Artificial Intelligence in Mobile Marketing: Conditions, Obstacles and Prospects of Using

O. Yashkina, M. Chaikovska, V. Filatova
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引用次数: 2

Abstract

The article considers the main problematic issues of application of artificial intelligence technologies in the practice of mobile marketing in Ukraine. The tendencies of development of the Internet environment in the world, growth of volumes of the accumulated information, trends of mobile traffic and their influence on digital transformations of marketing are analyzed. The advantages of mobile marketing as an effective channel of operative personalized interaction with consumers and a source of receiving statistical information on the results of marketing activities are revealed. Factors, preconditions and obstacles of practical application of modern digital analytics tools in mobile marketing are considered. A marketing study was conducted on consumer attitudes to the use of artificial intelligence technologies, the level of information about the benefits and risks of these technologies, understanding the categories of stakeholders for the development and implementation of artificial intelligence technologies in the practice of mobile marketing in Ukraine were done. The Ukrainian market of software products and services in the segment of artificial intelligence technologies is analyzed. Disparities between the level of technological development of society and the level of consumer confidence in their use are revealed. Stakeholders are invited to pay more attention to the analysis of informational and ethical issues of application of technological innovations in marketing by end users, increasing the transparency and controllability of this process.
移动营销中的人工智能:使用的条件、障碍和前景
本文考虑了人工智能技术在乌克兰移动营销实践中应用的主要问题。分析了全球互联网环境的发展趋势、累积信息量的增长趋势、移动流量的发展趋势及其对营销数字化转型的影响。揭示了移动营销作为与消费者进行可操作的个性化互动的有效渠道和接收营销活动结果统计信息的来源的优势。考虑了现代数字分析工具在移动营销中实际应用的因素、前提和障碍。对消费者对使用人工智能技术的态度、这些技术的好处和风险的信息水平、了解乌克兰移动营销实践中开发和实施人工智能技术的利益相关者类别进行了一项营销研究。分析了乌克兰在人工智能技术领域的软件产品和服务市场。揭示了社会技术发展水平与消费者使用技术的信心水平之间的差距。邀请利益相关者更多地关注最终用户在营销中应用技术创新的信息和伦理问题的分析,增加这一过程的透明度和可控性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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