Kbank showcases AI-powered personalization model in academic journal

A research paper authored by Kbank employees detailing the bank's personalized recommendation system powered by artificial intelligence (AI) has been published in a leading academic journal in Korea, the bank said Monday. The publication reflects academic recognition of the company's research capabilities in AI technology, it added. The paper appeared in the Journal of the Korean Data Analysis Society (JKDAS), published by the Korean Data Analysis Society (KDAS). The journal is one of Korea's major academic publications and listed in the Korea Citation Index (KCI). Kwon Hyuk-min, Lee Sang-hyun and Cho Yong-geol of the internet-only bank's data intelligence team co-authored the paper, titled "Strategic Design of an AI-Based Recommendation System and Its Impact on User Experience: An MLOps-Driven Experimental Study in a Financial App." MLOps stands for machine learning operations. The paper presents an empirical study on the impact of the bank's AI-powered personalized recommendation system on customer behavior, user experience and overall business performance. The research is considered a mWeiter zum vollständigen Artikel bei Korea Times Weiter zum vollständigen Artikel bei Korea Times