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Machine Learning for Auditors
- Automating Fraud Investigations Through Artificial Intelligence
Engelsk Paperback
Machine Learning for Auditors
- Automating Fraud Investigations Through Artificial Intelligence
Engelsk Paperback

589 kr
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Sikker betaling
6 - 8 hverdage

Om denne bog
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 LearnUnderstand the role of auditors as trusted advisorsPerform exploratory data analysis to gain a deeper understanding of your organizationBuild machine learning predictive models that detect fraudulent vendor payments and expensesIntegrate data analytics with existing and new technologiesLeverage storytelling to communicate and validate your findings effectivelyApply practical implementation use cases within your organizationWho This Book Is ForAI 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. 
Product detaljer
Sprog:
Engelsk
Sider:
242
ISBN-13:
9781484280508
Indbinding:
Paperback
Udgave:
ISBN-10:
1484280504
Kategori:
Udg. Dato:
27 feb 2022
Længde:
0mm
Bredde:
178mm
Højde:
254mm
Forlag:
APress
Oplagsdato:
27 feb 2022
Forfatter(e):
Kategori sammenhænge