Dublin Core
Title
Big Data and Artificial Intelligence in Digital Finance:
Increasing Personalization and Trust in Digital Finance Using Big Data and AI
Increasing Personalization and Trust in Digital Finance Using Big Data and AI
Creator
Soldatos, John., Kyriazis, Dimosthenis
Description
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 of 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, and Portfolio Risk Assessment, as well as a 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.
Subject
Artificial Intelligence, Blockchain, and Big Data Applications
Publisher
Springer
Date
2022
Format
PDF
Rights
This work is licensed under a Creative Commons Attribution 4.0 International License.
Language
English
Type
Text

