Smart Financial Market Ai And The Future Of Banking
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| Author | : Pritam Mehta |
| Publisher | : Centre for Academic Research and Excellence |
| Total Pages | : 419 |
| Release | : 2024-08-25 |
| Genre | : Law |
| ISBN | : 8197530882 |
Smart Financial Market: AI and the Future of Banking offers a comprehensive exploration of how artificial intelligence is transforming the financial industry. This essential read covers critical topics such as FinTech innovations, robo-advising, and evolving payment methods. The book is a collaboration of experts, including engineers, professors, law students, and bank managers, ensuring that the content is both authoritative and up-to-date with the current landscape. Delving into the intersection of technology and finance, this book provides readers with insights into the latest AI-driven solutions that are reshaping banking services. From the rise of FinTech startups disrupting traditional banking models to the advent of robo-advisors offering personalized financial guidance, this book examines how AI is creating new opportunities and challenges within the financial sector.
| Author | : Introbooks |
| Publisher | : |
| Total Pages | : 50 |
| Release | : 2020-04-07 |
| Genre | : |
| ISBN | : |
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."
| Author | : El Bachir Boukherouaa |
| Publisher | : International Monetary Fund |
| Total Pages | : 35 |
| Release | : 2021-10-22 |
| Genre | : Business & Economics |
| ISBN | : 1589063953 |
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.
| Author | : Henri Arslanian |
| Publisher | : Springer |
| Total Pages | : 318 |
| Release | : 2019-07-15 |
| Genre | : Business & Economics |
| ISBN | : 3030145336 |
This book, written jointly by an engineer and artificial intelligence expert along with a lawyer and banker, is a glimpse on what the future of the financial services will look like and the impact it will have on society. The first half of the book provides a detailed yet easy to understand educational and technical overview of FinTech, artificial intelligence and cryptocurrencies including the existing industry pain points and the new technological enablers. The second half provides a practical, concise and engaging overview of their latest trends and their impact on the future of the financial services industry including numerous use cases and practical examples. The book is a must read for any professional currently working in finance, any student studying the topic or anyone curious on how the future of finance will look like.
| Author | : Antonella Petrillo |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 382 |
| Release | : 2021-03-03 |
| Genre | : Business & Economics |
| ISBN | : 1838811877 |
Global competition has caused fundamental changes in the competitive environment of the manufacturing and service industries. Firms should develop strategic objectives that, upon achievement, result in a competitive advantage in the market place. The forces of globalization on one hand and rapidly growing marketing opportunities overseas, especially in emerging economies on the other, have led to the expansion of operations on a global scale. The book aims to cover the main topics characterizing operations management including both strategic issues and practical applications. A global environmental business including both manufacturing and services is analyzed. The book contains original research and application chapters from different perspectives. It is enriched through the analyses of case studies.
| Author | : Taneja, Sanjay |
| Publisher | : IGI Global |
| Total Pages | : 378 |
| Release | : 2024-02-12 |
| Genre | : Business & Economics |
| ISBN | : |
In the field of finance, the pervasive influence of algorithms has transformed the very fabric of the industry. Today, over 75% of trades are orchestrated by algorithms, making them the linchpin for trade automation, predictions, and decision-making. This algorithmic reliance, while propelling financial services into unprecedented efficiency, has also ushered in a host of challenges. As the financial sector becomes increasingly algorithm-driven, concerns about risk assessment, market manipulation, and the ethical implications of automated decision-making have taken center stage. Artificial Intelligence and Machine Learning-Powered Smart Finance, meticulously examines the intersection of computational finance and advanced algorithms and the challenges associated with this technology. As algorithms permeate various facets of financial services, the book takes a deep dive into their applications, spanning forecasting, portfolio optimization, market trends analysis, and cryptoanalysis. It sheds light on the role of AI-based algorithms in personnel selection, implementing trusted financial services, developing recommendation systems for financial platforms, and detecting fraud, presenting a compelling case for the integration of innovative solutions in the financial sector. As the book unravels the intricate tapestry of algorithmic applications in finance, it also illuminates the ethical considerations and governance frameworks essential for navigating the delicate balance between technological innovation and responsible financial practices.
| Author | : John Hill |
| Publisher | : Academic Press |
| Total Pages | : 388 |
| Release | : 2018-05-17 |
| Genre | : Business & Economics |
| ISBN | : 0128134984 |
FinTech and the Remaking of Financial Institutions explores the transformative potential of new entrants and innovations on business models. In its survey and analysis of FinTech, the book addresses current and future states of money and banking. It provides broad contexts for understanding financial services, products, technology, regulations and social considerations. The book shows how FinTech has evolved and will drive the future of financial services, while other FinTech books concentrate on particular solutions and adopt perspectives of individual users, companies and investors. It sheds new light on disruption, innovation and opportunity by placing the financial technology revolution in larger contexts. - Presents case studies that depict the problems, solutions and opportunities associated with FinTech - Provides global coverage of FinTech ventures and regulatory guidelines - Analyzes FinTech's social aspects and its potential for spreading to new areas in banking - Sheds new light on disruption, innovation and opportunity by placing the financial technology revolution in larger contexts
| Author | : Bill Martin CFA |
| Publisher | : Harriman House Limited |
| Total Pages | : 207 |
| Release | : 2017-10-25 |
| Genre | : Business & Economics |
| ISBN | : 0857195840 |
| Author | : Shigeyuki Hamori |
| Publisher | : MDPI |
| Total Pages | : 230 |
| Release | : 2020-07-01 |
| Genre | : Business & Economics |
| ISBN | : 3039362240 |
Artificial intelligence (AI) is regarded as the science and technology for producing an intelligent machine, particularly, an intelligent computer program. Machine learning is an approach to realizing AI comprising a collection of statistical algorithms, of which deep learning is one such example. Due to the rapid development of computer technology, AI has been actively explored for a variety of academic and practical purposes in the context of financial markets. This book focuses on the broad topic of “AI and Financial Markets”, and includes novel research associated with this topic. The book includes contributions on the application of machine learning, agent-based artificial market simulation, and other related skills to the analysis of various aspects of financial markets.
| Author | : Yves Hilpisch |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 478 |
| Release | : 2020-10-14 |
| Genre | : Business & Economics |
| ISBN | : 1492055387 |
The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading. Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book. In five parts, this guide helps you: Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI) Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets Identify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategies Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about
