Author Description

Disruptive paradigms emerge from the accelerating advancements in natural language processing (NLP) and financial technology (FinTech), which present unparalleled opportunities in customer engagement. In an era where personalized experiences and sophisticated artificial intelligence (AI) interactions are pivotal for brand success, it is imperative for businesses to capitalize on AI s capabilities for customer needs. By translating theoretical progress into actionable strategies, business can craft deeply personalized messages and experiences. Adopting these technologies to meet evolving consumer expectations and cultivating enduring customer loyalty is of strategic importance. Intersecting Natural Language Processing and FinTech Innovations in Service Marketing provides a meticulous analysis of these underlying technologies, bolstered by empirical case studies demonstrating successful integrations. Critical issues such as data privacy, security, and ethical considerations are also addressed, offering a comprehensive perspective on the opportunities and challenges inherent in this dynamic field. Covering topics such as pricing insinuations, key performance indicators (KPIs), and vulnerable consumers, this book is an excellent resource for computer engineers, marketers, policymakers, business owners, researchers, academicians, and more.