AI for Accountants: Artificial Intelligence for Financial Management and Control
AI for Accountants: Artificial Intelligence for Financial Management and Control

Author: DIZZY DAVIDSON

Publisher: Pure Water Books

Published: 2024-09-02

Total Pages: 114

ISBN-13:

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Are you struggling to fully understand how AI can revolutionize your accounting practice? Are you looking to harness the power of artificial intelligence but don’t know where to start? “AI for Accountants: Artificial Intelligence for Financial Management and Control” is your definitive guide to navigating the complexities of AI in the accounting world. This book demystifies AI, providing clear, actionable insights into how AI can transform your financial management processes. From automating data entry to enhancing fraud detection, this comprehensive guide covers it all. Benefits of Reading This Book: Efficiency: Learn how AI can automate repetitive tasks, freeing up your time for strategic decision-making. Accuracy: Discover AI tools that reduce errors and improve the accuracy of financial data. Compliance: Stay ahead of regulatory changes with AI-driven compliance solutions. Insight: Gain deeper insights into financial trends and customer behavior through advanced analytics. Why This Book is Essential: Comprehensive Coverage: Covers all aspects of AI in accounting, from basic concepts to advanced applications. Practical Examples: Real-world case studies and examples to illustrate AI applications. Expert Insights: Written by industry experts with deep knowledge of both AI and accounting. Future-Proofing: Prepare your practice for the future by understanding the latest AI trends and technologies. Key Topics Covered: Automating Data Entry Fraud Detection Financial Forecasting Expense Management Tax Compliance Continuous Auditing Invoice Processing Customer Insights Risk Management Financial Reporting Budgeting Personalized Financial Advice Call to Action: Don’t get left behind in the AI revolution. Get your copy of “AI for Accountants: Artificial Intelligence for Financial Management and Control” today and unlock the full potential of AI in your accounting practice. Equip yourself with the knowledge and tools to stay ahead in the rapidly evolving world of finance.

Artificial Intelligence for Asset Management and Investment
Artificial Intelligence for Asset Management and Investment

Author: Al Naqvi

Publisher: John Wiley & Sons

Published: 2021-02-09

Total Pages: 323

ISBN-13: 1119601827

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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.

Applications of Artificial Intelligence in Business and Finance
Applications of Artificial Intelligence in Business and Finance

Author: Vikas Garg

Publisher: CRC Press

Published: 2021-12-23

Total Pages: 272

ISBN-13: 1000290417

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As transactions and other business functions move online and grow more popular every year, the finance and banking industries face increasingly complex data management and identity theft and fraud issues. AI can bring many financial and business functions to the next level, as systems using deep learning technologies are able to analyze patterns and spot suspicious behavior and potential fraud. In this volume, the focus is on the application of artificial intelligence in finance, business, and related areas. The book presents a selection of chapters presenting cutting-edge research on current business practices in finance and management. Topics cover the use of AI in e-commerce systems, financial services, fraud prevention, identifying loan-eligible customers, online business, Facebook social commerce, insurance industry, online marketing, and more.

Artificial Intelligence for Audit, Forensic Accounting, and Valuation
Artificial Intelligence for Audit, Forensic Accounting, and Valuation

Author: Al Naqvi

Publisher: John Wiley & Sons

Published: 2020-08-25

Total Pages: 326

ISBN-13: 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.

ChatGPT and AI for Accountants
ChatGPT and AI for Accountants

Author: Dr. Scott Dell

Publisher: Packt Publishing Ltd

Published: 2024-06-28

Total Pages: 278

ISBN-13: 1835462251

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Elevate your accounting skills by applying ChatGPT across audit, tax, consulting, and beyond Key Features Leverage the impact of AI on modern accounting, from audits to corporate governance Use ChatGPT to streamline your accounting tasks with practical hands-on techniques Understand the impact of AI in accounting through in-depth chapters covering various domains, including ethical considerations and data analytics Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn the fast-paced AI world, accounting professionals are increasingly challenged by the complexities of AI. Many struggle to integrate these advanced tools into their workflows, leading to a sense of overwhelm. ChatGPT for Accounting bridges this gap by not only simplifying AI concepts but also offering practical insights for its application in various accounting domains. This book takes you from the foundational principles of Generative Artificial Intelligence (GAI) to its practical applications in audits, tax planning, practice management, fraud examination, financial analysis, and beyond. Each chapter equips you with essential skills, showing you how AI can revolutionize internal control systems, enhance recruitment processes, streamline marketing plans, optimize tax strategies, and boost efficiency in audits. You’ll then advance to exploring the role of AI in forensic accounting, financial analysis, managerial accounting, and corporate governance, while also addressing ethical and security implications. Concluding with a reflective outlook on the promises and challenges of AI, you’ll gain a holistic view of the future of accounting. By the end of this book, you’ll be equipped with the knowledge to harness the power of AI effectively and ethically, transforming your accounting practice and staying ahead in the ever-evolving landscape.What you will learn Understand the fundamentals of AI and its impact on the accounting sector Grasp how AI streamlines and enhances the auditing process for high accuracy Uncover the potential of AI in simplifying tax processes and ensuring compliance Get to grips with using AI to identify discrepancies and prevent financial fraud Master the art of AI-powered data analytics for informed decision-making Gain insights into seamlessly integrating AI tools within existing accounting systems Stay ahead in the evolving landscape of AI-led accounting tools and practices Who this book is for Whether you're a seasoned accounting professional, a C-suite executive, a business owner, an accounting educator, a student of accounting, or a technology enthusiast, this book provides the knowledge and insights you need to navigate the changing landscape in applying GAI technology to make a difference in all you do. An appreciation and understanding of the accounting process and concepts will be beneficial.

The Essentials of Machine Learning in Finance and Accounting
The Essentials of Machine Learning in Finance and Accounting

Author: Mohammad Zoynul Abedin

Publisher: Routledge

Published: 2021-06-20

Total Pages: 275

ISBN-13: 1000394123

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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.

Artificial Intelligence in Accounting and Auditing
Artificial Intelligence in Accounting and Auditing

Author: Mariarita Pierotti

Publisher: Palgrave Macmillan

Published: 2024-10-22

Total Pages: 0

ISBN-13: 9783031713705

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This book investigates the phenomenon of artificial intelligence (AI) in the accounting world. It integrates accounting competencies with specific competencies in AI and other digital technologies and offers an interdisciplinary perspective. First, the authors review and discuss the literature to summarize and systematize extant research on digitalization in accounting. Second, case studies are included to illustrate the potential impact of AI in business contexts in terms of opportunities and challenges. Based on these, the book explores how digitalization is influencing the accounting practice and what the most important avenues are for future research on digitalization in accounting, and will be of interest to researchers, students, and practitioners of financial technology, accounting, and risk management.

Artificial Intelligence in Accounting and Auditing
Artificial Intelligence in Accounting and Auditing

Author: Miklos A. Vasarhelyi

Publisher: Berg Publishers

Published: 1988

Total Pages: 424

ISBN-13: 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

Author: Cory Ng

Publisher: Taylor & Francis

Published: 2020-12-08

Total Pages: 135

ISBN-13: 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.

Applications of Artificial Intelligence in Financial Management Decisions
Applications of Artificial Intelligence in Financial Management Decisions

Author: Laila Al-Blooshi

Publisher:

Published: 2020

Total Pages: 21

ISBN-13:

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Artificial Intelligence (AI) has, during the past few years, made many signs of progress which have enabled the creation of professional financing applications, which would, perhaps, disrupt the finance industry. Thus, it is assumed that the AI could not only replace human capital in full or in part but also enhance its performance beyond human benchmarks. For companies around the world, there are a variety of programs. A systemic content analysis methodology was used to evaluate related literature publications in this study. A selection of papers, including posts, has been collected. This research focuses on broad publications peer-reviewed, including Scopus and SSRN, which are listed in quality and impact rankings. This selection of the highest-ranking papers not only guaranteed the quality of papers that were most reviewed and validated but also provided the most up-to-date research state during their publication periods. Some keywords are used to scan for artificial intelligence papers, such as artificial intelligence and financial articles such as corporate finance, artificial intelligence, digital finance, financial and artificial intelligence, etc.AI has been found to be used by organizations around the world for the detection of anomalies. It is used to establish optimal investment strategies. The other use of AI in securities is algorithmic trading, programs that integrate information regarding changing market dynamics and price levels by using proprietary algorithms to making automated trading very rapidly.However, given the financial consequences, companies should ensure a sufficient understanding of the AI and other technology used in business by the senior management and the board to ensure proper monitoring. This is particularly important in view of the growing expectations of Board members to monitor substantive issues affecting the long-term value of a company. The decision-making, deployment, and use of AI must be carried out within the context of risk management, in order to capture market improvements. It will include four main tasks, including risk recognition, risk assessment, prevention and risk control.