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Record Nr. |
UNINA9911002562603321 |
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Titolo |
Artificial Intelligence in Accounting, Auditing and Finance : A Guide for Implementation and Use / / edited by Michael Adelowotan, Collins Achepsah Leke |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (XV, 214 p. 26 illus., 25 illus. in color.) |
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Collana |
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Contributions to Finance and Accounting, , 2730-6046 |
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Disciplina |
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Soggetti |
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Accounting |
Financial engineering |
Business information services |
Artificial intelligence |
Auditing |
Financial Technology and Innovation |
IT in Business |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1. Introduction: Our Remade World -- Chapter 2. The Development of Artificial Intelligence and Machine Learning: Applications in Financial Services -- Chapter 3. The Development of Accounting as a Service Activity -- Chapter 4. The Accountancy Profession and the Challenges of Artificial Intelligence -- Chapter 5. The Impact of Artificial Intelligence on the Role of Management Accountants -- Chapter 6. The Impact of Artificial Intelligence on Auditing and Assurance Services -- Chapter 7. Integration of Artificial Intelligence into Taxation Processes -- Chapter 8. Reflecting on Artificial Intelligence and Financial Statement Analysis using a Critical Management Framework Approach -- Chapter 9. Artificial Intelligence Tools and Use Cases in Corporate Finance -- Chapter 10. The Benefits and Challenges of Utilizing Artificial Intelligence in Enterprise Risk Management -- Chapter 11. Financial Time Series Forecasting in the Artificial Intelligence Domain: Learning through the Lens of Time -- |
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Chapter 12. Conclusion: The Currency of Our Remade World. |
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Sommario/riassunto |
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This book focuses on the use of Artificial Intelligence (AI) for accounting, auditing, and finance. It explores how AI can be leveraged to perform various tasks within these fields and offers real life examples to illustrate its features and facilitate implementation. The book further examines how different AI technologies, such as Machine Learning, Deep Learning, Natural Language Processing, and others, can be used to improve processes and functions in accounting and financial reporting. Furthermore, the authors explain the different subsets of Artificial Intelligence and how they can be used for practical purposes. The book provides a basic guide of these emerging technologies to help practitioners in the field to better understand how they can be implemented in their companies. |
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