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Machine Learning for Auditors: Automating Fraud Investigations Through Artificial Intelligence - Softcover

Sekar, Maris

 
9781484280508: Machine Learning for Auditors: Automating Fraud Investigations Through Artificial Intelligence
Softcover
ISBN 10: 1484280504 ISBN 13: 9781484280508
Verlag: Apress, 2022

Inhaltsangabe

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. 

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

​Maris Sekar is a professional computer engineer, Certified Information Systems Auditor (ISACA), and Senior Data Scientist (Data Science Council of America). He has a passion for using storytelling to communicate on high-risk items within an organization to enable better decision making and drive operational efficiencies. He has cross-functional work experience in various domains such as risk management, data analysis and strategy, and has functioned as a subject matter expert in organizations such as PricewaterhouseCoopers LLP, Shell Canada Ltd., and TC Energy. Maris’ love for data has motivated him to win awards, write LinkedIn articles, and publish two papers with IEEE on applied machine learning and data science.

Von der hinteren Coverseite

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 intimidatingconcept 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



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Verlag
Apress
Erscheinungsdatum
2022
Sprache
Englisch
ISBN 10 
1484280504
ISBN 13 
9781484280508
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
260
Kontakt zum Hersteller
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3
Heidelberg
69115
Deutschland

Weitere beliebte Ausgaben desselben Titels

9781484284056: Machine Learning for Auditors: Automating Fraud Investigations Through Artificial Intelligence

Vorgestellte Ausgabe

ISBN 10:  1484284054 ISBN 13:  9781484284056
Softcover