Blockchain technology and artificial intelligence (AI) have the potential to transform how the accounting and financial services industries engage with the business, stakeholder and consumer communities. Presenting a blend of technical analysis with current and future applications, this book provides professionals with an action plan to embrace and move forward with these new technologies in financial and accounting organizations. It is written in a conversational style that is unbiased and objective, replacing jargon and technical details with real world case examples.
Blockchain technology and artificial intelligence (AI) have the potential to transform how the accounting and financial services industries engage with the business, stakeholder and consumer communities. Presenting a blend of technical analysis with current and future applications, this book provides professionals with an action plan to embrace and move forward with these new technologies in financial and accounting organizations. It is written in a conversational style that is unbiased and objective, replacing jargon and technical details with real world case examples.
Sean Stein Smith is an Assistant Professor in the Business and Economics department at Lehman College - City University of New York. Sean is a member of the Advisory Board for the Wall Street Blockchain Alliance, which coordinates with the AICPA in developing standards and reporting frameworks in this emerging area. Sean also serves on the Advisory Board of Gilded "Crypto Accounting Made Simple." He currently serves on the Fairleigh Dickinson University Alumni Association Board of Governors. Sean also served as an E.C. Harwood Visiting Fellow at the American Institute of Economic Research during 2019.
Inhaltsangabe
Chapter 1. Foreword & Introductory Information.- Chapter 2. The Changing Accounting Landscape.- Chapter 3. Cryptocurrencies & the Financial Services Landscape.- Chapter 4. Consensus Methodologies.- Chapter 5. Stablecoins & the Decentralized Organization.- Chapter 6. Artificial Intelligence.- Chapter 7. Robotic Process Automation.- Chapter 8. The View from the Top.- Chapter 9. A New Niche for Practitioners.- Chapter 10. Leveraging Technology to Reduce Ambiguity.- Chapter 11. Internal Control Considerations.- Chapter 12. Current Use Cases Chapter 13.- Audit Implications of AI & Blockchain.- Chapter 14. Esg & Other Emerging Technology Applications.- Chapter 15. Cybersecurity & Insurance.- Chapter 16. Next Stage Applications.- Chapter 17. Data as an Asset.- Chapter 18. Elevation to Strategic Advisor.- Chapter 19. Conclusions & Future Directions.