Feature Store Summit 2023
Check out all videos and slides presented at the conference!
From building to using Feature Stores for ML systems
Fabio shows how to leverage the feature, training and inference pipelines paradigm to develop and productionize ML systems.
Get the presentationPalette Metadata Journey
The Uber team present their Palette Metadata Journey and how they have evolved the Metadata systems to meet Uber’s business needs.
Get the presentationWeChat's Feature Platform For Real-Time Recommender Systems
Jin introduces WeChat's feature platform, emphasizing on their Apache Arrow based vectorized feature compute engine.
Get the presentationProgrammatic Feature Definition and Maintenance with Wayfair’s Mercury Feature Platform
Alexander talks about Mercury, Wayfair's feature platfrom and discuss how it facilitated maintenance of their ML systems.
Get the presentationDriving Efficiency and Quality through a Feature Store at Delivery Hero
Breno talks about Delivery Hero's feature store platform and how it fosters standardization, feature reuse, and streamlined workflows.
Get the presentationStop Blaming the Algorithm: It’s Your Feature Store! - A guide to Monitoring your Feature Store
Claire elaborates on proactive issue detection in a feature store and model infrastructure to optimize model performance.
Get the presentationBringing ML Online: Defining ML Features in Real-Time with Bytewax
Zander discusses the vital but often neglected aspect of real-time ML systems and how Bytewax simplifies real-time feature pipelines.
Get the presentationFeature Engineering with Hamilton: Write Once Run Everywhere
Elijah talks about Hamilton, a lightweight open-source framework in python enabling data practitioners to build & scale feature pipelines.
Get the presentationDelivering Personalized & Realtime Context for LLM: Databricks Feature & Function Serving
The Databricks team demonstrates how to harness Databricks Feature and Function Serving with data in your Lakehouse for real-time context ingestion and retrieval.
Get the presentationFeature Stores aren't about Storage
Simba breaks down the different types of feature store architectures, focusing on virtual architecture and its role in the MLOps stack.
Get the presentationArchitecture of Fennel’s realtime feature platform
Nikhil unveils Fennel's architecture, highlighting design choices, tradeoffs, and the impressive capabilities the platform has to offer.
Get the presentationUber's Risk Knowledge Platform
The Uber team showcases the scale and architecture of their risk knowledge platfrom and the team's custom solutions in addressing complex challenges.
Get the presentationAccelerating Data Science through Feature Platforms and Generative AI
Xavier explores how bringing Feature Platforms and GenAI can make the entire feature engineering lifecycle more efficient.
Get the presentationOperationalizing AI at Scale with H2O Feature Store
Learn about the origins and motivations behind AT&T and H2O.ai's Feature Store as well as key concepts and capabilities.
Get the presentation