Description

Book Synopsis

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, b

Table of Contents

Preface ix

Acknowledgments xiii

Part I: Foundations For AI and Audit

Chapter 1: Introduction: Staying Ahead of the Emergent Risk 3

Chapter 2: Fourth Industrial Revolution and Its Impact on Audit 23

Chapter 3: What is Artificial Intelligence? 37

Chapter 4: Rise of Machine Learning 51

Chapter 5: Machine Learning 69

Chapter 6: Building an IAA Audit Firm: The Planning Toolkit 103

Part II: Building the Automated Audit Function in the Enterprise

Chapter 7: Obtain, Retain, and Preplan with AI 119

Chapter 8: Automated Inherent Risk Assessment 147

Chapter 9: Automating Internal Controls Assessment 165

Chapter 10: Automated Procedures 189

Chapter 11: Reporting and Post-Audit Management 203

Part III: Forensic Accounting Automation

Chapter 12: Intelligent Automation of Fraud Detection 217

Chapter 13: Forensic Accounting 227

Chapter 14: Managing for Value and Valuation 241

Chapter 15: Tying It Together and Robots 251

Part IV: Management, Organization, and Governance For AI in Audit

Chapter 16: Client Management 265

Chapter 17: AI Organization and Project Management 275

Chapter 18: Governance and Ethics 283

Index 291

Artificial Intelligence for Audit Forensic

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    RRP £37.99 – you save £7.60 (20%)

    Order before 4pm tomorrow for delivery by Mon 22 Jun 2026.

    A Hardback by Al Naqvi

    2 in stock


      View other formats and editions of Artificial Intelligence for Audit Forensic by Al Naqvi

      Publisher: John Wiley & Sons Inc
      Publication Date: 28/09/2020
      ISBN13: 9781119601883, 978-1119601883
      ISBN10: 1119601886

      Description

      Book Synopsis

      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, b

      Table of Contents

      Preface ix

      Acknowledgments xiii

      Part I: Foundations For AI and Audit

      Chapter 1: Introduction: Staying Ahead of the Emergent Risk 3

      Chapter 2: Fourth Industrial Revolution and Its Impact on Audit 23

      Chapter 3: What is Artificial Intelligence? 37

      Chapter 4: Rise of Machine Learning 51

      Chapter 5: Machine Learning 69

      Chapter 6: Building an IAA Audit Firm: The Planning Toolkit 103

      Part II: Building the Automated Audit Function in the Enterprise

      Chapter 7: Obtain, Retain, and Preplan with AI 119

      Chapter 8: Automated Inherent Risk Assessment 147

      Chapter 9: Automating Internal Controls Assessment 165

      Chapter 10: Automated Procedures 189

      Chapter 11: Reporting and Post-Audit Management 203

      Part III: Forensic Accounting Automation

      Chapter 12: Intelligent Automation of Fraud Detection 217

      Chapter 13: Forensic Accounting 227

      Chapter 14: Managing for Value and Valuation 241

      Chapter 15: Tying It Together and Robots 251

      Part IV: Management, Organization, and Governance For AI in Audit

      Chapter 16: Client Management 265

      Chapter 17: AI Organization and Project Management 275

      Chapter 18: Governance and Ethics 283

      Index 291

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