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Informations sur le produit "Big Data and Artificial Intelligence in Digital Finance"

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.

Sous-titre
Increasing Personalization and Trust in Digital Finance using Big Data and AI

H | L | P | g
241 mm | 160 mm | 27 mm | 694 gr

Année de publication
2022

Classification d'âge
0

Édition
Hardcover

Éditeur
Palgrave Macmillan

ISBN-10
3030945898

ISBN-13
9783030945893

Autres contributeurs
Kyriazis, Dimosthenis | Soldatos, John

Langue
Englisch

Nombre de Pages
388

Thèmes
Wirtschaftsmathematik und -informatik, IT-Management, Künstliche Intelligenz KI, Unternehmensanwendungen, Datenbanken / Datenmanagement, Nachrichtententechnik, Telekommunikation

Personne responsable selon l'art. 16 GPSR
Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115, Heidelberg, DE, ProductSafety@springernature.com

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