Artificial Intelligence for Audit, Forensic Accounting, and Valuation

Artificial Intelligence for Audit, Forensic Accounting, and Valuation
Title Artificial Intelligence for Audit, Forensic Accounting, and Valuation PDF eBook
Author Al Naqvi
Publisher John Wiley & Sons
Pages 326
Release 2020-08-25
Genre Business & Economics
ISBN 1119601886

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Strategically integrate AI into your organization to compete in the tech era The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform accounting and auditing professions, yet its current application within these areas 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 accounting. Artificial Intelligence for Audit, Forensic Accounting, and Valuation provides a strategic viewpoint on how AI can be comprehensively integrated within audit management, leading to better automated models, forensic accounting, and beyond. No other book on the market takes such a wide-ranging approach to using AI in audit and accounting. With this guide, you’ll be able to build an innovative, automated accounting strategy, using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for audit and accounting firms. With better AI comes better results. If you aren’t integrating AI and automation in the strategic DNA of your business, you’re at risk of being left behind. See how artificial intelligence can form the cornerstone of integrated, automated audit and accounting services Learn how to build AI into your organization to remain competitive in the era of automation Go beyond siloed AI implementations to modernize and deliver results across the organization Understand and overcome the governance and leadership challenges inherent in AI strategy Accounting and auditing firms need a comprehensive framework for intelligent, automation-centric modernization. Artificial Intelligence for Audit, Forensic Accounting, and Valuation delivers just that—a plan to evolve legacy firms by building firmwide AI capabilities.

Artificial Intelligence in Accounting

Artificial Intelligence in Accounting
Title Artificial Intelligence in Accounting PDF eBook
Author Cory Ng
Publisher Taylor & Francis
Pages 135
Release 2020-12-08
Genre Business & Economics
ISBN 100033175X

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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.

Artificial Intelligence in Accounting and Auditing

Artificial Intelligence in Accounting and Auditing
Title Artificial Intelligence in Accounting and Auditing PDF eBook
Author Miklos A. Vasarhelyi
Publisher Berg Publishers
Pages 424
Release 1988
Genre Accounting
ISBN 9780854961849

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A study of artificial intelligence in accounting and auditing. Topics addressed include: expert systems for audit tasks; REA accounting database evolution; fuzzy logic - treating the uncertainty in expert systems; bankruptcy prediction via a recursive partitioning model; and more.

Artificial Intelligence in Accounting

Artificial Intelligence in Accounting
Title Artificial Intelligence in Accounting PDF eBook
Author Othmar M. Lehner
Publisher Taylor & Francis
Pages 246
Release 2022-08-05
Genre Business & Economics
ISBN 1000627330

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Artificial intelligence (AI) and Big Data based applications in accounting and auditing have become pervasive in recent years. However, research on the societal implications of the widespread and partly unregulated use of AI and Big Data in several industries remains scarce despite salient and competing utopian and dystopian narratives. This book focuses on the transformation of accounting and auditing based on AI and Big Data. It not only provides a thorough and critical overview of the status-quo and the reports surrounding these technologies, but it also presents a future outlook on the ethical and normative implications concerning opportunities, risks, and limits. The book discusses topics such as future, human-machine collaboration, cybernetic approaches to decision-making, and ethical guidelines for good corporate governance of AI-based algorithms and Big Data in accounting and auditing. It clarifies the issues surrounding the digital transformation in this arena, delineates its boundaries, and highlights the essential issues and debates within and concerning this rapidly developing field. The authors develop a range of analytic approaches to the subject, both appreciative and sceptical, and synthesise new theoretical constructs that make better sense of human-machine collaborations in accounting and auditing. This book offers academics a variety of new research and theory building on digital accounting and auditing from and for accounting and auditing scholars, economists, organisations, and management academics and political and philosophical thinkers. Also, as a landmark work in a new area of current policy interest, it will engage regulators and policy makers, reflective practitioners, and media commentators through its authoritative contributions, editorial framing and discussion, and sector studies and cases.

Artificial Intelligence in Accounting and Auditing

Artificial Intelligence in Accounting and Auditing
Title Artificial Intelligence in Accounting and Auditing PDF eBook
Author
Publisher
Pages
Release 2002
Genre
ISBN

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Robo-Auditing

Robo-Auditing
Title Robo-Auditing PDF eBook
Author Patrick J. D. Taylor
Publisher Lioncrest Publishing
Pages 120
Release 2018-07-10
Genre Business & Economics
ISBN 9781544511443

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As CFO of a large company, you might have considered adding an artificial intelligence system into your financial operations to increase efficiency, boost profits, reduce waste, and detect fraud. Only you're afraid it might be too costly and complicated. Robo-Auditing can ease your fears, providing everything you need to know about this thrilling, cutting edge technology. As an engineer with an MBA, Patrick Taylor is uniquely qualified to demystify A.I. and demonstrate its many benefits. In this extraordinary, must-read handbook, he offers essential guidelines and information to help you: - Understand how A.I. works - Incorporate "robo-auditors" into existing financial networks - Train your team to use the technology effectively - And more Implementing an A.I. system doesn't have to be difficult, intimidating, or prohibitively expensive, and it can make an enormous difference in your day-to-day operations. Robo-Auditing is your passport into the exciting future of corporate finance.

Artificial Intelligence in Accounting and Auditing

Artificial Intelligence in Accounting and Auditing
Title Artificial Intelligence in Accounting and Auditing PDF eBook
Author Miklos A. Vasarhelyi
Publisher
Pages 0
Release 1989
Genre Accounting
ISBN 9781558761780

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A study of artificial intelligence and expert systems in accounting, auditing, tax and finance. The essays are divided into five sections on: creating value with expert systems; auditing, internal auditing and tax; finance; financial decision-making issues; and system quality issues.