the Internet has increased with the transition of education to an online format. It is known the students spend a lot of time in messengers. An educational chatbot can become a powerful tool for online learning. This format makes learning more effective. One of the main advantages of introducing and using chatbots in education is the automation of processes in which both students and teachers, administrators, and employers participate.Practical significance — a chat bot was created in the Medical College of Railway Transport in order to test the use of artificial intelligence in organizing practical training on the social network “VKontakte” in the community of MK ZhT, confirmed by “State Services”. A chat bot answers the most common questions of students, providing round-the-clock information support.
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Shumkov, Ihor. "The Structure and Components of the Formation of Future Military Intelligence Officers’ Professional Competence at a Higher Military Educational Institution." Professional Education: Methodology, Theory and Technologies, no. 16 (November 30, 2022): 318–34. http://dx.doi.org/10.31470/2415-3729-2022-16-318-334.
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The article examines the peculiarities of the training of future military intelligence officers, taking into account the specifics of their future professional activity, educational and normative documents, the organization of the educational process, and the conceptual principles of their training at higher military educational institutions. The purpose of the article is to theoretically substantiate the structure and components of the formation of future military intelligence officers’ professional competence at a higher military educational institution, which affect the quality of their professional training. In accordance with the tasks and verification of the initial assumptions, the following research methods that complemented each other were used: theoretical (analysis, synthesis, comparison, generalization, classification, systematization of data), empirical (observation, conversation, oral and written survey, questionnaire, interviewing, testing, expert evaluation). The results. It was found out that the professional training of future military intelligence specialists at a higher military educational institution should be considered as a specialized education aimed at: acquiring professional competences in the field of professional military activity, introducing principles and standards for acquiring new and improving previously acquired professional competences, increasing the level of practical training and readiness for professional activity based on the updated training methodology, implementing the organization of the educational process using new and modern models of weapons and military equipment, achieving a targeted and special pedagogical influence on the formation of the personality of the future military specialist by providing a wide range of professional knowledge and development creative thinking throughout the entire military career. Conclusions. Thus, taking into account the theoretical foundations of the professional training of future military intelligence officers in a higher military educational institution, the structure of military education and the structure of training future specialists, we believe that the following interrelated and interdependent components will be of significant importance: motivational-volitional, cognitive-resultative, personal-acmeological, operational-activity.
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Haenlein, Michael, and Andreas Kaplan. "A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence." California Management Review 61, no. 4 (July 17, 2019): 5–14. http://dx.doi.org/10.1177/0008125619864925.
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This introduction to this special issue discusses artificial intelligence (AI), commonly defined as “a system’s ability to interpret external data correctly, to learn from such data, and to use those learnings to achieve specific goals and tasks through flexible adaptation.” It summarizes seven articles published in this special issue that present a wide variety of perspectives on AI, authored by several of the world’s leading experts and specialists in AI. It concludes by offering a comprehensive outlook on the future of AI, drawing on micro-, meso-, and macro-perspectives.
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Thakkar, B., and S. V. Bharathi. "Medical Specialists’ Perception About Adoption of Artificial Intelligence in the Healthcare Sector." CARDIOMETRY, no. 25 (February 14, 2023): 426–34. http://dx.doi.org/10.18137/cardiometry.2022.25.426434.
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Artificial Intelligence (AI) has numerous potential applications in the healthcare sector. These applications vary from its use in quicker disease diagnosis to its assistance for efficiently dealing with pandemic situations. Many countries have successfully laid out their strategy for the effective implementation of AI. However, several developing countries are still working on their plan to increase the penetration of AI in various fields, including healthcare, to harness AI’s potential benefits. The research objective is to understand the perception of Medical Specialists about using AI by identifying significant factors that impact their adoption of AI to perform medical tasks. Several medical specialists were surveyed based on five factors taken from 2 popular technology adoption models- UTAUT2 and TAM2. The data analysis on the collected responses (N=111) was done using PLS-SEM. Based on the analysis results, two factors, namely- Facilitating Conditions and Performance Expectancy, are found to positively impact medical specialists’ behavioral intention to adopt AI in their professional life. Decision-makers of developing countries can take appropriate measures based on identified two significant factors to boost AI healttocations’ adoption in their country to solve existing healthcare problems and improve the quality of healthcare services.
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Nagy, Eszter, Robert Marterer, Franko Hržić, Erich Sorantin, and Sebastian Tschauner. "Learning rate of students detecting and annotating pediatric wrist fractures in supervised artificial intelligence dataset preparations." PLOS ONE 17, no. 10 (October 20, 2022): e0276503. http://dx.doi.org/10.1371/journal.pone.0276503.
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The use of artificial intelligence (AI) in image analysis is an intensively debated topic in the radiology community these days. AI computer vision algorithms typically rely on large-scale image databases, annotated by specialists. Developing and maintaining them is time-consuming, thus, the involvement of non-experts into the workflow of annotation should be considered. We assessed the learning rate of inexperienced evaluators regarding correct labeling of pediatric wrist fractures on digital radiographs. Students with and without a medical background labeled wrist fractures with bounding boxes in 7,000 radiographs over ten days. Pediatric radiologists regularly discussed their mistakes. We found F1 scores—as a measure for detection rate—to increase substantially under specialist feedback (mean 0.61±0.19 at day 1 to 0.97±0.02 at day 10, p<0.001), but not the Intersection over Union as a parameter for labeling precision (mean 0.27±0.29 at day 1 to 0.53±0.25 at day 10, p<0.001). The times needed to correct the students decreased significantly (mean 22.7±6.3 seconds per image at day 1 to 8.9±1.2 seconds at day 10, p<0.001) and were substantially lower as annotated by the radiologists alone. In conclusion our data showed, that the involvement of undergraduated students into annotation of pediatric wrist radiographs enables a substantial time saving for specialists, therefore, it should be considered.
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Fayerman, Olena O. "TO THE QUESTION OF REQUIREMENTS FOR FUTURE SOCIONOMIC SPECIALISTS." Bulletin of Alfred Nobel University Series "Pedagogy and Psychology" 2, no. 22 (2021): 293–99. http://dx.doi.org/10.32342/2522-4115-2021-2-22-32.
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The article reveals the problem of modern requirements for future specialists in the field of socionomics. It has been found that socionomic occupations include professions that involve constant work with people and direct communication in the process of professional activity for the purpose of direct or indirect business contacts, including providing one or other type of assistance to a person or group of people; the subject and purpose of their professional activities are determined. The author’s position on the assignment of psychologists, social educators, social workers and social work specialists to the group of socionomic specialists is substantiated. The requirements for socionics specialists as providers of social services, i.e. actions aimed at prevention, overcoming difficult life circumstances or minimizing their negative consequences for individuals / families are analyzed. It is shown that these requirements are laid down in international documents, in particular «Global Standards for Social Work Education and Training» and Standards of Higher Education specialties 053 Psychology, 231 Social Work. Emphasis is placed on the professional qualities of socionomic professionals who ensure the effectiveness of professional functions: responsibility for the quality of work with clients, altruistic qualities, tolerance, flexibility in communication (systems «specialist-client», «specialist-group / client groups»), empathy, an ability to establish trusting relationships with the client, belief in the possibility of effective assistance to the client; self-confidence, psychological qualities, focus on achieving professional success, willingness to help clients and provide them with professional assistance. The conclusion is made about the expediency of modeling the maintenance and technological maintenance of preparing future experts in socionomic sphere that would provide formation of their readiness for support of parents of children with special needs and development of such professional qualities as empathy, emotional intelligence, tolerance and reflexivity.
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Sabirov, Nakip Z., Shamil` K. Valiev, and Rafail S. Valiev. "Prospects for the use of artifi cial intelligence in railway transport." Innotrans, no. 2 (2022): 20–23. http://dx.doi.org/10.20291/2311-164x-2022-2-20-23.
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The article considers the use of artificial intelligence, highlights the main promising areas of development and application of artificial intelligence in railway transport. Actively implemented and developing artificial intelligence technologies on the railway are noted. Examples of implementation of projects with elements of artificial intelligence in railway transport, at educational institutions in the development of training simulators for learning at universities and secondary specialized educational institutions of railway transport and in the professional development of specialists of railway enterprises are given.
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Klementinskaya, E. A. "The impact of emotional intelligence on the level of hardiness." INSIGHT, no. 1(9) (2022): 9–27. http://dx.doi.org/10.17853/2686-8970-2022-1-9-27.
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The article describes the analysis of the impact of emotional intelligence on the level of hardiness in the process of its development and the program to increase hardiness through the development of emotional intelligence. The article presents the results of an empirical study of the influence of developing emotional intelligence on the level of resilience of specialists of helping professions on the example of employees of employment centers of the Republic of Bashkortostan. Statistically significant differences in emotional intelligence indicators and all components of hardiness were revealed.
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Foley, Éric, and Manon G. Guillemette. "What is Business Intelligence?" International Journal of Business Intelligence Research 1, no. 4 (October 2010): 1–28. http://dx.doi.org/10.4018/jbir.2010100101.
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There has been growing corporate interest in business intelligence (BI) as a path to reduced costs, improved service quality, and better decision-making processes. However, while BI has existed for years, it has difficulties reaching what specialists in the field consider its full potential. In this paper, the authors examine disparities in how the constructs of business intelligence are defined and understood, which may impede an understanding of what BI represents to business leaders and researchers. The main objective of this study is to clearly understand this emerging concept of BI. In this regard, the authors analyze articles from the scientific and professional literature to have a comprehensive understanding of business intelligence as both a product and a process. This research proposes a global overview of the conceptual foundations of BI, which can help companies understand their BI initiative and leverage them to the strategic level.
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Burak, P. I., V. Р. Bauer, and Yu P. Lipuntsov. "QUASI-METAUNIVERSE - NEW SPHERES FINANCIAL INTELLIGENCE ACTIVITIES." Bulletin of Russian academy of natural sciences 23, no. 2 (2023): 6–10. http://dx.doi.org/10.52531/1682-1696-2023-23-2-6-10.
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Th e article outlines the facts of the emergence of industry me- tauniverses in the digital society and puts forward a hypothesis about the possibility of forming quasi-metauniverses (criminal cyberspaces) in their environment, in which crypto-fraudsters can launder criminal proceeds in order to fi nance terrorism. A methodology for researching the issue is presented and, based on its results, measures are proposed to improve the activities of fi nancial intelligence specialists in this area of the digital economy.
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Pantelimon, Florin-Valeriu, Bogdan-Stefan Posedaru, Liviu-Andrei Toader, Mihai-Nicolae Dulgheru, and Tiberiu-Marian Georgescu. "The Dynamics of the ICT Workforce and the Effects on the Use of Artificial Intelligence Technologies in the European Union." Proceedings of the International Conference on Business Excellence 18, no. 1 (June 1, 2024): 3490–502. http://dx.doi.org/10.2478/picbe-2024-0283.
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Abstract This paper represents an analysis made using statistical methods of the influence of the number of Information and Communication Technology (ICT) specialists on the number of businesses that use and invest in technologies based on artificial intelligence (AI). Throughout the article, the authors analyze two sets of statistical data collected by Eurostat: the share of ICT specialists in the overall active population and the number of companies that use and invest in AI technologies, both datasets referring to the European Union. Using several statistical methods, such as normality tests, correlation analysis and regression analysis on the datasets, the results show that the relation between the number of ICT specialists and the number of businesses that use and invest in AI technologies is a positive one, which means that the bigger the share of ICT specialists in the overall active population, the more businesses will adopt and use AI technologies. Therefore, the conclusions emphasize the important role that ICT specialists play when discussing about raising the rate of adoption of newer technologies, based on AI and the content of the paper underlines the fact that the more businesses and companies use and invest in AI, the more these technologies will be used in other industries as well, such as finance and education, the least playing a critical role in forming the next generation of ICT specialists with a strong knowledge in the AI field. The role these specialists play in growing the rate of adoption of AI technologies is also confirmed by the literature review. Moreover, the paper also presents a series of conclusions relevant to entrepreneurs and teachers that are willing to include these kind of technologies into their daily activities and also a series of measures to stimulate the rate of adoption of artificial intelligence based technologies in the European Union.
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Lantukh, Eduard, Anatoly Smolyakov, and Olga Gavrilova. "CURRENT PROBLEMS OF IMPLEMENTING LATEST DIGITAL TECHNOLOGIES FOR TRAINING EMPLOYEES OF FORENSIC UNIT." Psychological and pedagogical problems of human and social security 2023, no. 4 (December 25, 2023): 32–37. http://dx.doi.org/10.61260/2074-1618-2024-2023-4-32-37.
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Problems of using artificial intelligence as an effective means of software for activities of forensic experts in foreign countries and introduction of capabilities of new software for training specialists from law enforcement agencies in Russia are considered. Development prospects are outlined, as well as use of extensive capabilities of artificial intelligence in areas related to forensic activities.
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Chava, H., and O. Narodovska. "THE IMPORTANCE OF EMOTIONAL INTELLIGENCE FORMING DURING ENGLISH CLASSES FOR FUTURE SPECIALISTS." International Humanitarian University Herald. Philology 2, no. 45 (2020): 147–50. http://dx.doi.org/10.32841/2409-1154.2020.45-2.36.
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Tkach, Elena N., and Ksenia F. Zhdanova. "THE RELATIONSHIP BETWEEN EMOTIONAL INTELLIGENCE AND CHOICE COPING STRATEGIES OF REAL ESTATE PROFESSIONALS OF THE FAR EASTERN REGION." Humanities And Social Studies In The Far East 19, no. 3 (2022): 158–66. http://dx.doi.org/10.31079/1992-2868-2022-19-3-158-166.
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The article presents a study of the psychological characteristics of the relationship between emotional intelligence and the choice of coping strategies for real estate specialists of the Far Eastern region. It was found that real estate professionals with a high level of emotional intelligence are characterized by acceptance of responsibility, positive revaluation, high stress resistance, modeling, evaluation of results, flexibility, independence. Real estate professionals with a low level of emotional intelligence most often choose confrontational coping, distancing, flight.
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Ratz, Sergey V. "Secret services of the USSR in Spain and their role in the military and political conflict of 1936–1939." Vestnik of Saint Petersburg University. Philosophy and Conflict Studies 36, no. 2 (2020): 356–69. http://dx.doi.org/10.21638/spbu17.2020.212.
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The article is dedicated to the activities of the Soviet intelligence agencies in Spain during the Civil War of 1936–1939. By June 1936, diplomatic relations between USSR and Spain were absent. Due to the putschist revolt and the appeal of the legitimate government of Spain to the USSR, the Politburo of the Central Committee of the Communist Party (Bolshevik) made a decision to establish diplomatic, military, and trade delegations in Spain. The intelligence agencies of the USSR planned operation ‘X’ for military assistance to Spain. As part of this operation, a Soviet advisory staff concerning military and foreign intelligence was formed. The author brings to light the goals of the secret service authorities of the Soviet Union, including such particular ones as the removal of Spain’s gold reserve and the creation of the 14th Partisan Corps. The article analyses the activities of the advisory staff, their role in the development of the largest military operations during the Spanish Civil War, and traces the fate of the conflict’s most active participants. Based on the analysis of new data introduced into the historical discourse in recent years, the author concludes that the secret services of the USSR played a large role in this conflict. The Soviet advisors and specialists obtained unique experiences, including conducting large-scale operations; military equipment was tested in actual battle activities; intelligence specialists enlisted information sources with great potential. Many military specialists tried and trained in Spain in 1936–1939 later played an invaluable role in the victory of the USSR in the Great Patriotic War.
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Manoilo, A. V. ""Hybrid diplomacy": on the production of personnel in the field of countering foreign information and hybrid wars." Diplomaticheskaja sluzhba (Diplomatic Service), no. 2 (March 31, 2023): 130–39. http://dx.doi.org/10.33920/vne-01-2302-05.
Full textAbstract:
This article is devoted to the issues of personnel training to counter the infected and hybrid free war against the Russian Federation in connection with the start of the Special Military Operation in Ukraine. It is noted that programs such as "Information and hybrid wars" are a structure for the formation in the Russian Federation of a nationwide system to counter information and hybrid war. In modern programs for training specialists in countering information and hybrid wars of great importance for international and analytical work, the main justifications and methods are disclosed in the courses "Analytical support for special military and police operations" and "Information support for special military and police operations in the media and New York". media". The data on the results are read taking into account the experience gained during the fi rst trade operation in Ukraine, with the involvement of specialists from the Russian Ministry of Defense and military journalists. Given the specific indicators, much attention is paid to special intelligence and military companies. To this end, the curriculum includes a course on Competitive Intelligence and Private Intelligence Companies, as well as special courses such as Competitive Intelligence Methods and Private Medical Companies in Special Military, Police and Peacekeeping Operations. Thus, the formation of a system for training specialists to counter hybrid wars is really beginning in Russia. The emergence of such programs as "Information and hybrid wars" is one of the signs of the creation of such a system. We have good chances on this plane, but they were also seen in this country of the West Country.
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Kalinouskaya, I. N. "METHODOLOGY FOR DETERMINING THE CORE COMPETENCIES AND CAREER GROWTH TRAJECTORY OF HR PROFESSIONALS, BASED ON INTERPRETIVE STRUCTURAL MODELING." Social & labor researches 49, no. 4 (2022): 162–72. http://dx.doi.org/10.34022/2658-3712-2022-49-4-162-172.
Full textAbstract:
The subject of the study is the competencies of HR professionals of organizations of the Republic of Belarus, extracted from digital sources on job search and processed with the help of artificial intelligence technologies. The aim of the study is to determine the key competencies of HR specialists and to develop their development programs based on the application of interpretive structural modeling, MICMAC and DEMATEL analysis. The relevance of the topic is due to the growing requirements of the labor market to the set and quality of competencies of specialists, as well as their constant self-development. The scientific novelty lies in the development of theoretical foundations for studying the labor market with the help of artificial intelligence technologies and in the development of methods for determining the core competencies and the trajectory of training professional competencies of specialists. The research uses general scientific and economic methods of analysis, ISM, MICMAC, and DEMATEL analysis, as well as statistical methods of grouping, classifications and graphing. The author obtained the following research results: the ways to develop professional competencies of HR specialists by training technical skills (with the prevalence of “hard” competencies in training programs) and by training communicative and business qualities (with the prevalence of “soft” competencies) were established. The author concludes that the fundamental skills of HR specialists in organizations of Belarus are communication skills, business documentation, teamwork, mastering “1C: Enterprise 8. Salary and Personnel Management”, and the use of office programs (Microsoft office).