Artificial Intelligence And Business Transformation In Financial Services

This book presents a collection of state-of-the-art research findings on the digital transformation of financial services. Digitalization has fundamentally changed financial services and has a tendency to reshape the landscape of the financial industry in an unprecedented manner. Over the last ten years, the development of new financial technologies has contributed to the creation of new business and organizational models, along with new approaches to service delivery. By encompassing significant conceptual contributions, innovations in methods and techniques, and by delineating the main applications of digital transformation in Central and Eastern Europe (CEE), the volume extends current knowledge on digital transformation in the financial industry. The book is divided into two parts. The first part provides a social-science perspective on digital transformation in the financial industry. The second part provides the most recent evidence on how financial technologies are transforming financial services on the markets, and how the adoption of modern information technologies fosters setting up new financial services. Further, this part outlines new approaches to digital transformation in the financial industry. This book will appeal to students, scholars, and researchers of finance, monetary economics, and business, as well as practitioners interested in a better understanding of the digital transformation of financial services, new financial technologies, and innovations in finance.

In these highly competitive times and with so many technological advancements, it is impossible for any industry to remain isolated and untouched by innovations. In this era of digital economy, the banking sector cannot exist and operate without the various digital tools offered by the ever new innovations happening in the field of Artificial Intelligence (AI) and its sub-set technologies. New technologies have enabled incredible progression in the finance industry. Artificial Intelligence (AI) and Machine Learning (ML) have provided the investors and customers with more innovative tools, new types of financial products and a new potential for growth.According to Cathy Bessant (the Chief Operations and Technology Officer, Bank of America), AI is not just a technology discussion. It is also a discussion about data and how it is used and protected. She says, "In a world focused on using AI in new ways, we're focused on using it wisely and responsibly."

Bill Gates’ quote, “Banking is necessary, but banks are not,” showcases the opportunity for financial services digital transformation. The next transition from industry 4.0 to 5.0 will impact all sectors, including banking. It will combine information technology and automation, based on artificial intelligence, person-robot collaboration, and sustainability. It is time to analyze this transformation in banking deeply, so that the sector can adequately change to the ‘New Normal’ and a wholly modified banking model can be properly embedded in the business. This book presents a conceptual model of banking 5.0, detailing its implementation in processes, platforms, people, and partnerships of financial services organizations companies. The last part of the book is then dedicated to future developments. Of interest to academics, researchers, and professionals in banking, financial technology, and financial services, this book also includes business cases in financial services.

Artificial intelligence is driving the next revolution in banking, with disruptive forces presenting profound challenges to traditional business models. As the adoption of new technologies, and innovation of even newer ones, accelerates, are we fast approaching a future in which banks no longer have a need for assets or, indeed, for humans? Is there a future in which bankers themselves, if not banks, disappear altogether? Are we approaching a “singularity moment,” in which advances in artificial intelligence trigger rapid and uncontrollable technological growth, leading to incalculable changes to society and, indeed, our very humanity? Would this empower us, or would it seize control of our very destiny? In practice, as it relates to banking, we may be facing not just a single, but multiple moments of singularity. This book examines the ways in which advances in artificial intelligence could become industrializable across each of the main value chains of the international banking system.

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

This book demystifies the developments and defines the buzzwords in the wide open space of digitalization and finance, exploring the space of FinTech through the lens of the financial services professional and what they need to know to stay ahead. With chapters focusing on the customer interface, payments, smart contracts, workforce automation, robotics, crypto currencies and beyond, this book aims to be the go-to guide for professionals in financial services and banking on how to better understand the digitalization of their industry.​ The book provides an outlook of the impact digitalization will have in the daily work of a CFO/CRO and a structural influence to the financial management (including risk management) department of a bank.

This book, one of three volumes, showcases the effective transformation of companies providing banking and insurance services. This first volume gives a business-oriented introduction to the setting and the current challenges of fintech, regtech, and insurtech and provides an outlook on what will be needed in the future. Specific sub-departments in financial services are examined with a view to accounting, risk, and regulatory segments. The book also addresses the importance of cultural aspects of the coming digital transformation with an eye to requirements that will enable a digital bank or insurance company to thrive in 2025. The angle shifts over the volumes from a business-driven approach in “Disruption and DNA” to a strong technical focus in “Data Storage, Processing and Analysis”, leaving “Digitalization and Machine Learning Applications” with the business and technical aspects in-between.

This book offers an in-depth analysis of the most salient features of contemporary financial systems and clarifies the major strategic issues facing the development of digital finance. It provides insight into how the digital finance system actually works in a socioeconomic context. It presents three key messages: that digital transformation will change the financial system entirely, that the State has a particularly important role to play in the whole process and that consumers will be offered more opportunities and freedom but simultaneously will be exposed to more risk and challenges. The book is divided into four parts. It begins by laying down the fundamentals of the subsequent analysis and offers a deep understanding of digital finance, including a topology of the key technologies applied in the transformation process. The next part reviews the challenges facing the digital State in the new reality, the digitalization of public finance and the development of digitally relevant taxation systems. In the third part, digital consumer aspects are discussed. The final part examines the risks and challenges of digital finance. The authors focus their attention on three key developments in financial markets: accelerated growth in terms of the importance of algorithms, replacing existing legal regulations; the expansion of cyber risk and its growing impact and finally the emergence of new dimensions of systemic risk as a side effect of financial digitalization. The authors supplement the analysis with a discussion of how these new risks and challenges are monitored and mitigated by financial supervision. The book is a useful, accessible guide to students and researchers of finance, finance and technology, regulations and compliance in finance.