Titlebook: AI and Chatbots in Fintech; Revolutionizing Digi Gioia Arnone Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive li

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Ajinkya Rajkar,Nilima Kulkarni,Aniket Raut, and the development of prediction financial tools, as shown by practical examples and real-life examples. The application of machine learning solutions in the financial technology industry involves a number of problems and hurdles, some of which include the protection of data privacy, the interpre

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https://doi.org/10.1007/978-3-642-24474-2omes to the implementation of predictive models in the FinTech business, the chapter also includes a discussion of the difficulties and considerations that must be taken into consideration. These include a wide range of considerations pertaining to the privacy of data, the interpretability of models

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https://doi.org/10.1007/978-3-642-24474-2improve fraud detection systems by using its capacity to grasp and contextualize textual material, particularly in the context of recognizing examples of financial forgeries. In these particular domains, the usefulness of ChatGPT is shown via the use of practical examples and case studies from the a

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https://doi.org/10.1007/978-981-97-0903-8ant insights, and encourage educated decision-making is shown via the use of practical examples and real-life situations. The conversation focuses on the ethical issues, problems, and prospective applications in the field of communications that are associated with cryptocurrencies. The purpose of th

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Book 2024h. Additionally, the book provides best practices for retaining customers in FinTech, including how to use AI to create personalized experiences that keep customers coming back, and explores the different applications of predictive models in FinTech, including how they are used to improve risk manag

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978-3-031-55538-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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