Machine Learning for Auditors

Machine Learning for Auditors
Author :
Publisher : Apress
Total Pages : 242
Release :
ISBN-13 : 1484280504
ISBN-10 : 9781484280508
Rating : 4/5 (08 Downloads)

Book Synopsis Machine Learning for Auditors by : Maris Sekar

Download or read book Machine Learning for Auditors written by Maris Sekar and published by Apress. This book was released on 2022-02-27 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Machine Learning for Auditors Related Books

Machine Learning for Auditors
Language: en
Pages: 242
Authors: Maris Sekar
Categories: Computers
Type: BOOK - Published: 2022-02-27 - Publisher: Apress

DOWNLOAD EBOOK

Use artificial intelligence (AI) techniques to build tools for auditing your organization. This is a practical book with implementation recipes that demystify A
Machine Learning Applications for Accounting Disclosure and Fraud Detection
Language: en
Pages: 270
Authors: Papadakis, Stylianos
Categories: Business & Economics
Type: BOOK - Published: 2020-10-02 - Publisher: IGI Global

DOWNLOAD EBOOK

The prediction of the valuation of the “quality” of firm accounting disclosure is an emerging economic problem that has not been adequately analyzed in the
Artificial Intelligence for Audit, Forensic Accounting, and Valuation
Language: en
Pages: 326
Authors: Al Naqvi
Categories: Business & Economics
Type: BOOK - Published: 2020-08-25 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Strategically integrate AI into your organization to compete in the tech era The rise of artificial intelligence is nothing short of a technological revolution.
Robo-Auditing
Language: en
Pages: 120
Authors: Patrick J. D. Taylor
Categories: Business & Economics
Type: BOOK - Published: 2018-07-10 - Publisher: Lioncrest Publishing

DOWNLOAD EBOOK

As CFO of a large company, you might have considered adding an artificial intelligence system into your financial operations to increase efficiency, boost profi
Artificial Intelligence in Accounting and Auditing
Language: en
Pages: 424
Authors: Miklos A. Vasarhelyi
Categories: Accounting
Type: BOOK - Published: 1988 - Publisher: Berg Publishers

DOWNLOAD EBOOK

A study of artificial intelligence in accounting and auditing. Topics addressed include: expert systems for audit tasks; REA accounting database evolution; fuzz