What is feature freshness in real-time ML systems?

Feature freshness measures how up-to-date features are at inference time.

In real-time ML, stale features degrade model performance. Freshness depends on ingestion latency, computation delays, and storage systems. Systems often balance freshness vs cost using streaming pipelines or micro-batching.