AI in Risk Management and Fraud Detection
AI in Risk Management and Fraud Detection
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 54m | 94.7 MB
Instructor: Glenn Hopper
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 54m | 94.7 MB
Instructor: Glenn Hopper
In this course, instructor Glenn Hopper examines the role of AI in improving risk management and fraud detection, providing practical solutions for financial challenges. Explore ways to use machine learning techniques for anomaly detection. Learn about using generative AI applications to create automated fraud reports and alerts. Discover hands-on strategies to streamline workflows and level up your decision-making. This course emphasizes practical, hands-on implementation, equipping finance professionals with strategies to streamline workflows, detect anomalies, and enhance decision-making.
Learning objectives
- Demonstrate anomaly detection using machine learning algorithms with no-code machine learning tools.
- Analyze fraud patterns and extract actionable insights with AI.
- Break down the creation of detailed fraud reports and real-time alerts using generative AI.
- Identify optimal stages for integrating AI into financial risk management workflows to maximize efficiency.
AI in Risk Management and Fraud Detection
