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."

During the last decades the globalization, the intensified competition and the rapid changes in the socio-economic and technological environment had a major impact on the global economic, financial and business environments. Within this environment, it is clear that banking institutions worldwide face new challenges and increasing risks, as well as increasing business potentials. The recent experience shows that achieving a sustainable development of the banking system is not only of interest to the banking institutions themselves, but it is also directly related to the development of the whole business and economic environment, both at regional and international level. The variety of new banking products that is constantly being developed to accommodate the increased customer needs (firms, organizations, individuals, etc.) provides a clear indication of the changes that the banking industry has undergone during the last two decades. The establishment of new products of innovative processes and instruments for their requires the implementation efficient management. The implementation of such processes and instruments is closely related to a variety of disciplines, advanced quantitative analysis for risk management, information technology, quality management, etc. The implementation ofthese approaches in banking management is in accordance with the finding that empirical procedures are no longer adequate to address the increasing complexity of the banking industry.

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.

The latest advancement in financial technology has posed unprecedented challenges for incumbent banks. This paper analyzes the implications of these challenges on bank competitveness, and explores the factors that could support digital advancement in banks. The analysis shows that the traditionally leading role of banks in advancing financial technology has diminished in recent years, and suggests that onoing efforts to catch up to the digital frontier could lead to a more concentrated banking industry, as smaller and less tech-savvy banks struggle to survive. Cross-country evidence has suggested that banks in high-income economies appear to have been the digital leaders, likely benefiting from a sound digital infrastructure, a strong legal and business environment, and healthy competition. Nonetheless, some digital leaders may fall behind in the coming years in adopting newer technologies due to entrenched consumer behavior favoring older technologies, less active fintech and bigtech companies, and weak bank balance sheets.

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.

We analyze how bank profitability impacts financial stability from both theoretical and empirical perspectives. We first develop a theoretical model of the relationship between bank profitability and financial stability by exploring the role of non-interest income and retail-oriented business models. We then conduct panel regression analysis to examine the empirical determinants of bank risks and profitability, and how the level and the source of bank profitability affect risks for 431 publicly traded banks (U.S., advanced Europe, and GSIBs) from 2004 to 2017. Results reveal that profitability is negatively associated with both a bank’s contribution to systemic risk and its idiosyncratic risk, and an over-reliance on non-interest income, wholesale funding and leverage is associated with higher risks. Low competition is associated with low idiosyncratic risk but a high contribution to systemic risk. Lastly, the problem loans ratio and the cost-to-income ratio are found to be key factors that influence bank profitability. The paper’s findings suggest that policy makers should strive to better understand the source of bank profitability, especially where there is an over-reliance on market-based non-interest income, leverage, and wholesale funding.

A statistical profile of the United States banking industry.

Emergent innovative financial technologies are profoundly changing the way in which we spend, move and manage our money, unlike ever before, and traditional retail banks are facing stiff competition. The global financial crisis in 2007–2009 led to large losses, and even the collapse of a significant number of established banks shaking the trust of financial customers worldwide. The Digital Banking Revolution is an insightful look at how financial technology and the rapid rise of financial technology companies have brought welcome changes offering flexibility to the banking industry. The book offers a unique perspective on the consumerization of retail banking services. It delves into the many changes that financial innovations have brought about in banking, the main financial disruptors, the new era of "banking on the go," and financial innovations from countries around the world before concluding with a discussion on the future of banking including optimizing structures, new strategies for business outcomes, and human resources in the digital era.

Banking is back in the headlines. From desperate efforts by governments to address the Eurozone crisis to the "Occupy Wall Street" movement that is currently spreading across the globe, banks are again at centre stage. This new VoxEU.org book presents a collection of essays by leading European and US economists that provide solutions to the financial crisis and proposals for medium- to long-term reforms to the regulatory framework in which financial institutions operate. Key proposals include: -- European Safe Bonds (ESBies): Critical of Eurobonds, the authors propose an alternative solution in the form of "European Safe Bonds" (ESBies) -- securities funded by currently outstanding government debt (up to 60\% of GDP) that would constitute a large pool of "safe" assets. The authors argue that ESBies would address both liquidity and solvency problems within the European banking system and, most critically, help to distinguish between the two. -- Capital and liquidity requirements -- risk weights are crucial: While ringfencing might be part of a sensible regulatory reform, it is not sufficient. Capital requirements with risk weights that are dynamic, counter-cyclical and take into account co-dependence of financial institutions are critical, and one size does not necessarily fit all. Similarly, liquidity requirements have to be adjusted to make them less rigid and pro-cyclical. While banks are currently under-taxed, the currently discussed financial transaction tax would not significantly affect banks' risk-taking behaviour and might actually increase market volatility; in addition, its revenue potential could also be overestimated. -- The need for a stronger European-wide regulatory framework: If the common European market in banking is to be saved -- and the authors argue that it should be -- then the geographic perimeter of banks has to be matched with a similar geographic perimeter in regulation, which ultimately requires stronger European-level institutions.