| Description |
1 online resource (135 pages) |
| Series |
Routledge Focus on Business and Management Ser |
|
Routledge Focus on Business and Management Ser
|
| Contents |
Intro -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- List of Illustrations -- Foreword -- Preface -- Acknowledgments -- 1. What Accountants Need to Know -- Introduction -- History of AI -- History of Accountants Using Technology -- Overview of How Accountants Are Using AI -- Human Intelligence versus Artificial Intelligence -- What Accountants Need to Know About AI -- Artificial Intelligence -- Artificial Narrow Intelligence (ANI) -- Artificial General Intelligence (AGI) -- Machine Reasoning -- Expert Systems -- Machine Learning -- Supervised Learning |
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Unsupervised Learning -- Semi-supervised Learning -- Reinforcement Learning -- Deep Learning -- Natural Language Processing -- Data Mining -- Text Mining -- Robotic Process Automation (RPA) and AI -- Application Programming Interfaces (API) and AI -- Best Programming Languages Accountants Should Learn for Artificial Intelligence Applications -- Notes -- References -- 2. Applications of AI in Accounting -- Financial Accounting Applications -- Cash and Account Reconciliations -- Receivables and Sales -- Inventory -- Accounts Payable -- Management Accounting Applications -- Audit Applications |
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Tax Applications -- Advisory Applications -- Conclusion -- Note -- References -- 3. Robotic Process Automation (RPA) and AI -- Overview of RPA -- RPA Vendors -- When to Use RPA? -- Advantages and Challenges of RPA -- Challenges of RPA -- Applications of RPA in Public Accounting -- RPA in Audits -- RPA in Tax -- Applications of RPA in Corporate Accounting -- Implementation of RPA -- Why RPA Fails -- Integrating RPA with AI/ML Applications -- References -- 4. Text Mining -- What is text mining? -- The role of natural language processing in text mining -- Overview of Text Mining Research |
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Methods and Technologies Used in Text Mining -- Document Preprocessing -- Data Selection and Filtering -- Data Cleaning -- Document Representation -- Morphological Normalization and Parsing -- Semantic Analysis -- Mining -- Clustering -- Classification -- Entity and Relation Extraction -- Visualization -- Visualization Techniques for Multidimensional Data -- Text Summarization -- Advantages and Disadvantages of Text Mining -- Current and Potential Applications of Text Mining in Accounting -- Audit Automation -- Accounting Automation -- Tax Automation -- Business Advisory Automation -- References |
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5. Contemporary Case Studies -- Case Study #1: Use of NLP for Risk Analysis (KPMG) -- Background -- Results -- Lessons Learned -- Case Study #2: Use of AI for Tax Transfer Pricing Services (KPMG) -- Background -- Results -- Lessons Learned -- Case Study #3: Autonomous Audit Drones for Inventory Management (EY) -- Background -- Results -- Lessons Learned -- Case Study #4: Use of AI to Augment Auditor Judgment (Deloitte) -- Background -- Results -- Lessons Learned -- Case Study #5: Use of Data Automation and RPA for Tax Functions (Grant Thornton) -- Background -- Results -- Lessons Learned |
| Notes |
Conclusion |
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Print version record |
| Subject |
Accounting -- Technological innovations
|
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Artificial intelligence.
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artificial intelligence.
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Accounting -- Technological innovations
|
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Artificial intelligence
|
| Form |
Electronic book
|
| Author |
Alarcon, John
|
| ISBN |
9781000331851 |
|
1000331857 |
|
