Artificial Intelligence In Finance
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Artificial Intelligence In Finance
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Author : Nydia Remolina
language : en
Publisher: Edward Elgar Publishing
Release Date : 2023-04-28
Artificial Intelligence In Finance written by Nydia Remolina and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-28 with categories.
This book provides a comprehensive analysis of the primary challenges, opportunities and regulatory developments associated with the use of artificial intelligence (AI) in the financial sector. It will show that, while AI has the potential to promote a more inclusive and competitive financial system, the increasing use of AI may bring certain risks and regulatory challenges that need to be addressed by regulators and policymakers. After analysing the technological foundations of AI, the book focuses on the use and regulatory challenges of AI in the banking, capital markets and insurance industries. It also analyses, compares and assesses the different strategies and international approaches that have been adopted to address the challenges raised by the use of AI. The book concludes by providing a holistic and cross-sectoral analysis of the use of AI in the financial sector. The comprehensive, interdisciplinary, and industry-relevant approach adopted in Artificial Intelligence in Finance will provide students, practitioners and academics interested in financial markets with a broad understanding of the challenges and opportunities of AI in the financial sector. Additionally, the comparative and policy-oriented approach also adopted in the book will provide regulators and policymakers with innovative ideas and regulatory solutions that will help them address some of the most critical challenges associated with a new data-driven financial system.
The Impact Of Artificial Intelligence On Finance Transforming Financial Technologies
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Author : Shashi Kant Gupta
language : en
Publisher: Springer Nature
Release Date : 2025-08-25
The Impact Of Artificial Intelligence On Finance Transforming Financial Technologies written by Shashi Kant Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-25 with Computers categories.
This book discovers how artificial intelligence is revolutionizing the financial sector with cutting-edge insights and practical applications. This book delves into the transformative power of AI, exploring its role in enhancing customer experiences, improving security, and driving predictive analytics. By integrating emerging technologies like blockchain and quantum computing, it offers a comprehensive view of the future of finance. The book's innovative approach provides a deep dive into AI's impact on financial decision-making, fraud detection, and risk assessment. Designed for finance professionals, academics, and tech enthusiasts, it serves as a vital resource for understanding and leveraging AI in finance. Key uses include strategic planning, technology adoption, and enhancing operational efficiency in financial services.
Foundations Of Artificial Intelligence In Finance
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Author : Syed Hasan Jafar
language : en
Publisher: CRC Press
Release Date : 2026-02-04
Foundations Of Artificial Intelligence In Finance written by Syed Hasan Jafar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-02-04 with Computers categories.
This book discusses the financial impact of Artificial Intelligence (AI) on the finance and business sectors. By providing readers with comprehensive insights, real-world case studies, and expert discussions, it delves into various applications of AI in finance, including NLP for financial document analysis, predictive analytics, explainable AI, and blockchain integration. Covering a range of topics, from simplifying financial documents to predicting stock market trends and ensuring ethical investing, this book is crucial to effectively bridge the gap between technical AI concepts and practical applications, making it suitable for both specialists and non-specialists. • In-depth discussions focus on the potential impact of AI on sustainable investments, exploring how these technologies may shape the future of finance. • Emphasises the ethical implications of AI in finance, addressing the responsible use of these technologies and the importance of regulatory compliance. • Each chapter includes practical case studies that illustrate the effective use of AI in the financial industry, providing readers with relatable insights into its applications. • Aids non-specialists in comprehending complex AI concepts and demonstrates how AI can act as a smart assistant in solving intricate financial & business problems. • Leverage AI for informed decision-making, risk management, and sustainable investments, making it a pivotal reference for navigating the rapidly evolving financial landscape. The book is for professionals, data scientists, investors, policymakers, and anyone interested in understanding how AI can transform financial practices.
Artificial Intelligence Ai And Finance
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Author : Bahaaeddin A. M. Alareeni
language : en
Publisher: Springer Nature
Release Date : 2023-08-26
Artificial Intelligence Ai And Finance written by Bahaaeddin A. M. Alareeni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-26 with Technology & Engineering categories.
Artificial intelligence (AI) has the potential to significantly improve efficiency, reduce costs, and increase the speed and accuracy of financial decision-making, making it an increasingly important tool for financial professionals. One way that AI can improve efficiency in finance is by automating tasks and processes that are time-consuming and repetitive for humans. For example, AI algorithms can be used to analyze and process large amounts of data, such as financial statements and market data, in a fraction of the time that it would take a human to do so. This can allow financial professionals to focus on higher-value tasks, such as interpreting data and making strategic decisions, rather than being bogged down by mundane tasks. AI can also reduce costs in finance by increasing automation and eliminating the need for certain tasks to be performed manually. This can result in cost savings for financial institutions, which can then be passed on to customers in the form of lower fees or better services. AI can be used to identify unusual patterns of activity that may indicate fraudulent behavior. This can help financial institutions reduce losses from fraud and improve customer security. AI-powered chatbots and virtual assistants can help financial institutions provide faster, more efficient customer service, particularly when it comes to answering common questions and handling routine tasks. Some financial institutions are using AI to analyze market data and make trades in real-time. AI-powered trading algorithms can potentially make faster and more accurate trading decisions than humans. In terms of speed and accuracy, AI algorithms can analyze data and make decisions much faster than humans, and can do so with a high degree of accuracy. This can be particularly useful in fast-moving financial markets, where quick and accurate decision-making can be the difference between success and failure. This book highlights how AI in finance can improve efficiency, reduce costs, and increase the speed and accuracy of financial decision-making. Moreover, the book also focuses on how to ensure the responsible and ethical use of AI in finance. This book is a valuable resource for students, scholars, academicians, researchers, professionals, executives, government agencies, and policymakers interested in exploring the role of artificial intelligence (AI) in finance. Its goal is to provide a comprehensive overview of the latest research and knowledge in this area, and to stimulate further inquiry and exploration.
Machine Learning And Ai In Finance
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Author : German Creamer
language : en
Publisher: Routledge
Release Date : 2021-04-05
Machine Learning And Ai In Finance written by German Creamer and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-05 with Business & Economics categories.
The significant amount of information available in any field requires a systematic and analytical approach to select the most critical information and anticipate major events. During the last decade, the world has witnessed a rapid expansion of applications of artificial intelligence (AI) and machine learning (ML) algorithms to an increasingly broad range of financial markets and problems. Machine learning and AI algorithms facilitate this process understanding, modelling and forecasting the behaviour of the most relevant financial variables. The main contribution of this book is the presentation of new theoretical and applied AI perspectives to find solutions to unsolved finance questions. This volume proposes an optimal model for the volatility smile, for modelling high-frequency liquidity demand and supply and for the simulation of market microstructure features. Other new AI developments explored in this book includes building a universal model for a large number of stocks, developing predictive models based on the average price of the crowd, forecasting the stock price using the attention mechanism in a neural network, clustering multivariate time series into different market states, proposing a multivariate distance nonlinear causality test and filtering out false investment strategies with an unsupervised learning algorithm. Machine Learning and AI in Finance explores the most recent advances in the application of innovative machine learning and artificial intelligence models to predict financial time series, to simulate the structure of the financial markets, to explore nonlinear causality models, to test investment strategies and to price financial options. The chapters in this book were originally published as a special issue of the Quantitative Finance journal.
The Essentials Of Machine Learning In Finance And Accounting
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Author : Mohammad Zoynul Abedin
language : en
Publisher: Routledge
Release Date : 2021-06-20
The Essentials Of Machine Learning In Finance And Accounting written by Mohammad Zoynul Abedin and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-20 with Business & Economics categories.
This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data. Business risk and uncertainty are two of the toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.
Powering The Digital Economy Opportunities And Risks Of Artificial Intelligence In Finance
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Author : El Bachir Boukherouaa
language : en
Publisher: International Monetary Fund
Release Date : 2021-10-22
Powering The Digital Economy Opportunities And Risks Of Artificial Intelligence In Finance written by El Bachir Boukherouaa and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-22 with Business & Economics categories.
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.
Artificial Intelligence For Asset Management And Investment
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Author : Al Naqvi
language : en
Publisher: John Wiley & Sons
Release Date : 2021-01-13
Artificial Intelligence For Asset Management And Investment written by Al Naqvi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-13 with Business & Economics categories.
Make AI technology the backbone of your organization to compete in the Fintech era The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform asset management and investment banking, yet its current application within the financial sector is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation finance. Artificial Intelligence for Asset Management and Investment provides a strategic viewpoint on how AI can be comprehensively integrated within investment finance, leading to evolved performance in compliance, management, customer service, and beyond. No other book on the market takes such a wide-ranging approach to using AI in asset management. With this guide, you’ll be able to build an asset management firm from the ground up—or revolutionize your existing firm—using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for financial firms. With better AI comes better results. If you aren’t integrating AI in the strategic DNA of your firm, you’re at risk of being left behind. See how artificial intelligence can form the cornerstone of an integrated, strategic asset management framework Learn how to build AI into your organization to remain competitive in the world of Fintech Go beyond siloed AI implementations to reap even greater benefits Understand and overcome the governance and leadership challenges inherent in AI strategy Until now, it has been prohibitively difficult to map the high-tech world of AI onto complex and ever-changing financial markets. Artificial Intelligence for Asset Management and Investment makes this difficulty a thing of the past, providing you with a professional and accessible framework for setting up and running artificial intelligence in your financial operations.
Applications Of Artificial Intelligence In Business And Finance
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Author : Vikas Garg
language : en
Publisher: CRC Press
Release Date : 2021-12-22
Applications Of Artificial Intelligence In Business And Finance written by Vikas Garg and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-22 with Business & Economics categories.
As transactions and other business functions move online and grow more popular every year, the finance and banking industries face increasingly complex data management and identity theft and fraud issues. AI can bring many financial and business functions to the next level, as systems using deep learning technologies are able to analyze patterns and spot suspicious behavior and potential fraud. In this volume, the focus is on the application of artificial intelligence in finance, business, and related areas. The book presents a selection of chapters presenting cutting-edge research on current business practices in finance and management. Topics cover the use of AI in e-commerce systems, financial services, fraud prevention, identifying loan-eligible customers, online business, Facebook social commerce, insurance industry, online marketing, and more.
The Ai Book
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Author : Ivana Bartoletti
language : en
Publisher: John Wiley & Sons
Release Date : 2020-04-09
The Ai Book written by Ivana Bartoletti and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-09 with Business & Economics categories.
Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today’s Financial Services Industry · The future state of financial services and capital markets – what’s next for the real-world implementation of AITech? · The innovating customer – users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the ‘unbundled corporation’ & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important