Artificial intelligence for risk management / Archie Addo, Srini Centhala, and Muthu Shanmugam.

Format:

Book

Author/Creator:

Addo, Archie, author.

Centhala, Srini, author.

Shanmugam, Muthu, author.

Language:

English

Subjects (All):

Artificial intelligence.

Physical Description:

1 online resource (164 pages)

Edition:

1st ed.

Place of Publication:

New York : Business Expert Press, [2020]

Summary:

Artificial Intelligence (AI) for Risk Managemen t is about using AI to manage risk in the corporate environment. The content of this work focuses on concepts, principles, and practical applications that are relevant to the corporate and technology environments. The authors introduce AI and discuss the different types, capabilities, and purposes-including challenges. With AI also comes risk. This book defines risk, provides examples, and includes information on the risk-management process. Having a solid knowledge base for an AI project is key and this book will help readers define the knowledge base needed for an AI project by developing and identifying objectives of the risk-knowledge base and knowledge acquisition for risk. This book will help you become a contributor on an AI team and learn how to tell a compelling story with AI to drive business action on risk.

Contents:

Cover

Contents

Acknowledgments

Chapter 1: Introduction

Chapter 2: Introduction to Artificial Intelligence

Chapter 3: Introduction to Risk

Chapter 4: Knowledge Base

Chapter 5: AI Solutions for Risk

Chapter 6: Identify Risk or Threat Model

Chapter 7: Risk Categorization/Classification Model

Chapter 8: Predicting Risk Impact Score Model

Chapter 9: Risk Probability Occurrence Model

Chapter 10: Risk Priority Model

Chapter 11: Conclusion

References

About the Authors

Index

Ad-Page

Backcover.

Notes:

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9781949443523

1949443523