Gen AI and DevOps for a Secure Cloud Future

This book provides a comprehensive overview of the application of Artificial Intelligence (AI) and Machine Learning (ML) in financial forensics, focusing on detecting fraud and securing assets. It is designed for financial forensic professionals, auditors, accountants, risk management specialists, and students and researchers in finance, accounting, and computer science.

The book covers key topics such as the fundamentals of AI and ML in financial forensics, data preprocessing and feature engineering for financial forensic analysis, machine learning algorithms and techniques for detecting financial crimes, deep learning models for financial forensic analysis, and real-world case studies and examples of AI and ML in financial forensics.

By reading this book, readers will gain a deep understanding of AI and ML concepts and techniques in financial forensics, as well as practical knowledge of how to apply AI and ML in financial forensic analysis. They will also gain insights into real-world applications and case studies of AI and ML in financial forensics, and develop the ability to identify potential challenges and limitations of AI and ML in financial forensics.

The book is organized into several sections, each focusing on a specific aspect of AI and ML in financial forensics. Each chapter includes practical examples, case studies, and illustrations to demonstrate key concepts and techniques, providing readers with a hands-on understanding of how to apply AI and ML in financial forensic analysis. Overall, this book provides a comprehensive and practical guide to the application of AI and ML in financial forensics, and is an invaluable resource for anyone looking to detect and prevent financial crimes.

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