Real-Time Machine Learning Has Entered The Realm Of The Possible

Summary

Machine learning models have predominantly been built and updated in a batch modality. While this is operationally simpler, it doesn't always provide the best experience or capabilities for end users of the model. Tecton has been investing in the infrastructure and workflows that enable building and updating ML models with real-time data to allow you to react to real-world events as they happen. In this episode CTO Kevin Stumpf explores they benefits of real-time machine learning and the systems …

benefits building cto data development events experience infrastructure investing machine machine learning machine learning models maintenance ml models react real-time real-time machine learning real-time ml summary support systems tecton workflows world