International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 11 Issue: 05 | May 2024
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p-ISSN: 2395-0072
OPTIMIZING CUSTOMER EXPERIENCE THROUGH AI-POWERED PERSONALIZATION IN BANKING: DATA ENGINEERING PERSPECTIVES Giriprasad Manoharan Atyeti Inc., USA ------------------------------------------------------------------------***-------------------------------------------------------------------------
ABSTRACT: The banking industry is undergoing a significant transformation, driven by the increasing demand for personalized customer experiences. As banks strive to remain competitive in the digital age, leveraging artificial intelligence (AI) and data engineering techniques has become paramount. This research paper explores the role of data engineering in enabling AI-powered personalization initiatives in the banking sector, focusing on enhancing customer engagement and satisfaction. By examining the data engineering infrastructure, methodologies, and challenges, this paper provides valuable insights for banks seeking to optimize their personalization strategies. Keyword: AI-Powered Personalization, Data Engineering, Banking Industry, Customer Experience Optimization, Regulatory Compliance
INTRODUCTION: In recent years, the banking industry has witnessed a paradigm shift towards customer-centricity, with personalization emerging as a key differentiator [1]. According to a study by Accenture, 91% of consumers are more likely to shop with brands that provide relevant offers and recommendations [2]. Furthermore, a report by Epsilon found that 80% of customers are more likely to purchase from companies that offer personalized experiences [3].
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