Jim Dowling wraps up the event.
Learn how to build real-time fraud detection pipelines with Quix Streams, a Python library, for faster, simpler feature computation.
Explore how Uber uses embeddings for ML systems, covering their lifecycle, from creation to deployment, and their impact on performance.
Stripe explores Shepherd's architecture: Flink, tiled data storage, and an automated control plane for faster feature development.
