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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">stbus</journal-id><journal-title-group><journal-title xml:lang="ru">Стратегии бизнеса</journal-title><trans-title-group xml:lang="en"><trans-title>Business Strategies</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2311-7184</issn><publisher><publisher-name>Real Economy Publishing House</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17747/2311-7184-2019-7-08-13</article-id><article-id custom-type="elpub" pub-id-type="custom">stbus-547</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>ТЕХНОЛОГИЯ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В КОНТЕКСТЕ БИЗНЕС-СРЕДЫ</article-title><trans-title-group xml:lang="en"><trans-title>ARTIFICIAL INTELLIGENCE TECHNOLOGY IN THE CONTEXT OF THE BUSINESS ENVIRONMENT</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Мустафина</surname><given-names>А. ф.</given-names></name><name name-style="western" xml:lang="en"><surname>Mustafina</surname><given-names>A. F.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Студ. ПМиИТ БИ2-2. Науч. руководитель к.т.н., доцент Точилкина Т.Е.</p></bio><bio xml:lang="en"><p>Student. AMaIT BI2-2. science. head, Ph. D., Assoc., Tochilkina T. E.</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Финансовый университет при Правительстве РФ, Москва, Россия</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Financial University under the Government of the Russian Federation, Moscow, Russia</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>28</day><month>07</month><year>2019</year></pub-date><volume>0</volume><issue>7</issue><fpage>8</fpage><lpage>13</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Мустафина А.ф., 2019</copyright-statement><copyright-year>2019</copyright-year><copyright-holder xml:lang="ru">Мустафина А.ф.</copyright-holder><copyright-holder xml:lang="en">Mustafina A.F.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.strategybusiness.ru/jour/article/view/547">https://www.strategybusiness.ru/jour/article/view/547</self-uri><abstract><p>В статье представлены основные результаты исследования, посвященного анализу эффективного применения методов и инструментов искусственного интеллекта в различных сферах деятельности, а также оценке потенциала внедрения технологии искусственного интеллекта в бизнес-сферу. Приведен подробный разбор и анализ основных понятий данной технологии и их содержание. Особое внимание уделено ходу развития истории искусственного интеллекта и объяснению складывания этого термина как важного элемента современной ИТ-инфраструктуры. Выделяются и описываются характерные особенности составляющих искусственного интеллекта. Определяются задачи, цели и области эффективного применения искусственного интеллекта. Производится подробный анализ результатов внедрения искусственного интеллекта на предприятиях и указывается зависимость успешности организации от степени доверия и внедрения технологий искусственного интеллекта. Описаны прогнозы экспертов о роли и степени влияния развития данной технологии в бизнес-сфере на краткосрочный и среднесрочный период.</p></abstract><trans-abstract xml:lang="en"><p>This article discusses the concept of artificial intelligence. The purpose of this research is to highlight the current state of the areas in which artificial intelligence can be implemented, as well as to assess the potential of the introduction of this technology in the business sphere. A detailed analysis and reviews of the basic concepts of this technology, and their content is shown. Particular attention is paid to the development of the history of artificial intelligence and the explanation of the folding of this term as an important element of modern IT- infrastructure. The characteristic features of artificial intelligence components are distinguished and described. Attention is also focused on the historical aspect of the formation of all-important characteristics for understanding. The tasks, goals and applications of artificial intelligence are defined. A detailed analysis of the results of the introduction of artificial intelligence in enterprises and indicates the dependence of the success of the organization on the degree of trust and the introduction of artificial intelligence technologies. Experts ' forecasts on the role and extent of the impact of this technology in the business sector in the short and medium term are described.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>искусственный интеллект</kwd><kwd>ИИ</kwd><kwd>машинное обучение</kwd><kwd>нейронные сети</kwd><kwd>глубокое обучение</kwd><kwd>глубинное обучение</kwd><kwd>сфера обслуживания клиентов</kwd><kwd>недвижимость</kwd><kwd>медиасреда</kwd><kwd>логистика</kwd><kwd>ритейл</kwd><kwd>прогнозы</kwd></kwd-group><kwd-group xml:lang="en"><kwd>artificial intelligence</kwd><kwd>AI</kwd><kwd>machine learning</kwd><kwd>neural networks</kwd><kwd>deep learning</kwd><kwd>customer service</kwd><kwd>real estate</kwd><kwd>media environment</kwd><kwd>logistics</kwd><kwd>retail</kwd><kwd>forecasts</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">ARTIFICIAL INTELLIGENCE IN LOGISTICS. 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