Databricks and Snowplow can help with fraud detection in financial services by analyzing behavioral and transactional data in real time:

• Snowplow captures detailed event data, such as transactions, login attempts, and account activities
• Databricks processes this data in real time, using machine learning models to detect anomalies or patterns that indicate fraudulent activity
• Fraud detection models can be trained on historical data and continuously improved with incoming Snowplow event data, allowing businesses to detect fraud in real time

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