
Artificial Intelligence for Risk Mitigation in the Financial Industry
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Artificial Intelligence for Risk Mitigation in the Financial Industry
About this book
Artificial Intelligence for Risk Mitigation in the Financial Industry
This book extensively explores the implementation of AI in the risk mitigation process and provides information for auditing, banking, and financial sectors on how to reduce risk and enhance effective reliability.
The applications of the financial industry incorporate vast volumes of structured and unstructured data to gain insight into the financial and non-financial performance of companies. As a result of exponentially increasing data, auditors and management professionals need to enhance processing capabilities while maintaining the effectiveness and reliability of the risk mitigation process. The risk mitigation and audit procedures are processes involving the progression of activities to "transform inputs into output." As AI systems continue to grow mainstream, it is difficult to imagine an aspect of risk mitigation in the financial industry that will not require AI-related assurance or AI-assisted advisory services. AI can be used as a strong tool in many ways, like the prevention of fraud, money laundering, and cybercrime, detection of risks and probability of NPAs at early stages, sound lending, etc.
Audience
This is an introductory book that provides insights into the advantages of risk mitigation by the adoption of AI in the financial industry. The subject is not only restricted to individuals like researchers, auditors, and management professionals, but also includes decision-making authorities like the government. This book is a valuable guide to the utilization of AI for risk mitigation and will serve as an important standalone reference for years to come.
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Information
Table of contents
- Cover
- Table of Contents
- Series Page
- Title Page
- Copyright Page
- Preface
- 1 Artificial Intelligence in Risk Management
- 2 Application of Artificial Intelligence in Risk Assessment and Mitigation in Banks
- 3 Artificial Intelligence and Financial Risk Mitigation
- 4 Artificial Intelligence Adoption in the Indian Banking and Financial Industry: Current Status and Future Opportunities
- 5 Impact of AI Adoption in Current Trends of the Financial Industry
- 6 Artificial Intelligence Applications in the Indian Financial Ecosystem
- 7 The Extraction of Features That Characterize Financial Fraud Behavior by Machine Learning Algorithms
- 8 A New Surge of Interest in the Cybersecurity of VIP Clients is the First Step Toward the Return of the Previously Used Positioning Practice in Domestic Private Banking
- 9 Determinants of Financial Distress in Select Indian Asset Reconstruction Companies Using Artificial Neural Networks
- 10 The Framework of Feature Extraction for Financial Fraud Behavior and Applications
- 11 Real-Time Analysis of Banking Data with AI Technologies
- 12 Risks in Amalgamation of Artificial Intelligence with Other Recent Technologies
- 13 Exploring the Role of ChatGPT in the Law Enforcement and Banking Sectors
- Index
- End User License Agreement