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.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
General, Postgraduate, Professional, and Undergraduate Advanced
Illustrationen
2 s/w Abbildungen, 2 s/w Zeichnungen
2 Line drawings, black and white; 2 Illustrations, black and white
Maße
Höhe: 216 mm
Breite: 140 mm
Dicke: 8 mm
Gewicht
ISBN-13
978-0-367-54201-6 (9780367542016)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Cory Ng is Associate Professor of Instruction in Accounting at the Fox School of Business at Temple University in Philadelphia, Pennsylvania, USA.
John Alarcon is the founder of BEARN, a business advisory firm in Philadelphia, Pennsylvania, USA.
1. What accountants need to know. 2. Applications of AI in accounting. 3. Robotic process automation. 4. Text mining. 5. Contemporary case studies. 6. Challenges and ethical considerations of AI. 7. Future outlook.