What are some real-time ML use cases built on Databricks and Snowplow?

Real-time machine learning use cases built on Databricks and Snowplow include:

  • Personalized product recommendations: Use real-time behavioral data from Snowplow to make personalized recommendations on websites or in apps
  • Fraud detection: Analyze financial transactions and behavioral data in real time to flag fraudulent activities
  • Customer segmentation: Real-time analysis of customer behavior for dynamic segmentation based on live interactions
  • Predictive analytics: Use historical Snowplow data and real-time inputs to predict customer behavior or market trends

Learn How Builders Are Shaping the Future with Snowplow

From success stories and architecture deep dives to live events and AI trends — explore resources to help you design smarter data products and stay ahead of what’s next.

Browse our Latest Blog Posts

Get Started

Whether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.