Tecton Blog Understanding the Feature Freshness Problem in Real-Time ML

How quickly can your ML system capture and act on recent user signals? For time-sensitive applications like fraud detection and recommender systems, the most recent events are often the most relevant predictive signals. Like a user's browsing ...The post Understanding the Feature Freshness Problem in Real-Time ML appeared first on Tecton.