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Showing 2 articles found for "Customized"

The Role Of Artificial Intelligence In Personalized And Customized Engagement Marketing: A Comprehensive Review

Rolando, Benediktus
Abstract: Artificial intelligence is likely to have a significant impact on marketing strategies and customer behaviors in the years ahead. Research in this field has grown considerably, demonstrating AI's ability to simulate human… n behavior and perform tasks intelligently. With growing interest among marketing researchers and practitioners, this research aims to provide an overview of the evolution of both marketing and AI research fields. This paper explores the emerging role of artificial intelligence in personalized engagement marketing, which focuses on creating, communicating, and delivering customized offerings to customers. Utilizing the Systematic Literature Review technique, we examined over 300 academic articles to uncover prevalent themes and gain a deeper understanding of current AI utilization in marketing. We then propose a plan for future research that examines potential changes in marketing strategies and customer behaviors while emphasizing critical policy considerations related to privacy, bias, and ethics. The implications for marketing managers are discussed along with predictions about how AI will impact branding and customer management practices going forward. Our research highlighted several benefits of integrating AI into marketing such as improved customer interactions, increased revenue, reduced expenses, and enhanced overall efficiency. However, this research also pointed out areas requiring further investigation including challenges posed by AI integration like shortage of skilled personnel and data privacy concerns.

Workshop And Training Of The Drug-Drug Interaction Database Using Indonesian Drug Brand Names

Parikesit, Arli Aditya, Agustriawan, David, Valeska, Margareta Deidre, Whisnu, Andreas, Firmansyah, Moch, Veneqe, Ike, Crystalia, Audrey Amira
Abstract: Indonesia International Institute for Life Sciences (i3L) and Lira Medika Hospital have developed a customized drug-drug interaction database, named as DDIBase. It has a comprehensive library for providing annotation-specific… cific information toward the drug targets, mechanism, and interaction with other drugs. Hence, DDIBase is a new database with a brand-new user interface as well. In this regard, as DDIBase has currently reached beta stage of development, it is required to provide more comprehensive user feedback to improve its features. Thus, a workshop has been devised to explain the user guidelines, while a training has been conducted to provide system demo and user hand-on. The workshop and training attendees are faculty members of the i3L and Lira Medika Hospital Staffs. A survey has been developed to cater the user satisfaction toward the DDIBase. In this end, the survey has elicited good user satisfaction toward the developed user interface.