04879nam 2200577 450 991054817680332120221006152107.01-4842-8051-210.1007/978-1-4842-8051-59781484280515(MiAaPQ)EBC6896984(Au-PeEL)EBL6896984(CKB)21325604100041(OCoLC)1301273982(OCoLC-P)1301273982(CaSebORM)9781484280515(PPN)260832685(EXLCZ)992132560410004120221006d2022 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMachine learning for auditors automating fraud investigations through artificial intelligence /Maris Sekar[First edition].New York, New York :Apress Media LLC,[2022]©20221 online resource (241 pages)Includes index.Print version: Sekar, Maris Machine Learning for Auditors Berkeley, CA : Apress L. P.,c2022 9781484280508 Includes bibliographical references and index.Part I. Trusted Advisors -- 1. Three Lines of Defense -- 2. Common Audit Challenges -- 3. Existing Solutions -- 4. Data Analytics -- 5. Analytics Structure & Environment -- Part II. Understanding Artificial Intelligence -- 6. Introduction to AI, Data Science, and Machine Learning -- 7. Myths and Misconceptions -- 8. Trust, but Verify -- 9. Machine Learning Fundamentals -- 10. Data Lakes -- 11. Leveraging the Cloud -- 12. SCADA and Operational Technology -- Part III. Storytelling -- 13. What is Storytelling? -- 14. Why Storytelling? -- 15. When to Use Storytelling -- 16. Types of Visualizations -- 17. Effective Stories -- 18. Storytelling Tools -- 19. Storytelling in Auditing -- Part IV. Implementation Recipes -- 20. How to Use the Recipes -- 21. Fraud and Anomaly Detection -- 22. Access Management -- 23. Project Management -- 24. Data Exploration -- 25. Vendor Duplicate Payments -- 26. CAATs 2.0 -- 27. Log Analysis -- 28. Concluding Remarks.Use artificial intelligence (AI) techniques to build tools for auditing your organization. This is a practical book with implementation recipes that demystify AI, ML, and data science and their roles as applied to auditing. You will learn about data analysis techniques that will help you gain insights into your data and become a better data storyteller. The guidance in this book around applying artificial intelligence in support of audit investigations helps you gain credibility and trust with your internal and external clients. A systematic process to verify your findings is also discussed to ensure the accuracy of your findings. Machine Learning for Auditors provides an emphasis on domain knowledge over complex data science know how that enables you to think like a data scientist. The book helps you achieve the objectives of safeguarding the confidentiality, integrity, and availability of your organizational assets. Data science does not need to be an intimidating concept for audit managers and directors. With the knowledge in this book, you can leverage simple concepts that are beyond mere buzz words to practice innovation in your team. You can build your credibility and trust with your internal and external clients by understanding the data that drives your organization. What You Will Learn Understand the role of auditors as trusted advisors Perform exploratory data analysis to gain a deeper understanding of your organization Build machine learning predictive models that detect fraudulent vendor payments and expenses Integrate data analytics with existing and new technologies Leverage storytelling to communicate and validate your findings effectively Apply practical implementation use cases within your organization Who This Book Is For AI Auditing is for internal auditors who are looking to use data analytics and data science to better understand their organizational data. It is for auditors interested in implementing predictive and prescriptive analytics in support of better decision making and risk-based testing of your organizational processes.Auditing, InternalData processingCorporationsAccountingData processingFraudPreventionMachine learningAuditing, InternalData processing.CorporationsAccountingData processing.FraudPrevention.Machine learning.657.0285631Sekar Maris1208941MiAaPQMiAaPQMiAaPQBOOK9910548176803321Machine Learning for Auditors2789086UNINA02297nam 22005053 450 991014866960332120230630080355.097828061079612806107962(CKB)3810000000044058(MiAaPQ)EBC30609210(Au-PeEL)EBL30609210(Exl-AI)30609210(FR-PaCSA)88842172(FRCYB88842172)88842172(OCoLC)1388495960(Perlego)3108978(EXLCZ)99381000000004405820230630d2015 uy 0freurcnu||||||||txtrdacontentcrdamediacrrdacarrierCorps et Symbolisation De l'importance des Espaces en Creux1st ed.Paris :Academia-Bruylant,2015.©2015.1 online resource (128 pages)9782806102355 2806102359 This scholarly work by Hélène Flambard explores the psychological and societal implications of 'lack' and 'void' in modern society. It examines the body's role in the development of the psyche, emphasizing the transition from physical to mental processes, and the importance of symbolization. The author delves into the effects of an aversion to emptiness and boredom, considering both personal and societal consequences. With a focus on clinical psychology, particularly in the context of children and adolescents, the book discusses the importance of the body and various mediations in psychological practice. Aimed at psychologists and mental health professionals, it seeks to provide a comprehensive understanding of the interplay between corporeal and psychological elements, and the significance of embracing absence as a necessary component of mental development.Generated by AI.Corps et symbolisation Symbolism (Psychology)Generated by AIPsychotherapyGenerated by AISymbolism (Psychology)PsychotherapyFlambard Hélène1367977MiAaPQMiAaPQMiAaPQBOOK9910148669603321Corps et Symbolisation3392222UNINA