Personalized Financial Services through NLP and AI-Driven Innovations in FinTech

Rahul Kumar Ghosh, Meghdoot Ghosh, Debaleena Roy, Bijoy Gupta, Sanjukta Chakraborty, Abhijit Biswas, Mahuya Basu

Research output: Chapter in Book/Published conference outputChapter (peer-reviewed)peer-review

Abstract

Individualized financial services are becoming more prevalent in the rapidly changing FinTech environment because to attract & retain clients alike. The effect of NLP & AI-driven solutions is profound in how financial institutions interact with their customers. This chapter examines how NLP & AI are changing personalized service delivery within the FinTech industry. It looks at real-world applications that highlight customer communications through NLP-driven chatbots, virtual assistants, & recommendation engines meant for providing tailored investment strategies, financial advice on an individual basis or assistance. Together, data privacy, algorithmic bias, or regulatory compliance remain among the toughest challenges faced by the systems hence this chapter provides insights into how financial institutions can utilize them morally without contravening any laws in place. On one hand, it examines opportunities associated with AI-based personalization in FinTech while exploring its inherent risks thus giving a clear picture of future customer engagement in financial services.
Original languageEnglish
Title of host publicationIntersecting Natural Language Processing and FinTech Innovations in Service Marketing
EditorsArjun J. Nair, Sridhar Manohar, Yam B. Limbu, Bruce A. Huhmann
PublisherIGI Global
Chapter19
Pages371-420
Number of pages50
ISBN (Electronic)9798369399460
ISBN (Print)9798369399446, 9798369399453
DOIs
Publication statusPublished - 25 Apr 2025

Publication series

NameIntersecting Natural Language Processing and FinTech Innovations in Service Marketing
PublisherIGI Global

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