Artificial Intelligence for Audit Forensic Accounting and Valuation

With this guide, you’ll be able to build an innovative, automated accounting strategy, using artificial intelligence as the cornerstone and foundation.

Artificial Intelligence for Audit  Forensic Accounting  and Valuation

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 for Asset Management and Investment

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.

Artificial Intelligence for Asset Management and Investment

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.

Forensic Accounting and Fraud Examination

... 44 Accredited in Business Valuation (ABV), 42–43, 482 Accrual accounting, 90–91 Accusations, 336 Accuser's ... 422 Application software viruses, 420 Arrogance, 61–62 Arthur Andersen, 228 Artificial intelligence (AI), 281, 354, ...

Forensic Accounting and Fraud Examination

Forensic Accounting and Fraud Examination introduces students and professionals to the world of fraud detection and deterrence, providing a solid foundation in core concepts and methods for both public and private sector environments. Aligned with the National Institute of Justice (NIJ) model curriculum, this text provides comprehensive and up-to-date coverage of asset misappropriation, corruption, fraud, and other topics a practicing forensic accountant encounters on a daily basis. A focus on real-world practicality employs current examples and engaging case studies to reinforce comprehension, while in-depth discussions clarify technical concepts in an easily relatable style. End of chapter material and integrated IDEA and Tableau software cases introduces students to the powerful, user-friendly tools accounting professionals use to maximize auditing and analytic capabilities, detect fraud, and comply with documentation requirements, and coverage of current methods and best practices provides immediate relevancy to real-world scenarios. Amidst increased demand for forensic accounting skills, even for entry-level accountants, this text equips students with the knowledge and skills they need to successfully engage in the field.

Contemporary Issues in Audit Management and Forensic Accounting

According to the definition of fraud, “it is to enrich oneself by intentionally reducing the value/worth of an asset in secret ... Forensic accounting can be applied both in accounting and auditing and in other fields such as economics, ...

Contemporary Issues in Audit Management and Forensic Accounting

In the 18 chapters in this volume of Contemporary Studies in Economic and Financial Analysis, expert contributors gather together to examine the extent and characteristics of forensic accounting, a field which has been practiced for many years, but is still not internationally regulated yet.

Handbook of Research on Engineering Business and Healthcare Applications of Data Science and Analytics

According to Sivarajah et al (2016), the opportunities of BDA include: value creation, increased organizational ... In accordance with history, the phrase “artificial intelligence” was originated in the late 1950's to refer to the ...

Handbook of Research on Engineering  Business  and Healthcare Applications of Data Science and Analytics

Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies, and systems used to extract information from data and solve complex problems, various sectors have reached new heights and have changed our world for the better. The Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics is a collection of innovative research on the methods and applications of data analytics. While highlighting topics including artificial intelligence, data security, and information systems, this book is ideally designed for researchers, data analysts, data scientists, healthcare administrators, executives, managers, engineers, IT consultants, academicians, and students interested in the potential of data application technologies.

Public Sector Accountants and Quantum Leap How Far We Can Survive in Industrial Revolution 4 0

Proceedings of the 1st International Conference on Public Sector Accounting (ICOPSA 2019), October 29-30, 2019, ... The current state of customer-focused application of Artificial Intelligence in accounting and financial services R.

Public Sector Accountants and Quantum Leap  How Far We Can Survive in Industrial Revolution 4 0

The Industrial Revolution 4.0 will not only cause job losses, but will also create new workspaces that may not exist today. It also needs to be considered by accountants in government because the processes of budget planning, budget execution, and financial reporting have used a large number of information systems. In the era of the Industrial Revolution 4.0, the changes will be faster, marked by the emergence of such systems as supercomputers, smart robots, cloud computing, big data systems, genetic engineering and the development of neurotechnology that allows humans to optimize brain function further. Industrial Revolution 4.0 will disrupt the accounting profession. This proceedings provides selected papers/research on government accounting, accountability and integrity public sector accounting, financial accounting, accounting information system, auditing and assurance, corporate sustainability, forensic and management accounting, public and corporate finance, taxation and customs, open innovation in public sector accounting. The proceedings provide details beyond what is possible to be included in an oral presentation and constitute a concise but timely medium for the dissemination of recent research results. It will be invaluable to professionals and academics in the field of accounting, finance and the public sector to get an understanding of recent research.

Holding Accountants Accountable

A Acceptance without Verification, risk, 92–93 Accountants career, challenges, 184 considerations, 74–75 deadlines, ... 102 Forensic and Valuation Services Practice Aid, 101 General Standards Rule, 15 Independence rules, 122 Litigation ...

Holding Accountants Accountable

An essential guide for practitioners on avoiding unethical situations in a fraud investigation—provides tips, techniques, and real-life examples Credentialed accountants, auditors, and fraud examiners who fail to identify fraud and misconduct may be in violation of their professional standards. Among these standards are requirements to exercise professional and moral judgment, act in the best interest of the public, maintain integrity, objectivity, and independence, render opinions based on evidence and documentation, and exercise due care in planning and discharging professional activities. Failing to adhere to professional standards and ethical codes have serious consequences for CPAs, CFEs, and CIAs engaged in fraud investigations. Fraud helps readers avoid unethical situations in fraud investigations and stay within the boundaries of professional guidelines and standards. Author Jeffrey Matthews combines real-world techniques and practical advice with personal insights from his experience as a forensic accountant. Detailing how he faced death threats, retaliation, and family hardships during actual fraud investigations, the author shares how despite serious challenges, he never deviated from professional standards. The author demonstrates how accountants can avoid being caught in unethical practices and examines the common tendencies that hinder the ability to detect, deter, and prevent fraud and misconduct. This fascinating, highly-relevant book will help practitioners: Recognize current and emerging trends to identify new areas of weakness Address time and budget constraints with effective delegation and supervision of lower-level staff Maintain a healthy dose of skepticism by ‘testing not accepting’ Understand the effort and expertise required to perform an investigation before accepting engagements Avoid establishing biases and pre-determining outcomes before accepting assignments A full-featured resource, complete with PowerPoint slides and a test bank, Fraud is invaluable for auditors, accountants, and other certified fraud examiners.

Earnings Management Fintech Driven Incentives and Sustainable Growth

Journal of Accounting Literature, 42, 1–28. ... Can clients of economically dependent auditors benefit from voluntary audit firm rotation? ... Vox. https://voxeu.org/article/artificial-intelligence-algorithmic-pricing-and-collusion.

Earnings Management  Fintech Driven Incentives and Sustainable Growth

Traditional research about Financial Stability and Sustainable Growth typically omits Earnings Management (as a broad class of misconduct), Complex Systems Theory, Mechanism Design Theory, Public Health, psychology issues, and the externalities and psychological effects of Fintech. Inequality, Environmental Pollution, Earnings Management opportunities, the varieties of complex Financial Instruments, Fintech, Regulatory Fragmentation, Regulatory Capture and real-financial sector-linkages are growing around the world, and these factors can have symbiotic relationships. Within Complex System theory framework, this book analyzes these foregoing issues, and introduces new behaviour theories, Enforcement Dichotomies, and critiques of models, regulations and theories in several dimensions. The issues analyzed can affect markets, and evolutions of systems, decision-making, "nternal Markets and risk-perception within government regulators, operating companies and investment entities, and thus they have Public Policy implications. The legal analysis uses applicable US case-law and statutes (which have been copied by many countries, and are similar to those of many common-law countries). Using Qualitative Reasoning, Capital Dynamics Theory (a new approach introduced in this book), Critical Theory and elements of Mechanism Design Theory, the book aims to enhance cross-disciplinary analysis of the above-mentioned issues; and to help researchers build better systems/Artificial-Intelligence/mathematical models in Financial Stability, Portfolio Management, Policy-Analysis, Asset Pricing, Contract Theory, Enforcement Theory and Fraud Detection. The primary audience for this book consists of university Professors, PHD students and PHD degree-holders (in industries, government agencies, financial services companies and research institutes). The book can be used as a primary or supplementary textbook for graduate courses in Regulation; Capital Markets; Law & Economics, International Political Economy and or Mechanism Design (Applied Math, Operations Research, Computer Science or Finance).