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Menampilkan 1–2 dari 2 artikel
Artificial Intelligence in Personalized Marketing: Strategies for Enhancing Consumer Engagement
Syaharuddin
; Hidayanti, Nur Fitri
; Iswanto, Dedy
; Ningsih, Nurul Hidayati Indra
Advance Sustainable Science, Engineering and Technology
Vol 7
, No 2
(2025)
This study examines the use of artificial intelligence (AI) in personalized marketing to boost consumer engagement. Using a systematic literature review from Scopus, DOAJ, and Google Scholar, it finds that AI helps predict consumer behavior, optimize communication, and deliver real-time adaptive content. These capabilities enhance customer satisfaction and loyalty. However, challenges such as data privacy, ethical concerns, and the need for human oversight remain. The study recommends investing...
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Google Scholar
DOI
2 Sitasi
The Role of Mathematics in Machine Learning for Disease Prediction: An In-Depth Review in the Healthcare Domain
Advance Sustainable Science, Engineering and Technology
Vol 6
, No 4
(2024)
The rapid advancements in healthcare technologies and the increasing complexity of medical data have made it imperative to explore and optimize predictive models for disease management. This study aims to conduct a systematic literature review to identify advancements, challenges, and opportunities in disease prediction using machine learning (ML) within the healthcare domain. The literature sources include Scopus, DOAJ, and Google Scholar, covering the period from 2013 to 2024. The findings rev...
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Google Scholar
DOI
2 Sitasi