Amplitude AI Data Readiness & AI Context Setup
Amplitude AI can give you confident, expert-level answers in seconds. But only if your data and context are set up to support it.
Most teams skip this step and wonder why AI keeps getting things wrong. This session is designed to fix that — walking admins and data owners through exactly what to configure, what to clean up, and where to focus first so your whole team gets better results from Amplitude AI.
Come ready to audit your data.
What this session covers
Why data quality is the single biggest lever for improving AI accuracy in Amplitude
The difference between Organization Context and Project Context, and what belongs in each
How to write AI Context that actually works: structure, specificity, and what to avoid
The highest-impact, lowest-effort data cleanup actions you can take this week
How to use the Data Assistant Agent to run an AI readiness audit of your taxonomy
What this is great for
Understanding why AI is giving inconsistent or incorrect results — and what to do about it
Getting your Org and Project Context set up correctly from scratch, or fixed if it's been neglected
Learning which cleanup actions move the needle on AI accuracy vs. which ones can wait
Leaving with two concrete next steps you can take and implement the same day
Who should attend?
Amplitude Admins or Managers, and data owners who are responsible for Amplitude implementation quality
Session format
60-minute live instructor-led webinar with the Amplitude Education team
Can't make it live? Register and you'll receive the recording.