Feature Store
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[ Past editions / 2022 ]

FSS/22

23 sessions · 24 speakers · Feature Store Summit 2022

[ WATCH / PLAYLIST ]

[ SPEAKERS // 24 ]

[ AGENDA // 23 ]

Oct 11, 03:30 PM UTC · 20 min · Kickoff
› Kick-off
Jim Dowling will talk about the featurestore.org community and kickstart the event.
Oct 11, 03:50 PM UTC · 25 min · Presentation
› Accelerating ML at Uber with the Palette Feature Store
Amit will show how the Michelangelo ML Platform uses the Palette Feature Store to address inefficiencies of the model lifecycle.
Oct 11, 04:15 PM UTC · 25 min · Presentation
› Hopsworks Feature Store after 4 years: Lessons learned and what's next
Hopsworks will share the lessons learned over the past four years of building their platform and what lies ahead.
Oct 11, 04:40 PM UTC · 25 min · Presentation
› Building A Feature Store For Hyper Growth
Brian will go over Doordash's feature store architecture, learnings from supporting CRDB and what it takes to build a feature store.
Oct 11, 05:05 PM UTC · 25 min · Presentation
› Feathr: An Enterprise-Grade, High Performance Feature Store
David and Xiaoyong will cover the background of Feathr, its core concepts and design, and their journey on scaling an enterprise FS.
Oct 11, 05:30 PM UTC · 30 min · Panel
› APIs for Feature Stores
A discussion on the historical evolution and the future of APIs for feature stores.
Oct 11, 06:05 PM UTC · 25 min · Presentation
› Nexus Feature Store powering Disney Magic
Dustin will describe his team's journey towards building Nexus, an in-house feature store and how it accelerates feature engineering.
Oct 11, 06:30 PM UTC · 25 min · Presentation
› Introducing Zipline: An Open Source Feature Engineering Platform
Nikhil will introduce Zipline, a declarative feature engineering platform developed at Airbnb, which will be open-sourced in March.
Oct 11, 06:55 PM UTC · 25 min · Presentation
› Fighting against Marketplace Scams using Community-driven AI
Sinan will cover how Shiba uses a Feature Store to maintain ML models with up-to-date data on how bad actors target communities.
Oct 11, 07:20 PM UTC · 25 min · Presentation
› Feature Store Observability: What it is, and why it matters
Aman will discuss the state of ML production monitoring, its challenges, and how to actively improve models and features in production.
Oct 11, 07:45 PM UTC · 30 min · Panel
› Data Quality & Feature Stores
A discussion on challenges of data quality for features and whether differentiate from general data quality requirements for analytics.
Oct 11, 08:20 PM UTC · 20 min · Presentation
› Hamilton: an open source, declarative, micro-framework for clean & robust feature transform code in Python
Stefan will present Hamilton an open source Python micro framework that solved his team's pain points by changing their working paradigm.
Oct 11, 08:40 PM UTC · 20 min · Presentation
› America First Credit Union optimizes their MLOps stack with the Hopsworks Feature Store
Richard will elaborate on how AFCU's adoption of the Hopsworks Feature Store has helped them significantly improve their workflows.
Oct 11, 09:00 PM UTC · 10 min · Presentation
› Fast Sub-ML use-case development using feature stores
Achnit will talk about Sub-ML, a class of applications simpler than traditional ML approaches and often used in decision support systems.
Oct 11, 09:10 PM UTC · 10 min · Presentation
› Feature Store Usage Patterns - From a Single Data Scientist to an Enterprise
Simba from Featureform will share the team's learnings from different companies on usage patterns of feature stores.
Oct 11, 09:20 PM UTC · 30 min · Panel
› How to make the Feature Store become an invisible part of the productionalization of ML models
A discussion on the challenges of making the feature store disappear and become part of the workflow of data science and data engineering.
Oct 11, 09:55 PM UTC · 20 min · Presentation
› Powering Enterprise Feature Stores with a Universal Semantic Layer
Gaurav will focus on how enterprises can apply the power of the semantic layer to enrich feature stores and scale business-ready AI.
Oct 11, 10:15 PM UTC · 10 min · Presentation
› Empowering your feature stores with AI feature discovery
Lulu from dotData will discuss how Feature Discovery and Feature Factory concepts can transform your feature development process.
Oct 11, 10:25 PM UTC · 20 min · Presentation
› Scaling Feature Engineering with Dagger
Ravi will discuss how Dagger can be used with feature stores to empower data scientists to make feature engineering self-service.
Oct 11, 10:45 PM UTC · 10 min · Presentation
› Designing Feature DSLs: Principles and Tradeoffs
Greg from Sumatra will discuss feature designs and describe their journey developing a DSL for streaming feature transformation.
Oct 11, 10:55 PM UTC · 10 min · Presentation
› ralf: Real-time, Accuracy Aware Feature Store Maintenance
Sarah, PhD will introduce the notion of feature store regret that helps evaluate feature quality of different maintenance policies.
Oct 11, 11:05 PM UTC · 10 min · Presentation
› OpenMLDB: An Open-Source Real-Time Feature Platform Computing Consistent Features for Training and Inference
Lu introduces OpenMLDB, an open-source ML database that provides a real-time feature platform for ML applications that reduces dev cost.
Oct 11, 11:15 PM UTC · 15 min · Wrap up
› Closing
Jim Dowling, Co-Founder and CEO, Hopsworks.

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