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State of the Art Consumer Experiences: From Static to Dynamic
Real-time ML systems have unique data requirements and workflows
Design, build, centralize, serve, and manage features for production ML
Production-ready feature pipelines from simple declarative definitions
Managed feature lifecycle: Automate the tedious stuff
Enterprise feature store: Store and serve features at scale
ORGANIZATION CHALLENGES
PROCESS CHALLENGES
WE NEEDED A FEATURE PLATFORM
TECTON POWERS FEATURE LIFECYCLE IN OMNI PLATFORM