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Big Data in Finance - Opportunities and Challenges of Financial Digitalization (Hardcover, 1st ed. 2022) Loot Price: R2,459
Discovery Miles 24 590
Big Data in Finance - Opportunities and Challenges of Financial Digitalization (Hardcover, 1st ed. 2022): Thomas Walker,...

Big Data in Finance - Opportunities and Challenges of Financial Digitalization (Hardcover, 1st ed. 2022)

Thomas Walker, Frederick Davis, Tyler Schwartz

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Loot Price R2,459 Discovery Miles 24 590 | Repayment Terms: R230 pm x 12*

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This edited book explores the unique risks, opportunities, challenges, and societal implications associated with big data developments within the field of finance. While the general use of big data has been the subject of frequent discussions, this book will take a more focused look at big data applications in the financial sector. With contributions from researchers, practitioners, and entrepreneurs involved at the forefront of big data in finance, the book discusses technological and business-inspired breakthroughs in the field. The contributions offer technical insights into the different applications presented and highlight how these new developments may impact and contribute to the evolution of the financial sector. Additionally, the book presents several case studies that examine practical applications of big data in finance. In exploring the readiness of financial institutions to adapt to new developments in the big data/artificial intelligence space and assessing different implementation strategies and policy solutions, the book will be of interest to academics, practitioners, and regulators who work in this field.

General

Imprint: Palgrave Macmillan
Country of origin: Switzerland
Release date: October 2022
First published: 2022
Editors: Thomas Walker • Frederick Davis • Tyler Schwartz
Dimensions: 210 x 148mm (L x W)
Format: Hardcover
Pages: 272
Edition: 1st ed. 2022
ISBN-13: 978-3-03-112239-2
Categories: Books > Business & Economics > Finance & accounting > Finance > General
Books > Computing & IT > Applications of computing > Databases > General
Books > Money & Finance > General
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LSN: 3-03-112239-9
Barcode: 9783031122392

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