Feature Store
Summit 2026Register ▸

[ Past editions / 2023 ]

FSS/23

18 sessions · 23 speakers · Feature Store Summit 2023

[ WATCH / PLAYLIST ]

[ AGENDA // 18 ]

Oct 11, 06:30 AM UTC · 10 min · Kickoff
› Kick-off
Jim Dowling will kick off the event with a retrospective analysis of the feature store landscape in 2023.
Oct 11, 06:40 AM UTC · 30 min · Presentation
› From building to using Feature Stores for ML Systems
Learn how to leverage the feature, training and inference pipelines paradigm to develop and productionize ML systems.
Oct 11, 07:10 AM UTC · 30 min · Presentation
› Palette Metadata Journey
The Uber team will present their Palette Metadata Journey and how they have evolved the Metadata systems to meet Uber’s business needs.
Oct 11, 07:40 AM UTC · 30 min · Presentation
› WeChat's Feature Platform For Real-Time Recommender Systems
Jin will introduce WeChat's feature platform, emphasizing on their Apache Arrow based vectorized feature compute engine.
Oct 11, 08:15 AM UTC · 30 min · Presentation
› Programmatic Feature Definition and Maintenance with Wayfair’s Mercury Feature Platform
Alexander will talk about Mercury, Wayfair's feature platfrom and discuss how it facilitated maintenance of their ML systems.
Oct 11, 08:45 AM UTC · 30 min · Presentation
› The Logical Feature Store: Managing Data for ML
Georgia will introduce the logical feature store, its data management capabilities, and organizational design patterns to support them.
Oct 11, 09:15 AM UTC · 30 min · Presentation
› Driving Efficiency and Quality through a Feature Store at Delivery Hero
Breno talks about their feature store platform and how it fosters standardization, feature reuse, and streamlined workflows.
Oct 11, 09:55 AM UTC · 25 min · Presentation
› Stop Blaming the Algorithm: It’s Your Feature Store! - A guide to Monitoring your Feature Store
Claire will elaborate on proactive issue detection in a feature store and model infrastructure to optimize model performance.
Oct 11, 10:20 AM UTC · 25 min · Presentation
› Bringing ML Online: Defining ML Features in Real-Time with Bytewax
Zander will discuss the vital but often neglected aspect of real-time ML systems and how Bytewax simplifies real-time feature pipelines.
Oct 11, 10:45 AM UTC · 25 min · Presentation
› Feature Engineering with Hamilton: Write Once Run Everywhere
Elijah will discuss Hamilton, a lightweight open-source framework in python enabling data practitioners to build & scale feature pipelines
Oct 11, 11:10 AM UTC · 25 min · Presentation
› Delivering Personalized & Realtime Context for LLM: Databricks Feature & Function Serving
Discover how to harness Databricks Feature and Function Serving with data in your Lakehouse for real-time context ingestion and retrieval.
Oct 11, 11:40 AM UTC · 25 min · Presentation
› Feature 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.
Oct 11, 12:05 PM UTC · 25 min · Presentation
› Architecture of Fennel’s Real -Time feature platform
Nikhil unveils Fennel's architecture, highlighting design choices, tradeoffs, and the impressive capabilities the platform has to offer.
Oct 11, 12:30 PM UTC · 25 min · Presentation
› Uber's Risk Knowledge Platform
Explore the scale and architecture of Uber's risk knowledge platfrom and the team's custom solutions in addressing complex challenges.
Oct 11, 12:55 PM UTC · 25 min · Presentation
› Accelerating Data Science through Feature Platforms and Generative AI
Xavier will explore how bringing Feature Platforms and GenAI can make the entire feature engineering lifecycle more efficient.
Oct 11, 01:20 PM UTC · 25 min · Presentation
› Operationalizing 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.
Oct 11, 01:45 PM UTC · 10 min · Wrap up
› Wrap-up
Jim Dowling wraps up the event.
Dec 5, 04:00 PM UTC · 30 min · Kickoff
› Conference Opening
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Quis quis doloril temps, pulvinar at enim felis. Consequat gravida phasellus.

◂ FSS/22 [ archive ]FSS/24 ▸