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Titlebook: Big Data and Artificial Intelligence in Digital Finance; Increasing Personali John Soldatos,Dimosthenis Kyriazis Book‘‘‘‘‘‘‘‘ 2022 The Edit

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發(fā)表于 2025-3-21 18:14:44 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Big Data and Artificial Intelligence in Digital Finance
期刊簡稱Increasing Personali
影響因子2023John Soldatos,Dimosthenis Kyriazis
視頻videohttp://file.papertrans.cn/186/185672/185672.mp4
發(fā)行地址Introduces advances in Big Data and AI in Digital Finance that enable scalable, real-time analytics.Explains the merits of Blockchain in digital finance, including applications beyond the blockbuster
圖書封面Titlebook: Big Data and Artificial Intelligence in Digital Finance; Increasing Personali John Soldatos,Dimosthenis Kyriazis Book‘‘‘‘‘‘‘‘ 2022 The Edit
影響因子.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..
Pindex Book‘‘‘‘‘‘‘‘ 2022
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發(fā)表于 2025-3-21 21:48:09 | 只看該作者
Datafication Principles and Patterns,he financial institutions to effectively manage and share their customers’ consents in a transparent and unambiguous manner, ensuring compliance to PSD2 and GDRP, while lowering the barriers of secure data sharing.
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發(fā)表于 2025-3-22 01:40:20 | 只看該作者
Armando Vieira,Bernardete Ribeirogenetic algorithms” is being developed and presented in this chapter. The optimization process is built using artificial intelligence approaches. This allows optimization results to be explained based on the selected customer’s preferences. The solution is designed as an open framework, which enable
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發(fā)表于 2025-3-22 08:07:22 | 只看該作者
Armando Vieira,Bernardete Ribeiroc predefined scenarios using newly developed state-of-the-art AI method tailored specifically to time-evolving transaction graphs in transaction data. Easy-to-use tools, early warning system and subsequent parameterized queries with additional white-listed scenarios provide domain experts with addit
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發(fā)表于 2025-3-22 11:56:29 | 只看該作者
Historic Overview and Future Outlook of Blockchain Interoperabilityisions. Their attempts at change often result in divided communities and further balkanization. This dissolution threatens the integrity of the decentralized space, as desolate systems are susceptible to manipulation. Some believe that the future of the wider decentralised ecosystem will rely on a W
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發(fā)表于 2025-3-22 14:10:45 | 只看該作者
Leveraging Management of Customers’ Consent Exploiting the Benefits of Blockchain Technology Towardshe financial institutions to effectively manage and share their customers’ consents in a transparent and unambiguous manner, ensuring compliance to PSD2 and GDRP, while lowering the barriers of secure data sharing.
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發(fā)表于 2025-3-22 19:04:10 | 只看該作者
Personalized Portfolio Optimization Using Genetic (AI) Algorithmsgenetic algorithms” is being developed and presented in this chapter. The optimization process is built using artificial intelligence approaches. This allows optimization results to be explained based on the selected customer’s preferences. The solution is designed as an open framework, which enable
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發(fā)表于 2025-3-23 02:40:37 | 只看該作者
Book‘‘‘‘‘‘‘‘ 2022e 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..
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發(fā)表于 2025-3-23 09:10:40 | 只看該作者
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