TY - GEN
T1 - Contribution of Machine Learning in Advertising as a Marketing Strategy
AU - Fernández Rodríguez, Ivo Frank
AU - Del Pilar Caramutti De La Piedra, Rosalia
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - 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.
AB - 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.
KW - Artificial Intelligence (AI)
KW - Machine Learning
KW - Marketing
UR - https://www.scopus.com/pages/publications/105039016782
U2 - 10.1007/978-3-032-16284-7_1
DO - 10.1007/978-3-032-16284-7_1
M3 - Contribución a la conferencia
AN - SCOPUS:105039016782
SN - 9783032162830
T3 - Smart Innovation, Systems and Technologies
SP - 3
EP - 15
BT - Marketing and Smart Technologies - Proceedings of ICMarkTech 2025
A2 - Reis, José Luís
A2 - Bigne, Enrique
A2 - Bogdanovic, Zorica
A2 - Santos, José Paulo Marques dos
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Marketing and Technologies, ICMarkTech 2025
Y2 - 27 November 2025 through 29 November 2025
ER -