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Machine Learning For Auditors
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Book Synopsis Machine Learning for Auditors by : Maris Sekar
Download or read book Machine Learning for Auditors written by Maris Sekar and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use artificial intelligence (AI) techniques to build tools for auditing your organization. This is a practical book with implementation recipes that demystify AI, ML, and data science and their roles as applied to auditing. You will learn about data analysis techniques that will help you gain insights into your data and become a better data storyteller. The guidance in this book around applying artificial intelligence in support of audit investigations helps you gain credibility and trust with your internal and external clients. A systematic process to verify your findings is also discussed to ensure the accuracy of your findings. Machine Learning for Auditors provides an emphasis on domain knowledge over complex data science know how that enables you to think like a data scientist. The book helps you achieve the objectives of safeguarding the confidentiality, integrity, and availability of your organizational assets. Data science does not need to be an intimidating concept for audit managers and directors. With the knowledge in this book, you can leverage simple concepts that are beyond mere buzz words to practice innovation in your team. You can build your credibility and trust with your internal and external clients by understanding the data that drives your organization. What You Will Learn Understand the role of auditors as trusted advisors Perform exploratory data analysis to gain a deeper understanding of your organization Build machine learning predictive models that detect fraudulent vendor payments and expenses Integrate data analytics with existing and new technologies Leverage storytelling to communicate and validate your findings effectively Apply practical implementation use cases within your organization.
Book Synopsis Machine Learning for Auditors by : Maris Sekar
Download or read book Machine Learning for Auditors written by Maris Sekar and published by Apress. This book was released on 2022-02-27 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use artificial intelligence (AI) techniques to build tools for auditing your organization. This is a practical book with implementation recipes that demystify AI, ML, and data science and their roles as applied to auditing. You will learn about data analysis techniques that will help you gain insights into your data and become a better data storyteller. The guidance in this book around applying artificial intelligence in support of audit investigations helps you gain credibility and trust with your internal and external clients. A systematic process to verify your findings is also discussed to ensure the accuracy of your findings. Machine Learning for Auditors provides an emphasis on domain knowledge over complex data science know how that enables you to think like a data scientist. The book helps you achieve the objectives of safeguarding the confidentiality, integrity, and availability of your organizational assets. Data science does not need to be an intimidating concept for audit managers and directors. With the knowledge in this book, you can leverage simple concepts that are beyond mere buzz words to practice innovation in your team. You can build your credibility and trust with your internal and external clients by understanding the data that drives your organization. What You Will Learn Understand the role of auditors as trusted advisors Perform exploratory data analysis to gain a deeper understanding of your organization Build machine learning predictive models that detect fraudulent vendor payments and expenses Integrate data analytics with existing and new technologies Leverage storytelling to communicate and validate your findings effectively Apply practical implementation use cases within your organization Who This Book Is For AI Auditing is for internal auditors who are looking to use data analytics and data science to better understand their organizational data. It is for auditors interested in implementing predictive and prescriptive analytics in support of better decision making and risk-based testing of your organizational processes.
Book Synopsis Artificial Intelligence for Audit, Forensic Accounting, and Valuation by : Al Naqvi
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 2020-07-24 with total page 320 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.
Book Synopsis Artificial Intelligence in Accounting by : Cory Ng
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.
Book Synopsis Artificial Intelligence for Audit, Forensic Accounting, and Valuation by : Al Naqvi
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 326 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.
Book Synopsis Machine Learning Applications for Accounting Disclosure and Fraud Detection by : Papadakis, Stylianos
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.
Book Synopsis The Essentials of Machine Learning in Finance and Accounting by : Mohammad Zoynul Abedin
Download or read book The Essentials of Machine Learning in Finance and Accounting written by Mohammad Zoynul Abedin and published by Routledge. This book was released on 2021-06-20 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Continuous Auditing with AI in the Public Sector by : Lourens J. Erasmus
Download or read book Continuous Auditing with AI in the Public Sector written by Lourens J. Erasmus and published by CRC Press. This book was released on 2024-09-18 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: The effectiveness of internal audit activities is important for the sustainability of change in the public sector. In this sense, the tools and techniques used and the level of competencies of public sector auditors are decisive. This book deals with the effects of current technological developments in the public sector on auditing and risk management activities. Therefore, it is a resource for public internal auditors to create a digital audit strategy based on artificial intelligence (AI) and blockchain-based applications. Institutionalisation of their structures is important for public sector internal auditors. For this, basic requirements, future expectations, and best practices are explained. The digital business model is presented to produce value-added audit findings and outputs that guide public internal auditors and all digital-era stakeholders. This book is a pioneering work based on continuous auditing/continuous monitoring approaches using various AI and blockchain-based tools and techniques. There is nothing more valuable to the success of a public internal auditor than a detailed understanding of the business. The important lesson in developing business knowledge, especially in the new audit universe emerging with digital transformation, is that all auditors must understand that they never finish learning about business processes, risks, and control points in the digital era. They must constantly push themselves to be motivated and learn about the business operations they audit to implement new audit approaches powered by AI. In addition to obtaining up-to-date business information from process owners and stakeholders, public auditors responsible for conducting an AI-based continuous audit programme should also look inside their departments for a different perspective on business information that impacts continuous audit programme phase details and has the potential to add value. It should be noted that the additional source of information begins with your individual audit experience, digital skills, and qualifications.
Book Synopsis Artificial Intelligence in Accounting and Auditing by : Miklos A. Vasarhelyi
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.
Book Synopsis Robo-Auditing by : Patrick J. D. Taylor
Download or read book Robo-Auditing written by Patrick J. D. Taylor and published by Lioncrest Publishing. This book was released on 2018-07-10 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Audit Analytics in the Financial Industry by : Jun Dai
Download or read book Audit Analytics in the Financial Industry written by Jun Dai and published by Emerald Group Publishing. This book was released on 2019-10-28 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: Split into six parts, contributors explore ways to integrate Audit Analytics techniques into existing audit programs for the financial industry. Chapters include topics such as fraud risks in the credit card sector, clustering techniques, fraud and anomaly detection, and using Audit Analytics to assess risk in the lawsuit and payment processes.
Book Synopsis University Auditing in the Digital Era by : Sezer Bozkus Kahyaoglu
Download or read book University Auditing in the Digital Era written by Sezer Bozkus Kahyaoglu and published by CRC Press. This book was released on 2022-04-05 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores how digital transformation is reshaping the manner in which higher education sectors emerge, work, and evolve and how auditors should respond to this challenging and risky digital audit universe in transforming the higher education system. It serves to help professionals to understand the reality of performing the Chief Audit Executive (CAE) role in today’s evolving business economy, specifically in the higher education sector. It compares and contrasts the stated IIA standards with the challenges and realities auditors may face and provides alternative scenarios to gaining a "seat at the table." This book also provides insight into critical lessons learned when executing the CAE role relevant for digitally transforming universities. The main purpose of this study is to rethink the audit culture in the digital era and reveal the key characteristics that are open for improvement so that digitally transforming universities can be audited according to the higher education standards with a digitally supported value-added audit approach. Based on this approach, the audit culture is reassessed considering the digital university conceptual framework and business model. There are two main points to consider for the digital university work environment: traceability and auditability. In this respect, policy recommendations are made for best practices to achieve value-added digital audits in transforming universities. The book has been written from both the reality and academic perspectives of two experienced authors. Sezer is a past CAE, CEO, and long-term senior internal auditor who has worked in the internal audit role for various listed companies, financial institutions, and government entities. Erman has extensive information technology and university accreditation knowledge in the global higher education sector. This brings a blend of value-added approaches to the readers and speaks to issues about understanding and dealing with audit culture and business evolution in digitally transforming organizations along with the requirements for upholding IIA standards. Geared toward the experienced or new CAE, University Auditing in the Digital Era: Challenges and Lessons for Higher Education Professionals and CAEs can be a tool for all auditors to understand some of the challenges, issues, and potential alternative solutions when executing the role of university auditing. In addition, it can be a valuable reference for university administrators and CIOs, as well as academics and all stakeholders related to the higher education sector.
Download or read book Agile Auditing written by Raven Catlin and published by John Wiley & Sons. This book was released on 2021-07-21 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master new, disruptive technologies in the field of auditing Agile Auditing: Fundamentals and Applications introduces readers to the applications and techniques unlocked by tested and proven agile project management principles. This book educates readers on an approach to auditing that emphasizes risk-based auditing, collaboration, and speedy delivery of meaningful assurance assessments while ensuring quality results and a focus on the areas that pose the greatest material risks to the business under audit. The discipline of auditing has been forever changed via the introduction of new technologies, including: Machine learning Virtual Conferencing Process automation Data analytics Hugely popular in software development, the agile approach is just making its way into the field of audit. This book provides concrete examples and practical solutions for auditors who seek to implement agile techniques and methods. Agile Auditing is perfect for educators, practitioners, and students in the auditing field who are looking for ways to introduce greater levels of efficiency and effectiveness to their discipline.
Book Synopsis Man Versus Machine by : Benjamin P. Commerford
Download or read book Man Versus Machine written by Benjamin P. Commerford and published by . This book was released on 2020 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: Audit firms are investing billions of dollars to develop artificial intelligence (AI) systems that will help auditors execute challenging tasks (e.g., evaluating complex estimates). Although firms assume AI will enhance audit quality, a growing body of research documents that individuals often exhibit “algorithm aversion” - the tendency to discount computer-based advice more heavily than human advice, although the advice is identical otherwise. Therefore, we conduct an experiment to examine how algorithm aversion manifests in auditor judgments. Consistent with theory, we find that auditors receiving contradictory evidence from their firm's specialist system (instead of a human specialist) propose smaller adjustments to management's complex estimates, particularly when management develops their estimates using relatively objective (versus subjective) inputs. Our findings suggest auditor susceptibility to algorithm aversion could prove costly for the profession and financial statements users.
Book Synopsis Auditing Information Systems by : Jack J. Champlain
Download or read book Auditing Information Systems written by Jack J. Champlain and published by John Wiley & Sons. This book was released on 2003-04-01 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have you been asked to perform an information systems audit and don't know where to start? Examine a company's hardware, software, and data organization and processing methods to ensure quality control and security with this easy, practical guide to auditing computer systems--the tools necessary to implement an effective IS audit. In nontechnical language and following the format of an IS audit program, you'll gain insight into new types of security certifications (e.g., TruSecure, CAP SysTrust, CPA WebTrust) as well as the importance of physical security controls, adequate insurance, and digital surveillance systems. Order your copy today!
Book Synopsis Interpretable Machine Learning by : Christoph Molnar
Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
Book Synopsis AiCCOUNTANTS Accountants Augmented by Artificial Intelligence (AI) by : Hitendra R. Patil
Download or read book AiCCOUNTANTS Accountants Augmented by Artificial Intelligence (AI) written by Hitendra R. Patil and published by HITENDRA R. PATIL. This book was released on 2023-02-06 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aiccountants™ Accountants Augmented by Artificial Intelligence (AI) The What, Why, and How of Artificial Intelligence for Accountants No previous knowledge about AI required This book is intended to be the go-to guide for any accountant looking to stay ahead in the rapidly changing world of Artificial Intelligence (AI) technology - from an accountant's point of view. This essential guidebook aims to provide accountants with a solid understanding of Artificial Intelligence (AI), including its implications for the accounting profession. The book contains: Nearly 100 examples specific to how AI works/can work in the accounting profession Actionable intelligence through practically implementable checklists Templates of suggested emails for interacting with clients when you deliver AI-powered services 30+ analogies to help easy understanding of the content And much more..... What you'll learn from this "easy read" book: How AI technology works, including machine learning and natural language processing How AI can be applied to accounting tasks such as financial analysis, fraud detection, and more The pros and cons of implementing AI in accounting - the potential for increased efficiency and accuracy, as well as the potential ethical and legal considerations. The potential future impact of AI on the accounting profession How AI may change how accountants work, and The future skills accountants will need to succeed And much more..... "Aiccountants™: Accountants Augmented by Artificial Intelligence" is a must-read for any accountant looking to stay competitive and relevant in the AI age. It provides a thorough understanding of AI technology, its potential in the accounting profession, and practical advice on leveraging it to improve your practice. DON'T WAIT FOR THE AI-FUTURE TO ARRIVE. TAKE CONTROL. BUY NOW.
