FEATURE STORE SUMMIT 2026 · community survey
We are asking the people at the summit how they get data into their ML and AI systems, what keeps breaking, and what they plan to change. We publish the results in aggregate, with architecture examples from the teams who agree to talk to us.
Pick one system you work on yourself (in production or not) and answer for that one. If you do not use a feature store, your answers count just the same.
Select all that apply.
FreshnessHow long a change in the source data takes to reach the system. API response time is a separate question.
Select up to two.
CommittedIt has an owner and a delivery date.
Optional. A sentence or two is plenty.
Each choice is separate.
We only publish aggregates. Anonymous answers are stored without a name, email or company. If you add your details, your answers are linked to them. Credit puts your name and company in the list of contributors, never next to your answers. We ask before we publish any quote or architecture detail.
THANK YOU · answers saved
Here is how they compare with everyone who answered so far.