Artificial Intelligence for Big Data in Modern Marketing: A Review about Trends, Applications, and Challenges. DOI Creative Commons

Chantal Uwimana,

Clemence Niyigena,

Gedeon Nshutiyimana

и другие.

International Journal of Latest Technology in Engineering Management & Applied Science, Год журнала: 2025, Номер 14(2), С. 165 - 183

Опубликована: Март 13, 2025

Abstract: The rapid digital transformation has triggered an explosion in data generation, with its core impact on the marketing landscape. Big data, huge volumes, speed, and variety, is thus a significant field of opportunities challenges for marketers seeking to unravel actionable insights. Traditional approaches processing are only inefficient unable manage such scale complexity data. However, advent AI, quite few advanced tools can handle big greater efficiency, enabling better consumer understanding, personalization strategies, quick decision-making. It revolutionized marketing, where systems now analyze datasets, recognize patterns, predict customer behaviors. From descriptive analytics, shift toward predictive prescriptive empowered businesses optimize campaigns enhanced experiences. This integration AI means it be done instantly, real-time response fostering more relevant engagement. review delivers critical outlook current trends their application face implementing these new technologies. Ethical issues around privacy, transparency, bias models discussed. paper highlights future research directions, including federated learning, quantum computing, multimodal which hold great promise even further domain.

Язык: Английский

Artificial Intelligence for Big Data in Modern Marketing: A Review about Trends, Applications, and Challenges. DOI Creative Commons

Chantal Uwimana,

Clemence Niyigena,

Gedeon Nshutiyimana

и другие.

International Journal of Latest Technology in Engineering Management & Applied Science, Год журнала: 2025, Номер 14(2), С. 165 - 183

Опубликована: Март 13, 2025

Abstract: The rapid digital transformation has triggered an explosion in data generation, with its core impact on the marketing landscape. Big data, huge volumes, speed, and variety, is thus a significant field of opportunities challenges for marketers seeking to unravel actionable insights. Traditional approaches processing are only inefficient unable manage such scale complexity data. However, advent AI, quite few advanced tools can handle big greater efficiency, enabling better consumer understanding, personalization strategies, quick decision-making. It revolutionized marketing, where systems now analyze datasets, recognize patterns, predict customer behaviors. From descriptive analytics, shift toward predictive prescriptive empowered businesses optimize campaigns enhanced experiences. This integration AI means it be done instantly, real-time response fostering more relevant engagement. review delivers critical outlook current trends their application face implementing these new technologies. Ethical issues around privacy, transparency, bias models discussed. paper highlights future research directions, including federated learning, quantum computing, multimodal which hold great promise even further domain.

Язык: Английский

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