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DATA FOR AI:
Real-Time, Batch, and LLMs

FEATURE STORE SUMMIT 2024
OCTOBER 15, 2024 - ORGANIZED BY HOPSWORKS
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karolinska instutet logoamerica first credit union logo karolinska instutet logo
america first credit union logo karolinska instutet logokarolinska instutet logokarolinska instutet logoamerica first credit union logo karolinska instutet logo
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The Featurestore.org Community

Feature Store for ML logo

What is a feature store?

A data warehouse for machine learning and a pivotal technology for managing the entire lifecycle of features, from training different models to providing low-latency access to features.

About the community

A forum for the international community of users and developers of Feature Store platforms for machine learning and tools to share ideas and learn from each other.

What we do

We promote discussion of best practices, new approaches, and emerging technologies for feature engineering, feature management, and feature usage for model training and model serving.

15
october
4
PANELS
20+
speakers
20+
SPEAKERS

Enabling Data for AI

For the 4th year in a row we will bring together researchers, professionals, and educators to present and discuss advances in Data and AI. We aim to combine advances in technology and new use cases for managing data for AI.

Request RecordingsApply to speak
ORGANIZED BY
Hopsworks logo

What to expect

Real-Time & Batch AI Systems

Talks focusing on real-time feature engineering, low latency data stores, the integration of feature stores with analytical data & batch data processing pipelines, and much more.

Large Language Model (LLM) AI Systems

Talks highlighting the intersection of feature stores with Large Language Models (LLMs). How to manage data for LLMs, from retrieval augmented generation (RAG), to instruction datasets for fine-tuning.

How to Build an AI Factory

Talks highlighting how feature stores enable improvements in delivering better models faster at large organizations. How feature stores enable new ways of working and improvements in organizational efficiency.

Call for Proposals is closed!

Speakers and agenda will be announced soon.

AGENDA

October 15th - PT (GMT -7)
🎙️ Presentations ⚡ Intro/Closing  📅 Calendar Link

OUR SPEAKERS

PARTNERS

what our attendees say

"The event showed all the different ways to see and work with Feature Stores, opened my mind to understand the path for my own journey to use in our Data Platform."

Fulvio Mascara

Chief Scientist at Foursys

“The summit was great to see how other companies are solving similar problems with different techniques. It helped us see what we were doing right/wrong, and in which areas we could improve our ML infrastructure.”

Deniz Parmaksız

Sr. Machine Learning Engineer at Insider

“As we are evaluating technology and/or commercial options for Feature store this event helped us understand the importance of a Feature Store and the various cutting-edge technologies that facilitate bringing ML models into production.”

Nithya Rao

Data Analytics Engineer at AllState

FAQs

01

Is the event free to attend?

Yes! As all featurestore.org events, this summit is free and open to anyone who wants to attend.

02

It is a virtual event?

Yes! All talks will be live & online with the possibility to interact with the speakers through Slack.

03

I have an interesting technology that I'd like to showcase. How can I present it during the summit?

Call for proposals is now .
04

Can I sponsor the event?

You're welcome to join us as a partner organization or community. Feel free to contact us for more information.

Join our Slack channel to stay up to date on all the latest feature store news, including early notifications for conference updates.