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Artificial Intelligence In Accounting Auditing And Finance


Artificial Intelligence In Accounting Auditing And Finance
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Artificial Intelligence In Accounting Auditing And Finance


Artificial Intelligence In Accounting Auditing And Finance
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Author : Michael Adelowotan
language : en
Publisher:
Release Date : 2025-08-11

Artificial Intelligence In Accounting Auditing And Finance written by Michael Adelowotan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-11 with Business & Economics categories.


This book focuses on the use of Artificial Intelligence (AI) for accounting, auditing, and finance. It explores how AI can be leveraged to perform various tasks within these fields and offers real life examples to illustrate its features and facilitate implementation. The book further examines how different AI technologies, such as Machine Learning, Deep Learning, Natural Language Processing, and others, can be used to improve processes and functions in accounting and financial reporting. Furthermore, the authors explain the different subsets of Artificial Intelligence and how they can be used for practical purposes. The book provides a basic guide of these emerging technologies to help practitioners in the field to better understand how they can be implemented in their companies.



Artificial Intelligence In Accounting


Artificial Intelligence In Accounting
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Author : Cory Ng
language : en
Publisher: Routledge
Release Date : 2020-12-08

Artificial Intelligence In Accounting written by Cory Ng and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-08 with Business & Economics categories.


Artificial Intelligence in Accounting: Practical Applications was written with a simple goal: to provide accountants with a foundational understanding of AI and its many business and accounting applications. It is meant to serve as a guide for identifying opportunities to implement AI initiatives to increase productivity and profitability. This book will help you answer questions about what AI is and how it is used in the accounting profession today. Offering practical guidance that you can leverage for your organization, this book provides an overview of essential AI concepts and technologies that accountants should know, such as machine learning, deep learning, and natural language processing. It also describes accounting-specific applications of robotic process automation and text mining. Illustrated with case studies and interviews with representatives from global professional services firms, this concise volume makes a significant contribution to examining the intersection of AI and the accounting profession. This innovative book also explores the challenges and ethical considerations of AI. It will be of great interest to accounting practitioners, researchers, educators, and students.



Blockchain Artificial Intelligence And Financial Services


Blockchain Artificial Intelligence And Financial Services
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Author : Sean Stein Smith
language : en
Publisher: Springer Nature
Release Date : 2019-11-15

Blockchain Artificial Intelligence And Financial Services written by Sean Stein Smith and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-15 with Business & Economics categories.


Blockchain technology and artificial intelligence (AI) have the potential to transform how the accounting and financial services industries engage with the business, stakeholder and consumer communities. Presenting a blend of technical analysis with current and future applications, this book provides professionals with an action plan to embrace and move forward with these new technologies in financial and accounting organizations. It is written in a conversational style that is unbiased and objective, replacing jargon and technical details with real world case examples.



Artificial Intelligence In Accounting Auditing And Finance


Artificial Intelligence In Accounting Auditing And Finance
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Author : Michael Adelowotan
language : en
Publisher: Springer Nature
Release Date : 2025-05-12

Artificial Intelligence In Accounting Auditing And Finance written by Michael Adelowotan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-12 with Business & Economics categories.


This book focuses on the use of Artificial Intelligence (AI) for accounting, auditing, and finance. It explores how AI can be leveraged to perform various tasks within these fields and offers real life examples to illustrate its features and facilitate implementation. The book further examines how different AI technologies, such as Machine Learning, Deep Learning, Natural Language Processing, and others, can be used to improve processes and functions in accounting and financial reporting. Furthermore, the authors explain the different subsets of Artificial Intelligence and how they can be used for practical purposes. The book provides a basic guide of these emerging technologies to help practitioners in the field to better understand how they can be implemented in their companies.



Handbook Of Research On Applied Ai For International Business And Marketing Applications


Handbook Of Research On Applied Ai For International Business And Marketing Applications
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Author : Bryan Christiansen
language : en
Publisher:
Release Date : 2020-08-30

Handbook Of Research On Applied Ai For International Business And Marketing Applications written by Bryan Christiansen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-30 with Artificial intelligence categories.


"This book provides comprehensive research on artificial intelligence applications within the context of international business"--



The Essentials Of Machine Learning In Finance And Accounting


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.



Accounting Disrupted


Accounting Disrupted
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Author : Al Bhimani
language : en
Publisher: John Wiley & Sons
Release Date : 2021-02-04

Accounting Disrupted written by Al Bhimani 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 2021-02-04 with Business & Economics categories.


Accounting Disrupted: How Digitalization is changing Finance delivers a powerful analysis of the new technological forces buffeting the accounting profession and identifies key pathways to responding to the challenges. Al Bhimani, distinguished accountant, academic, and author, shows readers how established business fundamentals are being eclipsed and that accounting has not been spared. You'll learn: How the new realities of digitalization, including big data and AI, are affecting audit work and financial management practices How learning fast about and from more diverse data sources is essential to the new accounting environment Why accounting information must start to speak to what will take place rather than about financial activities that have occurred What finance must do in a world of changing risks, data growth, fast digitization, and increased regulation The author makes a compelling case that accounting now faces a crunch: it needs to reshape itself from the core because conventional financial analysis is proving too cumbersome and slow for executives in digitalized organizations. In a straightforward and illustrated style packed with case studies and practical examples, he shows readers how big data, blockchain, robotic process automation, and artificial intelligence, can help accountants adapt to new realities. Perfect for finance leaders in both the private and public sectors, Accounting Disrupted also belongs on the bookshelves of accounting students who wish to better prepare for the technological and professional environment in which they’ll shortly find themselves.



Artificial Intelligence For Sustainable Finance And Sustainable Technology


Artificial Intelligence For Sustainable Finance And Sustainable Technology
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Author : Abdalmuttaleb M. A. Musleh Al-Sartawi
language : en
Publisher: Springer Nature
Release Date : 2022-01-01

Artificial Intelligence For Sustainable Finance And Sustainable Technology written by Abdalmuttaleb M. A. Musleh Al-Sartawi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Technology & Engineering categories.


This book shows latest research on artificial intelligence for sustainable technology. ICGER 2021 was organized by the Accounting, Finance and Banking Department at Ahlia University, Bahrain, and was conducted on the 15th and 16th of September. The strategic partners included the University of Jordan, the Bahrain Economists Society, the Association of Chartered Certified Accountants: ACCA, Al-Barka Banking Group and the International Computer Auditing Education Association: ICAEA . The theme of the ICGER 2021 centered around artificial intelligence for sustainable finance and sustainable technology. Accordingly, the papers presented at the conference provided a holistic view of sustainable finance, sustainability, AI, financial technology, cybersecurity, blockchain, CSR, and governance. This book, unlike ever before, brings together intelligence applications of new technologies and the sustainability requirements in the era of the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations which will help societies (economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, and students) to better understand, use, and control AI applications and financial technologies to develop future strategies and to achieve sustainable development goals.



Business Intelligence Techniques


Business Intelligence Techniques
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Author : Murugan Anandarajan
language : en
Publisher: Springer Science & Business Media
Release Date : 2004

Business Intelligence Techniques written by Murugan Anandarajan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Business & Economics categories.


Modern businesses generate huge volumes of accounting data on a daily basis. The recent advancements in information technology have given organizations the ability to capture and store these data in an efficient and effective manner. However, there is a widening gap between this data storage and usage of the data. Business intelligence techniques can help an organization obtain and process relevant accounting data quickly and cost efficiently. Such techniques include, query and reporting tools, online analytical processing (OLAP), statistical analysis, text mining, data mining, and visualization. Business Intelligence Techniques is a compilation of chapters written by experts in the various areas. While these chapters stand of their own, taken together they provide a comprehensive overview of how to exploit accounting data in the business environment.



Handbook Of Financial Econometrics Mathematics Statistics And Machine Learning In 4 Volumes


Handbook Of Financial Econometrics Mathematics Statistics And Machine Learning In 4 Volumes
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Author : Cheng Few Lee
language : en
Publisher: World Scientific
Release Date : 2020-07-30

Handbook Of Financial Econometrics Mathematics Statistics And Machine Learning In 4 Volumes written by Cheng Few Lee and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-30 with Business & Economics categories.


This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.