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Herausgeber: 
  • Yam B. Limbu
  • Sridhar Manohar
  • Arjun J Nair
  • Intersecting Natural Language Processing and FinTech Innovations in Service Marketing 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  April 2025  
    Genre:  EDV / Informatik 
     
    brand loyalty / Co-Creation / Conversational Artificial Intelligence (AI) / Customer Satisfaction / Emotional Intelligence / Employee engagement / Employee retention / Financial Services
    ISBN:  9798369399446 
    EAN-Code: 
    9798369399446 
    Verlag:  IGI Global 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 286 mm / B 221 mm / D 40 mm 
    Gewicht:  1889 gr 
    Seiten:  658 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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.

      



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