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Item Open Access IMPROVING INDICATORS OF DIGITAL MARKETING USING ARTIFICIAL INTELLIGENCE(СДУ хабаршысы - 2020, 2020) Kaiyp K. ; Alimanova M.Abstract. In recent years, artificial intelligence (AI) has become a growing trend in various fields: medicine, education and the automotive industry. AI also reached a business, namely the marketing department of various businesses. The goal of the article is to research how deeply AI is used in digital marketing. The authors asked two research questions - which areas of AI are used in marketing and what are the positive effects of chat bots on a business. To answer these questions, the authors conducted a study of secondary data with examples of AI used for marketing purposes. An analysis of the collected examples shows that AI is widely implemented in the field of marketing, although applications are at the operational level. This may be the result of the careful implementation of the new technology, still at the level of experimentation with it. The uncertainty of the results of the implementation of AI can also affect caution when applying these innovations in practice. The collected examples proved that AI affects all aspects of the marketing structure, affecting both consumer value and the organization of marketing and business management. This document is important for the business, especially the idea of introducing artificial intelligence into marketing, developing innovation, and ideas on how to incorporate new skills into the marketing team needed for new technologyItem Open Access Applying machine learning models for predicting forest fires in Australia and the influence of weather on the spread of fires based on satellite and weather forecast data(2020 International Young Scholars Workshop, 2020) Meraliyev B.; Kongratbayev K.Abstract What shall we expect from the year 2020? The coronavirus pandemic is not the worst thing that humanity can face in the near future. According to the observations of the scientists, in March, 2020, the planet temperature warmed up to the record-high level. Also, the temperature of the world’s oceans exceeded its average temperatures by 80%, and prognosis of the meteorological observations is not good. The warming seas had already led to catastrophic disaster. The average temperature increase can also lead to hurricanes, drought, invasion of locusts and, the worst, to forest fires. Natural disasters lead to loss of life, destruction of properties and infrastructure, loss of animal natural habitats, displacement of humans. And the results of these all lead to humanitarian catastrophes, including social and economic. The situations related to the nature are always very serious, as the whole world is involved. This is like butterfly effect, i.e., the natural disaster in Australia affect the economic and ecologic situation in USA and England. Taking the Australia, they faced problem that cannot be avoided. Nevertheless, the world can be prepared and prevent from the huge disasters. The forecasting of forest fires can really be helpful, as well as the inquiry of the weather impact on fires. The current paper is focused on the study of fire forecasting and weather influence on fire. The relevance of the study is important, as the global warming and human caused fires are increasing and there is a trend that Australia’s fires became more dangerous and longer lasting. The artificial intelligence, particularly machine learning algorithms, can help to make appropriate calculations and predictions to safe the ecosystem and human lives. According to the preliminary research results we acquire; in-depth multidimensional analysis confirms almost 100 percent dependence of bushfires on the weather conditions. Using the machine learning algorithms, it would be possible to predict the time and positioning of inflammation source.Item Open Access VOICE ASSISTANT FOR MOBILE SYSTEMS WITH NATURAL LANGUAGE PROCESSING(Suleyman Demirel University, 2016) Kuanyshbay D.; Orynbetov Z.; Kariboz D.In order to handle some tasks by voice recognition it is really important that application will understand what user said. Which means that application must take a sentence that was entered by user and analyze and handle some tasks or etc. This paper is about natural language processing and analyzing sentences. In this article, we have briefly gone through the problems of NLP and some of the common techniques used in natural language analysis. These techniques are, however, very simple and fundamental. Many more complex and efficient approaches have been developed. However,in spite of these new developments, current state of the art is still capable of only limited tasks within restricted domains. Even though, work in the subject had began more than forty years ago, it is still in the very early stage of its development and there is definitely more to meet the eyes.Item Open Access ARTIFICIALLY INTELLIGENT CHATBOTS FOR HIGER EDUCATION: A REVIEW OF EMPIRICAL LITERATURE(СДУ хабаршысы - 2021, 2021) Momonov G. ; Mirtskhulava L.Abstract. This paper reviews empirical literature on artificially intelligent chatbots for higher education published in 2000-2021 in peerreviewed journals. The review shows that chatbots are mainly used for teaching assistance and for non-academic support purposes. The published studies unanimously report positive effects of chatbots on the outcomes of interest. The review suggests that chatbots have a considerable potential to be used more widely in higher education. Further, the research on chatbots in higher education is ripe for more research.Item Open Access ПРИМЕНЕНИЕ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА И ЗАЩИТА ПЕРСОНАЛЬНЫХ ДАННЫХ: ПРАВОВЫЕ АСПЕКТЫ(2021 International Young Scholars' Conference, 2021) Аружан С.Р.Abstract. This article will map the legal challenges posed by artificial intelligence (AI) in personal data. Artificial intelligence is the subject of widespread controversy, with growing concern over the unification of anonymized data. Also, the article reviewed and analyzed the Cambridge Analytica case, which indicates the impact of rapidly developing Internet technologies on the political situation with the help of user data. Which allow to manage the interests, preferences and manipulation of a person, where they can bring information in a different form. The reason was the lack of an appropriate legal basis or a flaw in the law. Therefore, it is necessary to develop a legal framework that will help significantly restrict the activities of companies such as Cambridge Analytica, and exclude the possibility of uncontrolled use of personal data on social networks around the world.Item Open Access USING ARTIFICIAL INTELLIGENCE TO IMPROVE DIGITAL MARKETING STRATEGIES(СДУ хабаршысы - 2020, 2020) Kaiyp K. ; Alimanova M.Abstract. The use of artificial intelligence (AI) will provide huge advantages in the digital marketing strategy of each company. This is a new face of productivity, efficiency and profitability. Making decisions about the start of a new era based on artificial intelligence should not replace the work of marketers or advertisers. It is here to unleash their true strategic and creative potential. For a business executives and marketers, the time has come to identify the problems facing the business or the marketing campaign, and how accurate ideas can solve these problems. This study discusses how AI could affect to effective of marketing strategies, shows real cases of using AI tools, and how companies could increase their profit.