Financial Technology
eBook - ePub

Financial Technology

Case Studies in Fintech Innovation

Niels Pedersen

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eBook - ePub

Financial Technology

Case Studies in Fintech Innovation

Niels Pedersen

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About This Book

Fintech continues to revolutionize financial services. Financial Technology shows you how to navigate this increasingly de-centralized, personalized and automated environment. This new textbook strikes a balance between academic depth and commercial relevance in examining the advantages and challenges of these changes through the lens of various analytical frameworks. Financial Technology demystifies key technologies, such as blockchains, APIs, AI, machine learning, and cloud computing, in a clear and accessible style suitable for readers with no technological background.Real-world case studies from a variety of international organizations including Lloyds Bank, TransferWise, Generali, Starling and Stocktwits, bridge the gap between theory and practice and contextualize learning in terms of real businesses, from large incumbents to smaller start-ups. With coverage of robo-advisors, mobile-only banks, open banking and risk and regulation, this book also explores a range of analytical frameworks to critically examine new technologies and emerging business models. Financial Technology enables readers to understand the fintech movement in the context of recent financial history, examine the key drivers of change and form insights about the financial system in a forward-looking and global manner. Online resources include PowerPoint slides for lecturers and additional case studies.

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Information

Publisher
Kogan Page
Year
2020
ISBN
9781789665444
Edition
1
Subtopic
Finance

Index

Page numbers in bold indicate glossary items
Aadhaar digital identity initiative in India 227, 228, 240
Admiral insurance company 8588
Adobe Photoshop, transition to a subscription model 35
affective computing 232
algorithms 240
Alipay 18
AlphaGo (Google) 79
AlphaGoZero (Google) 79
Amazon, 1-Click Ordering service 52
Amazon Echo, banking by voice with Alexa (case study) 22324, 234
AML/CFT 240 see also anti-money laundering; counter-terrorism financing
anchoring effect 5657, 240
anonymization and data security 16769
anti-money laundering (AML) 240
cryptocurrencies and 20507
procedures 205
APIs see Application Programming Interfaces
Apple HomePod 223
Apple iMessage app 6162
Apple iPhone 53
Apple iPod 53
Application Programming Interfaces (APIs) 67, 228
API-based business models in financial services 79
role in Banking as a Service 3637
artificial intelligence (AI) 240
autonomy and 78
bias in AI algorithms 9394
‘black box’ problem 9293
code of conduct 20204
concept drift problem 9394
considerations when using algorithms 9296, 98
data monopolization issue 9495
data protection issues 198202
definition 7778
discrimination related to AI algorithms 94
distinction from Big Data 80
distinction from machine learning 8182
ethical issues 9296, 98
fintech applications 7698
history of development 7879
Internet of Things (IoT) applications 22526
lack of transparency in algorithms 9293
machine learning and credit risk (Zopa case study) 9596, 98
narrow vs broader AI 77, 78
natural language processing (NLP) 142
performance monitoring and recalibration 9394
practical issues 9296, 98
testing of algorithms 93
Turing Test 7778
asset-backed cryptocurrencies 123, 12426, 128
Global stablecoins (GSCs) (case study) 21011, 21213
Augur decentralized prediction market (case study) 15253, 156
authority heuristic 175
automata 78
automation
fintech app...

Table of contents