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Artificial Intelligence as a Disruptive Technology for Digital Marketing

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Data Science and Intelligent Systems (CoMeSySo 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 231))

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Abstract

The paper studies peculiarities of marketing techniques based on artificial intelligence used in relevant software products. The authors investigate trends in the global marketing industry and reveal problems of capturing customer attention and tailoring commercial offers to specific needs of the audience on the Internet. Competitive advantages of artificial intelligence for dealing with these problems are connected to the possibilities of this innovative technology for relevant data collection and data processing. Successful implementation of artificial intelligence into digital marketing is based on the agile principles of software products development in the marketing industry.

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References

  1. Artificial intelligence in marketing. https://polygant.net/ru/ai/iskusstvennyj-intellekt-v-marketinge/. Accessed 17 Feb 2021

  2. Blog of the ArtisMedia company. https://artismedia.by/blog/iskusstvennyj-intellekt-v-marketinge/. Accessed 9 Feb 2021

  3. Arthur Khachuyan: artificial intelligence in marketing. https://habr.com/ru/company/ua-hosting/blog/482816/. Accessed 16 Feb 2021

  4. De Bruyn, A., Viswanathan, V., Beh, Y.S., Brock, J.K.-U., von Wangenheim, F.: Artificial intelligence and marketing: pitfalls and opportunities. J. Interact. Mark. 51, 91–105 (2020)

    Article  Google Scholar 

  5. Mustak, M., Salminen, J., Pléc, L., Wirtzd, J.: Artificial intelligence in marketing: topic modeling, scientometric analysis, and research agenda. J. Bus. Res. 124, 389–404 (2021)

    Article  Google Scholar 

  6. Artificial intelligence in digital marketing: how the work of a marketer is changing in 2020. https://vc.ru/marketing/107257-iskusstvennyy-intellekt-v-digital-marketinge-kak-menyaetsya-rabota-marketologa-v-2020-godu. Accessed 16 Feb 2021

  7. Free Social Media Statistics., https://www.socialbakers.com/statistics. Accessed 16 Feb 2021

  8. Feng, C.M., Park, A., Pitt, L., Kietzmann, J., Northey, G.: Artificial intelligence in marketing: a bibliographic perspective. Australas. Mark. J. 8, 1–12 (2020)

    Google Scholar 

  9. Three major fields of artificial intelligence and their industrial applications. https://towardsdatascience.com/three-major-fields-of-artificial-intelligence-and-their-industrial-applications-8f67bf0c2b46. Accessed 16 Feb 2021

  10. Artificial intelligence: applications in marketing, analytics and your life. https://lpgenerator.ru/blog/2017/04/11/iskusstvennyj-intellekt-primenenie-v-marketinge-analitike-i-vashej-zhizni/. Accessed 17 Feb 2021

  11. Paschen, J., Paschen, U., Pala, E., Kietzmann, J.: Artificial intelligence (AI) and value co-creation in B2B sales: Activities, actors and resources. Australas. Mark. J. 2, 1–9 (2020)

    Google Scholar 

  12. Arntz, M., Gregory, T., Zierahn, U.: The risk of automation for jobs in OECD countries: a comparative analysis (OECD Social, Employment and Migration Working Paper no 189), Paris: OECD (2016). https://doi.org/10.1787/5jlz9h56dvq7-en. Accessed 13 Feb 2021

  13. Frey, C.B., Osborne, M.A.: The Future of Employment: How Susceptible are Jobs to Computerisation? University of Oxford, Oxford (2013)

    Google Scholar 

  14. Goos, M., Manning, A., Salomons, A.: Job polarization in Europe. Am. Econ. Rev. Papers Proc. 99(2), 58–63 (2009)

    Article  Google Scholar 

  15. Kenney, M., Zysman, J.: The rise of the platform economy. Issues Sci. Technol. 32(3), 87–95 (2016)

    Google Scholar 

  16. Loureiro, A.L.D., Miguéis, V.L., da Silva, L.F.M.: Exploring the use of deep neural networks for sales forecasting in fashion retail. Decis. Support Syst. 114, 81–93 (2018)

    Article  Google Scholar 

  17. Rubio, F., Flores, M.J., Puerts, J.M.: Drawing a baseline in aesthetic quality assessment. Proc. SPIE 10696, 361–364 (2017)

    Google Scholar 

  18. Kang, L., Ye, P., Li, Y., Doermann, D.: Convolutional neural networks for no-reference image quality assessment. Proc. IEEE Conf. Comput. Vis. Pattern Recognit. 1733–1740 (2014)

    Google Scholar 

  19. Talebi, H., Milanfar, P.: NIMA: neural image assessment. IEEE Trans Image Process 27(8), 3998–4011 (2018)

    Article  MathSciNet  Google Scholar 

  20. Chollet, F.: Deep Learning with Python. Manning Publications, New York (2017)

    Google Scholar 

  21. Gruzenkin, D.V., et al.: Neural networks to solve modern artificial intelligence tasks. J. Phys: Conf. Ser. 1399 (2019). https://doi.org/10.1088/1742-6596/1399/3/033058

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Author information

Authors and Affiliations

  1. Siberian Federal University, Krasnoyarsk, Russia

    Vladislav Rutskiy & Nikita Chudopal

  2. PBXDom, Walnut, USA

    Reza Mousavi

  3. Abdelmalek Essaâdi University, Tangier, Morocco

    Younes El Amrani

  4. North-Eastern Federal University, Yakutsk, Russia

    Valentina Everstova

  5. V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia

    Roman Tsarev

  6. International Academy of Science and Technologies, Moscow, Russia

    Roman Tsarev

  7. HSE University , Moscow, Russia

    Vladislav Rutskiy

Authors
  1. Vladislav Rutskiy
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  2. Reza Mousavi
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  3. Nikita Chudopal
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  4. Younes El Amrani
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  5. Valentina Everstova
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  6. Roman Tsarev
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Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Petr Silhavy

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zdenka Prokopova

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Rutskiy, V., Mousavi, R., Chudopal, N., Amrani, Y.E., Everstova, V., Tsarev, R. (2021). Artificial Intelligence as a Disruptive Technology for Digital Marketing. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Data Science and Intelligent Systems. CoMeSySo 2021. Lecture Notes in Networks and Systems, vol 231. Springer, Cham. https://doi.org/10.1007/978-3-030-90321-3_74

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