INDUSTRY 4.0 TECHNOLOGIES: MACHINE LEARNING AND THE CUSTOMER RELATIONSHIPS MANAGEMENT

Proceeding
All-Russian scientific and practical conference with international participation «The Topical Issues of the Humanities and Social Sciences: from Theory to Practice»
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Published in:
All-Russian scientific and practical conference with international participation «The Topical Issues of the Humanities and Social Sciences: from Theory to Practice»
Author:
Pavel V. Malyzhenkov 1
Work direction:
Содержание и технологии профессионального образования
Pages:
153-156
Received: 16 November 2023

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809
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РИНЦ
1 FGAOU VPO "Natsional'nyi issledovatel'skii universitet "Vysshaia shkola ekonomiki"
For citation:
Malyzhenkov P. V. (2023). INDUSTRY 4.0 TECHNOLOGIES: MACHINE LEARNING AND THE CUSTOMER RELATIONSHIPS MANAGEMENT. The Topical Issues of the Humanities and Social Sciences: from Theory to Practice, 153-156. Чебоксары: PH "Sreda".

Abstract

The Fourth Industrial Revolution represents the latest transformation of means of production in the history of humanity. These innovations are built upon preceding technical progress, starting from the creation of the network itself, its evolution from static to social through the introduction of blogs, wikis, and web services, further enriching it with semantic data to facilitate inter-machine interaction, and culminating in its current state. This work provides an overview of the most interesting methods and approaches in applying artificial intelligence within Industry 4.0 to address the optimization of customer relationship management systems.

References

  1. 1. Amnu H. (2017), Customer Relationship Management and Machine Learning technology for Identifying the Customer, JOIV International Journal on Informatics Visualization 1(4):12 DOI:10.30630/joiv.1.1.10;
  2. 2. Chagas B.N.R; Viana, J.A.N., Reinhold O., Lobato F., Jacob A.F.L., Rainer A. (2018), Current Applications of Machine Learning Techniques in CRM: A Literature Review and Practical Implications 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI).
  3. 3. Singh, N., Singh, P. & Gupta, M. (2020) An inclusive survey on machine learning for CRM: a paradigm shift. Decision, n. 47, https://doi.org/10.1007/s40622-020–00261-7.

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