Download or read book Artificial Intelligence for Audit Forensic Accounting and Valuation written by Al Naqvi and published by John Wiley & Sons. This book was released on 2020-08-25 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Artificial Intelligence in Accounting and Auditing written by Miklos A. Vasarhelyi and published by Berg Publishers. This book was released on 1988 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Artificial Intelligence in Accounting and Auditing written by and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Artificial Intelligence in Accounting written by Cory Ng and published by Taylor & Francis. This book was released on 2020-12-08 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Artificial Intelligence in Accounting written by Othmar M. Lehner and published by Taylor & Francis. This book was released on 2022-08-05 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Artificial Intelligence in Accounting and Auditing written by Miklos A. Vasarhelyi and published by . This book was released on 1989 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: The articles in this volume offer an introductory overview of artificial intelligence in accounting and auditing. They seek to provide a logically arranged and usable handbook of artificial intelligence, decision support, and expert systems in accounting and auditing.
Download or read book Artificial Intelligence in Accounting and Auditing Creating value with AI written by Miklos A. Vasarhelyi and published by . This book was released on 1989 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Artificial Intelligence in Accounting and Auditing written by Miklos A. Vasarhelyi and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Machine Learning Applications for Accounting Disclosure and Fraud Detection written by Papadakis, Stylianos and published by IGI Global. This book was released on 2020-10-02 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: The prediction of the valuation of the “quality” of firm accounting disclosure is an emerging economic problem that has not been adequately analyzed in the relevant economic literature. While there are a plethora of machine learning methods and algorithms that have been implemented in recent years in the field of economics that aim at creating predictive models for detecting business failure, only a small amount of literature is provided towards the prediction of the “actual” financial performance of the business activity. Machine Learning Applications for Accounting Disclosure and Fraud Detection is a crucial reference work that uses machine learning techniques in accounting disclosure and identifies methodological aspects revealing the deployment of fraudulent behavior and fraud detection in the corporate environment. The book applies machine learning models to identify “quality” characteristics in corporate accounting disclosure, proposing specific tools for detecting core business fraud characteristics. Covering topics that include data mining; fraud governance, detection, and prevention; and internal auditing, this book is essential for accountants, auditors, managers, fraud detection experts, forensic accountants, financial accountants, IT specialists, corporate finance experts, business analysts, academicians, researchers, and students.
Download or read book Artificial Intelligence in Accounting and Auditing written by Miklos A. Vasarhelyi and published by Marcus Wiener. This book was released on 1989 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book The Big Data Driven Digital Economy Artificial and Computational Intelligence written by Abdalmuttaleb M. A. Musleh Al-Sartawi and published by Springer Nature. This book was released on 2021-05-28 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals.
Download or read book Challenges and Opportunities in the Digital Era written by Salah A. Al-Sharhan and published by Springer. This book was released on 2018-10-23 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 17th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 201, held in Kuwait City, Kuwait, in October/November 2018. The 65 revised full papers presented were carefully reviewed and selected from 99 submissions. Topics of interest include, amongst others, the following: social media; information systems; marketing and communications; management and operations; public administration; economics, sociology, and psychology; e-finance, e-banking, and e-accounting; computer science and computer engineering; and teaching and learning.
Download or read book The Soar Cognitive Architecture written by John E. Laird and published by MIT Press. This book was released on 2019-08-20 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: The definitive presentation of Soar, one AI's most enduring architectures, offering comprehensive descriptions of fundamental aspects and new components. In development for thirty years, Soar is a general cognitive architecture that integrates knowledge-intensive reasoning, reactive execution, hierarchical reasoning, planning, and learning from experience, with the goal of creating a general computational system that has the same cognitive abilities as humans. In contrast, most AI systems are designed to solve only one type of problem, such as playing chess, searching the Internet, or scheduling aircraft departures. Soar is both a software system for agent development and a theory of what computational structures are necessary to support human-level agents. Over the years, both software system and theory have evolved. This book offers the definitive presentation of Soar from theoretical and practical perspectives, providing comprehensive descriptions of fundamental aspects and new components. The current version of Soar features major extensions, adding reinforcement learning, semantic memory, episodic memory, mental imagery, and an appraisal-based model of emotion. This book describes details of Soar's component memories and processes and offers demonstrations of individual components, components working in combination, and real-world applications. Beyond these functional considerations, the book also proposes requirements for general cognitive architectures and explicitly evaluates how well Soar meets those requirements.
Download or read book Artificial Intelligence in Accounting and Auditing Knowledge representation accounting applications and the future written by Miklos A. Vasarhelyi and published by Markus Wiener Pub. This book was released on 1989 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: A study of artificial intelligence in accounting and auditing, this handbook addresses knowledge representation, accounting applications and the future. Topics covered include: knowledge elicitation and representation; belief nets of Bayesian revisions; accounting applications; and more.
Download or read book Artificial Intelligence in Accounting and Auditing written by Miklos A. Vasarhelyi and published by . This book was released on 1989 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Artificial Intelligence in Accounting and Auditing written by Miklos A. Vasarhelyi and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Artificial Intelligence In Accounting written by Dr. Shubham Saxena and published by Drop of Change Publication. This book was released on 2024-04-01 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: The accounting profession is at the cusp of significant change, driven by AI and data analytics. While some routine tasks may be automated, the core values and skills of accountants remain vital. The ability to exercise judgment, uphold ethical standards, and provide strategic financial guidance will continue to define the role of accountants in the age of AI. Moreover, embracing AI and data analytics opens up exciting opportunities for accountants to leverage technology in their work, providing even greater value to organizations. Aspiring accountants and finance professionals should take note of these trends and consider how they can prepare for a future where AI is a valuable tool in their toolkit.
