What are examples of real-time personalization using Azure ML + Snowplow data?

Recommendation Systems: Snowplow captures user behavior data, and Azure ML uses this data to deliver personalized product or content recommendations based on past interactions.

Dynamic Pricing: Based on user activity tracked by Snowplow, Azure ML can adjust pricing dynamically, offering discounts or incentives to high-value users.

Targeted Campaigns: Azure ML can segment Snowplow-enriched user data and trigger real-time marketing campaigns tailored to individual users.

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