FEATURE STORE SUMMIT 2026 · community survey

The Production AI Data Blueprint 2026

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.

01What does this system primarily do?
02What stage is it at today?
03Which components currently supply its model inputs or agent context?

Select all that apply.

04For its most time-sensitive input, how quickly must a change in source data become available to the system?

FreshnessHow long a change in the source data takes to reach the system. API response time is a separate question.

05Which two issues caused the most unplanned engineering work during the past 90 days?

Select up to two.

06For the most recent new data input, how long did it take from starting integration to production use?
07Across your team's predictive ML and LLM or agent systems, how much data infrastructure is shared today?
08What is the main infrastructure change your team has committed to delivering within the next six months?

CommittedIt has an owner and a delivery date.

09What is one architecture decision you would change if you were rebuilding this system today, and why?

Optional. A sentence or two is plenty.

Only if you have no current system 02What would you build first?
Only if you have no current system 03What is holding you back?

Select up to two.

About youWhat is your role?
About youHow many people work on data and ML in your organisation?
Last oneHow do you want to take part?

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

Thanks, we have your answers.

Here is how they compare with everyone who answered so far.