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AI tech talk: Feature stores for ML pipelines

About

Machine learning pipelines demand feature stores that are fast, reliable, and built to scale. In this 15-minute tech talk, learn how Redis delivers sub-millisecond latency, high availability, and flexible data structures to power real-time fraud detection, smarter recommendations, and predictive insights—giving your ML models the right data exactly when they need it.

27 minutes
Key topics
  1. Why feature stores matter for real-time ML
  2. How Redis powers fast, scalable, production-ready ML systems
  3. Real examples of Redis in fraud detection and low-latency processing
  4. Live demo of Redis feature storage for rule-based and ML solutions
Speakers
Talon Miller

Talon Miller

Principal Technical Marketer

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