Introduction
AI-powered solutions for risk management
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Using AI in risk management and fraud detection
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1. Foundations of AI in Risk Management
Understanding risk management and AI
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Key techniques for anomaly detection
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Generative AI for fraud detection and reporting
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Identifying AI opportunities in risk workflows
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2. Building Anomaly Detection Models
Data understanding and preparation in ChatGPT
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Handling imbalanced datasets
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Feature engineering and preprocessing in ChatGPT
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Building and evaluating baseline models
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Advanced modeling and hyperparameter tuning
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Model interpretation, validation, and monitoring
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3. Applying Generative AI to Fraud Reporting
Automating fraud alerts with generative AI
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Designing comprehensive fraud reports
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Integrating AI tools into finance operations
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Best practices and emerging trends
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Conclusion
Continue your AI risk management journey
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Ex_Files_AI_Risk_Mgmt_Fraud_Detection.zip
(44 KB)