Is the event free to attend?
Yes! As all featurestore.org events, this summit is free and open to anyone who wants to attend.
Real-Time AI, LLMs and Vector Databases
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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.
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.
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.
This year, the Feature Store Summit will focus on how real-time systems, LLM pipelines, and vector-native architectures are redefining data platforms for AI.
From engineering best practices to emerging patterns in production, the summit brings together a global community of practitioners and researchers building the next generation of AI infrastructure.
Talks on real-time feature engineering, online feature stores, low-latency pipelines, and building real-time AI systems with LLMs. Topics include event-driven data systems, data freshness, consistency, and operating at scale.
Talks on using external data with LLMs—RAG pipelines, Model Context Protocol (MCP), time-traveling data sources, EVAL strategies, managing LLM traces, and building instruction datasets for fine-tuning.
Talks on integrating Lakehouse tables with AI workflows—covering training, inference, and system design. Ideal for teams rethinking how tabular data fits into modern AI stacks.
Submission Deadline: July 4th, 2025
This year, we are looking for talks that go beyond the basics. Bring us your newest ideas, boldest experiments, and hard-earned lessons. If you are working at the edge of AI infrastructure, this is your community.
Whether you are deploying AI systems in production, architecting platforms for generative models, or integrating vector search into your machine learning workflows, we invite you to share your work.
"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."
“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.”
“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.”
Yes! As all featurestore.org events, this summit is free and open to anyone who wants to attend.
Yes! All talks will be live & online with the possibility to interact with the speakers through Slack.
You're welcome to join us as a partner organization or community. Feel free to contact us for more information.
