AI-driven fraud detection and prevention strategies
The application of AI in fraud detection within Dynamics 365 AI embodies a multifaceted approach, combining the nuanced capabilities of machine learning (ML), natural language processing (NLP), and predictive analytics to create a robust defense against fraudulent activities. Let’s explore these components in more detail and how they integrate into fraud prevention strategies.
Machine learning for pattern recognition
Pattern recognition involves identifying and classifying patterns in data. In the context of machine learning, these patterns could be anything from visual patterns in images, patterns in time-series data, or patterns in customer behavior.
- Supervised learning: These ML models are trained on labeled datasets, learning to distinguish between fraudulent and legitimate transactions based on historical examples. This training enables the models to apply learned patterns to new transactions, effectively...
