A Simple, Managed Platform - Modern Feature Engineering on Databricks

The hardest part of real-time ML is the feature plumbing. Teams spend time creating and maintaining fragmented pipelines rather than focusing on their ML capabilities. Declarative Features breaks that cycle. Define what a feature is (source, entity, aggregation, time window) and let the platform compute it correctly in every context. This session covers Declarative Features, our managed feature pipeline offering, and explains how they can take your ML platform into the next phase of growth.