Machine Learning for Auditors : Automating Fraud Investigations Through Artificial Intelligence

Name: Machine Learning for Auditors : Automating Fraud Investigations Through Artificial Intelligence
Author: Maris Sekar
ISBN: 9781484280508

Maris Sekar

Language: English

Published by Apress, 2022

1484280504 / 9781484280508

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Zustand: Gut | Seiten: 260 | Sprache: Englisch | Produktart: Bücher | Intermediate user level.

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Title: Machine Learning for Auditors : Automating Fraud Investigations Through Artificial Intelligence
Author: Maris Sekar
Publisher: Apress
Publication year: 2022
Condition: Gut
Binding: Soft cover
Language: English
ISBN 10: 1484280504
ISBN 13: 9781484280508
Seller catalogs: Bücher

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.

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Machine Learning for Auditors : Automating Fraud Investigations Through Artificial Intelligence

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