Название: Financial Technology: Case Studies in Fintech Innovation Автор: Niels Pedersen Издательство: Kogan Page Год: 2021 Страниц: 273 Язык: английский Формат: pdf (true), epub Размер: 16.6 MB
With the continued success of fintech (financial technology) businesses around the world, financial services are becoming increasingly de-centralized, personalized, and automated. 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.
The term Artificial Intelligence (AI) is often used very liberally, especially amongst media commentators and people who have – at best – a superficial understanding of its meaning. This is unfortunate because it over-simplifies the critically important conversation that needs to be had about AI and its role in business, society, and finance. Though written with very little assumed knowledge, the Chapter 4 seeks to elevate readers’ understanding of AI. At the end of this chapter, the reader should have a solid grounding in Artificial Intelligence; what it is, how it works, and a keen appreciation of how its widespread application could impact the financial sector and society as a whole.
Chapter - 01: Networks, APIs and fintech banking platforms – How technology is decentralizing finance; Chapter - 02: Disruption and disintermediation – How financial innovation and cloud computing gave birth to the fintech revolution; Chapter - 03: Behavioural economics and experience design – How to optimize user engagement; Chapter - 04: Artificial intelligence and automation in fintech – AI and machine learning in practice; Chapter - 05: Bitcoin, blockchain and cryptocurrencies – The applications of distributed ledger technology in finance; Chapter - 06: Digitizing the price mechanism – The impact of automation and social media on financial markets; Chapter - 07: Financial crime, cybersecurity and risk management – Pitfalls and opportunities in fintech; Chapter - 08: Regtech and regulatory compliance – Financial regulation in a fintech context; Chapter - 09: Looking to the future – Optimization, decentralization and personalization
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