Low Latency AI/ML Feature Serving With Redis Enterprise

Learn how to speed up serving of features for real-time ML inferencing

No matter how great your machine learning models are, if they take just milliseconds too long to make predictions, users will click on something else in the case of recommendation systems.  The shift to online from batch ML model inferencing necessitates a real-time data platform that can handle high volumes of data with low latency.

Read the solution brief to discover:

• How feature stores are a critical component of the modern AI/ML platform stack that enable consistent MLOps best practices
• Redis Enterprise makes feature serving faster and highly available while lowering costs
• Customer stories and reference architectures using Redis Cloud as the online feature store.