Artificial Intelligence in Accounting
eBook - ePub
No longer available |Learn more

Artificial Intelligence in Accounting

Practical Applications

Cory Ng, John Alarcon

  1. 120 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub
No longer available |Learn more

Artificial Intelligence in Accounting

Practical Applications

Cory Ng, John Alarcon

Book details
Table of contents
Citations

About This Book

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.

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Information

Publisher
Routledge
Year
2020
ISBN
9781000331851
Edition
1
Subtopic
Accounting

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. List of Illustrations
  8. Foreword
  9. Preface
  10. Acknowledgements
  11. 1 What Accountants Need to Know
  12. 2 Applications of AI in Accounting
  13. 3 Robotic Process Automation (RPA) and AI
  14. 4 Text Mining
  15. 5 Contemporary Case Studies
  16. 6 Challenges and Ethical Considerations of AI
  17. 7 Future Outlook
  18. Glossary of Terms
  19. Index