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Author: Cory Ng Publisher: Taylor & Francis ISBN: 100033175X Category : Business & Economics Languages : en Pages : 135
Book Description
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.
Author: Cory Ng Publisher: Taylor & Francis ISBN: 100033175X Category : Business & Economics Languages : en Pages : 135
Book Description
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.
Author: Al Naqvi Publisher: John Wiley & Sons ISBN: 1119601916 Category : Business & Economics Languages : en Pages : 320
Book Description
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.
Author: Mohammad Zoynul Abedin Publisher: Routledge ISBN: 1000394123 Category : Business & Economics Languages : en Pages : 275
Book Description
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.
Author: Christiansen, Bryan Publisher: IGI Global ISBN: 1799850781 Category : Business & Economics Languages : en Pages : 702
Book Description
Artificial intelligence (AI) describes machines/computers that mimic cognitive functions that humans associate with other human minds, such as learning and problem solving. As businesses have evolved to include more automation of processes, it has become more vital to understand AI and its various applications. Additionally, it is important for workers in the marketing industry to understand how to coincide with and utilize these techniques to enhance and make their work more efficient. The Handbook of Research on Applied AI for International Business and Marketing Applications is a critical scholarly publication that provides comprehensive research on artificial intelligence applications within the context of international business. Highlighting a wide range of topics such as diversification, risk management, and artificial intelligence, this book is ideal for marketers, business professionals, academicians, practitioners, researchers, and students.
Author: Miklos A. Vasarhelyi Publisher: Berg Publishers ISBN: 9780854961849 Category : Accounting Languages : en Pages : 424
Book Description
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.
Author: Garg, Vikas Publisher: IGI Global ISBN: 1799884996 Category : Business & Economics Languages : en Pages : 351
Book Description
There is no industry left where artificial intelligence is not used in some capacity. The application of this technology has already stretched across a multitude of domains including law and policy; it will soon permeate areas beyond anyone’s imagination. Technology giants such as Google, Apple, and Facebook are already investing their money, effort, and time toward integrating artificial intelligence. As this technology continues to develop and expand, it is critical for everyone to understand the various applications of artificial intelligence and its full potential. The Handbook of Research on Innovative Management Using AI in Industry 5.0 uncovers new and innovative features of artificial intelligence and how it can help in raising economic efficiency at both micro and macro levels and provides a deeper understanding of the relevant aspects of artificial intelligence impacting efficacy for better output. Covering topics such as consumer behavior, information technology, and personalized banking, it is an ideal resource for researchers, academicians, policymakers, business professionals, companies, and students.
Author: Sean Stein Smith Publisher: Springer Nature ISBN: 3030297616 Category : Business & Economics Languages : en Pages : 260
Book Description
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.
Author: Al Bhimani Publisher: John Wiley & Sons ISBN: 1119720095 Category : Business & Economics Languages : en Pages : 195
Book Description
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.
Author: Salah A. Al-Sharhan Publisher: Springer ISBN: 3030021319 Category : Computers Languages : en Pages : 634
Book Description
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.
Author: Papadakis, Stylianos Publisher: IGI Global ISBN: 179984806X Category : Business & Economics Languages : en Pages : 270
Book Description
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.
Author: Cory Ng
Author: Cory Ng
Author: Al Naqvi
Author: Mohammad Zoynul Abedin
Author: Christiansen, Bryan
Author: Miklos A. Vasarhelyi
Author: Garg, Vikas
Author: Sean Stein Smith
Author: Al Bhimani
Author: Salah A. Al-Sharhan
Author: Papadakis, Stylianos