Notas del episodio
This episode of our MLOps Weekly Podcast features Simba Khadder, Featureform’s CEO, where he unravels the true meaning of “real-time” machine learning. The discussion breaks down real-time ML into three core aspects: latency, online serving, and real-time features. Simba also covers:
- How latency impacts the speed of ML systems
- The distinctions between online and offline models
- Real-time features and the importance of a balance between data freshness and latency
This podcast will give listeners a better understanding of these concepts and apply them to their own ML projects.
Palabras clave
observabilitymlopsdata sciencemachine learningfeature storeautomlfeatureformdata platformlinkedinmachine learning infrastructureembeddingsvector databasevector searchdevopsdatastaxopensourceorchestrationdataflowmodel observabilitydataopsdata engineeringllmdata managemententerprisedata governancegenerative aidata qualitydata observabilityllmops