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001 978-3-031-55536-7
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020 _a9783031555367
_9978-3-031-55536-7
024 7 _a10.1007/978-3-031-55536-7
_2doi
050 4 _aHG176.7
072 7 _aKFF
_2bicssc
072 7 _aBUS017000
_2bisacsh
072 7 _aKFF
_2thema
100 1 _aArnone, Gioia.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_976952
245 1 0 _aAI and Chatbots in Fintech
_h[electronic resource] :
_bRevolutionizing Digital Experiences and Predictive Analytics /
_cby Gioia Arnone.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aVI, 125 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aContributions to Finance and Accounting,
_x2730-6046
505 0 _aIntroduction to AI in Fintech -- The role of chatbots in Fintech -- Business framework of AI-based ChatGPT in Fintech -- Predictive analytics and machine learning in Fintech -- ChatGPT to decide buying behavior -- Reshaping the digital experience through ML in Fintech -- Best practices for retaining customers in Fintech -- Applications of predictive models in Fintech -- ChatGPT for stock price prediction and detecting financial frauds -- ChatGPT and cryptocurrency.
520 _aThis 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 management and fraud detection. Lastly, the book discusses the use of ChatGPT for stock price prediction and the detection of financial fraud and examines the role of ChatGPT in the world of cryptocurrency, including how it can be used to make informed investment decisions. Overall, this book provides a comprehensive overview of the different ways AI is being used in FinTech and the potential it holds for improving customer experiences and driving innovation in the financial industry.
650 0 _aFinancial engineering.
_958071
650 0 _aFinancial services industry.
_960413
650 0 _aCapital market.
_959069
650 0 _aTechnological innovations.
_959244
650 0 _aCommercial law.
_970222
650 1 4 _aFinancial Technology and Innovation.
_969289
650 2 4 _aFinancial Services.
_969064
650 2 4 _aCapital Markets.
_970943
650 2 4 _aInnovation and Technology Management.
_966187
650 2 4 _aBusiness Law.
_973854
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031555350
776 0 8 _iPrinted edition:
_z9783031555374
776 0 8 _iPrinted edition:
_z9783031555381
830 0 _aContributions to Finance and Accounting,
_x2730-6046
_972528
856 4 0 _uhttps://doi.org/10.1007/978-3-031-55536-7
912 _aZDB-2-BUM
912 _aZDB-2-SXBM
999 _c59919
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