Big data and artificial intelligence in digital finance : increasing personalization and trust in digital finance using big data and AI / edited by John Soldatos, Dimosthenis Kyriazis.

Contributor(s): Soldatos, John [editor. ] | Kyriazis, Dimosthenis [editor. ]Material type: TextTextPublisher: Cham, Switzerland : Springer, c2022Description: xxiii, 363 pages : illustrations (black and white) ; 23 cmContent type: text Media type: unmediated Carrier type: volume ISBN: 9783030945923 [paperback]Subject(s): Artificial Intelligence and Big Data | Artificial intelligence Financial applications | Big data | Blockchain | Digital Finance | FinTech
Contents:
Part I Big data and AI technologies for digital finance -- 1 A reference architecture model for big data systems in the finance sector -- 2 Simplifying and accelerating data pipelines in digital finance and insurance applications -- 3 Architecture patterns for data pipelines in digital finance and insurance applications -- 4 Semantic interoperability framework for digital finance applications -- Part II Blockchain technologies and digital currencies for digital currencies -- 5 Towards optimal technological solutions for central bank digital currencies -- 6 Historic overview and future outlook of blockchain interoperability -- 7 Efficient and accelerated KYC using blockchain technologies -- 8 Leveraging management of customers' consent exploiting the benefits of blockchain technology towards secure data sharing -- Part III Applications of big data and AI in digital finance -- 9 Addressing risk assessment in real-time for forex trading -- 10 Next-generation personalized investment recommendation -- 11 Personalized portfolio optimization using genetic (AI) algorithms -- 12 Personalized finance management for SMEs -- 13 Screening tool for anti-money laundering supervision -- 14 Analyzing large-scale blockchain transaction graphs for fraudulent activities -- 15 Cybersecurity and fraud detection in financial transactions -- Part IV Applications of big data and AI in insurance --16 Risk assessment for personalized health insurance products -- 17 Usage-based automotive insurance -- 18 Alternative data for configurable and personalized commercial insurance products -- Part V Technologies for regulatory compliance in the finance sector -- 19 Large scale data anonymisation for GDPR compliance -- 20 Overview of applicable regulations in digital finance and supporting technologies.
Summary: "This open access book presents how cutting-edge digital technologies like Big Data, Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTech, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also describes some more the most popular Big Data, AI and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, Portfolio Risk Assessment, as well as variety of novel Usage-based Insurance applications based on Internet-of-Things data. Most of the presented applications have been developed, deployed and validated in real-life digital finance settings in the context of the European Commission funded INFINITECH project, which is a flagship innovation initiative for Big Data and AI in digital finance. This book is ideal for researchers and practitioners in Big Data, AI, banking and digital finance." --Provided by the publisher
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Item type Current location Call number Status Date due Barcode
Reference (MAIN) Reference (MAIN) College Library
332.640285 B48 2022 (Browse shelf) Available 3UCBL000027834

Includes bibliographical references and index.

Part I Big data and AI technologies for digital finance -- 1 A reference architecture model for big data systems in the finance sector -- 2 Simplifying and accelerating data pipelines in digital finance and insurance applications -- 3 Architecture patterns for data pipelines in digital finance and insurance applications -- 4 Semantic interoperability framework for digital finance applications -- Part II Blockchain technologies and digital currencies for digital currencies -- 5 Towards optimal technological solutions for central bank digital currencies -- 6 Historic overview and future outlook of blockchain interoperability -- 7 Efficient and accelerated KYC using blockchain technologies -- 8 Leveraging management of customers' consent exploiting the benefits of blockchain technology towards secure data sharing -- Part III Applications of big data and AI in digital finance -- 9 Addressing risk assessment in real-time for forex trading -- 10 Next-generation personalized investment recommendation -- 11 Personalized portfolio optimization using genetic (AI) algorithms -- 12 Personalized finance management for SMEs -- 13 Screening tool for anti-money laundering supervision -- 14 Analyzing large-scale blockchain transaction graphs for fraudulent activities -- 15 Cybersecurity and fraud detection in financial transactions -- Part IV Applications of big data and AI in insurance --16 Risk assessment for personalized health insurance products -- 17 Usage-based automotive insurance -- 18 Alternative data for configurable and personalized commercial insurance products -- Part V Technologies for regulatory compliance in the finance sector -- 19 Large scale data anonymisation for GDPR compliance -- 20 Overview of applicable regulations in digital finance and supporting technologies.

"This open access book presents how cutting-edge digital technologies like Big Data, Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTech, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also describes some more the most popular Big Data, AI and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, Portfolio Risk Assessment, as well as variety of novel Usage-based Insurance applications based on Internet-of-Things data. Most of the presented applications have been developed, deployed and validated in real-life digital finance settings in the context of the European Commission funded INFINITECH project, which is a flagship innovation initiative for Big Data and AI in digital finance. This book is ideal for researchers and practitioners in Big Data, AI, banking and digital finance." --Provided by the publisher

Adult

Donation Biore, Christopher College of Business and Accountancy BSBA-Financial Management

Text in English

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