Egon Berghout,
Rob Fijneman,
Lennard Hendriks,
Mona de Boer,
Bert-Jan Butijn
e.a.
Springer
1e druk, 2023
9783031110917
Advanced Digital Auditing
Theory and Practice of Auditing Complex Information Systems and Technologies
Specificaties
Paperback, 256 blz.
|
Engels
Springer |
1e druk, 2023
ISBN13: 9783031110917
Rubricering
Onderdeel van serie
Progress in IS
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
This open access book discusses the most modern approach to auditing complex digital systems and technologies. It combines proven auditing approaches, advanced programming techniques and complex application areas, and covers the latest findings on theory and practice in this rapidly developing field.
Especially for those who want to learn more about novel approaches to testing complex information systems and related technologies, such as blockchain and self-learning systems, the book will be a valuable resource. It is aimed at students and practitioners who are interested in contemporary technology and managerial implications.
Specificaties
ISBN13:9783031110917
Taal:Engels
Bindwijze:paperback
Aantal pagina's:256
Uitgever:Springer
Druk:1
Verschijningsdatum:30-10-2023
Hoofdrubriek:Naslagwerken
Serie:Progress in IS
Inhoudsopgave
Chapter 1. Auditing Advanced Information Systems and Technologies in a Modern Digital World.
Chapter 2. Auditing Complexity.
Chapter 3. Introduction to Advanced Information Technology.
Chapter 4. The Intercompany Settlement Blockchain: Benefits, Risks and Internal IT Controls.
Chapter 5. Understanding Algorithms.
Chapter 6. Keeping Control on Deep Learning Image Recognition Algorithms.
Chapter 7. Algorithm Assurance: Auditing Applications of Artificial Intelligence.
Chapter 8. Demystifying Public Cloud Auditing for IT Auditors.
Chapter 9. Process Mining for Detailed Process Analysis.
Chapter 2. Auditing Complexity.
Chapter 3. Introduction to Advanced Information Technology.
Chapter 4. The Intercompany Settlement Blockchain: Benefits, Risks and Internal IT Controls.
Chapter 5. Understanding Algorithms.
Chapter 6. Keeping Control on Deep Learning Image Recognition Algorithms.
Chapter 7. Algorithm Assurance: Auditing Applications of Artificial Intelligence.
Chapter 8. Demystifying Public Cloud Auditing for IT Auditors.
Chapter 9. Process Mining for Detailed Process Analysis.
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