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REVIEW article

Front. Artif. Intell.
Sec. AI in Business
Volume 7 - 2024 | doi: 10.3389/frai.2024.1515716

An Analysis of Artificial Intelligence Automation in Digital Music Streaming Platforms for Improving Consumer Subscription Responses: A Review

Provisionally accepted
Nontokozo Mokoena Nontokozo Mokoena 1Ibidun Christiana Obagbuwa Ibidun Christiana Obagbuwa 2*
  • 1 University of Johannesburg, Johannesburg, South Africa
  • 2 Sol Plaatje University, Kimberley, South Africa

The final, formatted version of the article will be published soon.

    The rapid adoption and evolving nature of artificial intelligence (AI) is playing a significant role in shaping the music streaming industry. AI has become a key player in transforming the digital music streaming industry, particularly in enhancing user experiences and driving subscription growth. Through AI automation, platforms personalise music recommendations, optimise subscription offerings, and improve customer support services. This article reviews the role of AI in driving consumer subscription behaviours on digital music streaming platforms (DMSP), with a focus on recommendation algorithms, dynamic pricing models, marketing automation, and the future of AI in the music industry. Potential challenges related to privacy, ethics, and algorithmic biases are also discussed, showcasing how AI is revolutionising the music streaming industry.

    Keywords: Artificial Inteligence-AI, Automation, Music streaming applications, Digital music subscription, Digital Music Streaming Platforms

    Received: 23 Oct 2024; Accepted: 31 Dec 2024.

    Copyright: © 2024 Mokoena and Obagbuwa. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Ibidun Christiana Obagbuwa, Sol Plaatje University, Kimberley, South Africa

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.