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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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發(fā)表于 2025-3-21 16:23:09 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱AI and Chatbots in Fintech
期刊簡(jiǎn)稱Revolutionizing Digi
影響因子2023Gioia Arnone
視頻videohttp://file.papertrans.cn/143/142801/142801.mp4
發(fā)行地址Illustrates the impact of new technological developments in FinTech.Discusses best practices for customer retention in FinTech.Analyzes ChatGPT in cryptomarkets and capital markets
學(xué)科分類Contributions to Finance and Accounting
圖書封面Titlebook: AI and Chatbots in Fintech; Revolutionizing Digi Gioia Arnone Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive li
影響因子.This book is a comprehensive guide to the use of Artificial Intelligence (AI) in the Financial Technology (FinTech) industry. It is comprised of ten chapters, each addressing a specific aspect of AI in FinTech. The reader is introduced to AI in FinTech, including its history and current state and the role of chatbots in FinTech and how they are used to improve customer service. Furthermore, the book explores the business framework of AI-based ChatGPT in FinTech, including the technology behind ChatGPT and how it can be applied to various financial sectors. The book examines the use of predictive analytics and machine learning in FinTech, highlighting how these tools are used to predict customer behavior and improve decision-making. The author delves into how ChatGPT is used to determine buying behavior and discusses the use of machine learning to reshape the digital experience in FinTech. 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
Pindex Book 2024
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發(fā)表于 2025-3-21 21:02:13 | 只看該作者
2730-6038 GPT in cryptomarkets and capital markets.This book is a comprehensive guide to the use of Artificial Intelligence (AI) in the Financial Technology (FinTech) industry. It is comprised of ten chapters, each addressing a specific aspect of AI in FinTech. The reader is introduced to AI in FinTech, inclu
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發(fā)表于 2025-3-22 04:10:36 | 只看該作者
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發(fā)表于 2025-3-22 06:21:29 | 只看該作者
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發(fā)表于 2025-3-22 10:11:28 | 只看該作者
The Role of Chatbots in FinTech,opics - nine of them are dedicated to object-oriented programming, five of them are dedicated to advanced concepts of C#, and one of them is dedicated to design patterns, with coverage of three Gang of Four design patterns with C# implementations. Finally,?.Interactive C#.?contains an FAQ section to
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發(fā)表于 2025-3-22 14:48:11 | 只看該作者
Business Framework of AI-Based ChatGPT in FinTech,d they change over time. This leads to the interesting question of what a computational theory of interactive, evolving programs should look like. While the behavior of such programs has been well-studied in concurrency theory, there has been much less emphasis on their computational aspects. A theo
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發(fā)表于 2025-3-22 18:19:13 | 只看該作者
Predictive Analytics and Machine Learning in FinTech,y displays, sound, animation, and motion video. The focus is on business or organizational applications rather than consumer applications, but much of the information is applicable to either environment. These types of computer systems are distinguished from the traditional systems found in data pro
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發(fā)表于 2025-3-22 23:38:41 | 只看該作者
ChatGPT to Decide Buying Behavior, geological, physical, medical, and different other phenomena. This book presents a description and analysis of a variety of classes of splines for use in CAGD (computer-aided geometric design), CAD (computer-aided design), CAE (computer-aided engineering), CAM (computer-aided manufacturing), comput
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發(fā)表于 2025-3-23 02:18:04 | 只看該作者
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發(fā)表于 2025-3-23 07:45:47 | 只看該作者
Best Practices for Retaining Customers in FinTech, stored rule method and the constructive method. According to the former, individuals refer to a repertoire of already existing decision rules stored in memory. Whenever needed, these rules are directly retrieved in choosing an alternative same as subroutines are called by a software program. The de
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