978-3-030-94590-9.pdf

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 institut...

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Γλώσσα:English
Έκδοση: Springer Nature 2022
Διαθέσιμο Online:https://link.springer.com/978-3-030-94590-9
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spelling oapen-20.500.12657-544292022-05-14T02:52:24Z Big Data and Artificial Intelligence in Digital Finance Soldatos, John Kyriazis, Dimosthenis Artificial Intelligence and Big Data Digital Finance FinTech Blockchain RegTech bic Book Industry Communication::T Technology, engineering, agriculture::TJ Electronics & communications engineering::TJK Communications engineering / telecommunications bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence bic Book Industry Communication::U Computing & information technology::UN Databases bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJQ Business mathematics & systems 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. 2022-05-13T12:19:03Z 2022-05-13T12:19:03Z 2022 book ONIX_20220513_9783030945909_21 9783030945909 https://library.oapen.org/handle/20.500.12657/54429 eng application/pdf n/a 978-3-030-94590-9.pdf https://link.springer.com/978-3-030-94590-9 Springer Nature Springer International Publishing 10.1007/978-3-030-94590-9 10.1007/978-3-030-94590-9 6c6992af-b843-4f46-859c-f6e9998e40d5 9783030945909 Springer International Publishing 363 Cham open access
institution OAPEN
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language English
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 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.
title 978-3-030-94590-9.pdf
spellingShingle 978-3-030-94590-9.pdf
title_short 978-3-030-94590-9.pdf
title_full 978-3-030-94590-9.pdf
title_fullStr 978-3-030-94590-9.pdf
title_full_unstemmed 978-3-030-94590-9.pdf
title_sort 978-3-030-94590-9.pdf
publisher Springer Nature
publishDate 2022
url https://link.springer.com/978-3-030-94590-9
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