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Contribution of Machine Learning in Advertising as a Marketing Strategy

  • Universidad Peruana de Ciencias Aplicadas

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

This study analyzes perceptions of artificial intelligence, expressed in the use of machine learning, in audiovisual production in Peru, in relation to advertising within the sociocultural context. In this sense, the objective is to understand the use of machine learning in the different phases of advertising content creation. The research methodology follows a qualitative approach, using interview techniques and content analysis to analyze the opinions of experts in the commercial sector and advertising messages. The results reveal that, in both techniques, the use of machine learning drives innovative trends in audiovisual advertising production, as well as challenges when adapting advances to the multicultural environment of Peruvian advertising. The conclusions emphasize that this tool is becoming key in the creation and dissemination of content, transforming the role of advertisers and shaping audience preferences with more interactive and personalized experiences. This research contributes to the international debate on advertising creativity, demonstrating how machine learning in non-technological contexts can strengthen audiovisual narrative when integrated in an ethical and culturally contextualized manner.

Idioma originalInglés
Título de la publicación alojadaMarketing and Smart Technologies - Proceedings of ICMarkTech 2025
EditoresJosé Luís Reis, Enrique Bigne, Zorica Bogdanovic, José Paulo Marques dos Santos
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas3-15
Número de páginas13
ISBN (versión impresa)9783032162830
DOI
EstadoPublicada - 2026
EventoInternational Conference on Marketing and Technologies, ICMarkTech 2025 - Valencia, Espana
Duración: 27 nov. 2025 → 29 nov. 2025

Serie de la publicación

NombreSmart Innovation, Systems and Technologies
Volumen473 SIST
ISSN (versión impresa)2190-3018
ISSN (versión digital)2190-3026

Conferencia

ConferenciaInternational Conference on Marketing and Technologies, ICMarkTech 2025
País/TerritorioEspana
CiudadValencia
Período27/11/25 → 29/11/25

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