A 60-minute session on why pointing AI at your analytics data is easy, but getting answers you can trust from it is not.
Pointing AI at your analytics data is easy. But can you trust the answers?
Join Zac Nash, our Data Engineering Director, as he shares the lessons from building Inspectre, our own AI analytics agent. Discover why the team deliberately made it less intelligent, why context matters, and why the most trusted part of the tool doesn't use AI at all.
Find out what it really takes to make AI analytics trustworthy. Save your seat.
When: 28 October 11:30 am - 12:30 pm
With: Zac Nash
Why we built it, and how we broke it
The questions a dashboard can’t answer
Why analysts had no time to ask them
A first build that demoed beautifully
How well-meant fixes made it dumber
What actually made it work
Why the fix was knowledge, not architecture
What an AI needs to know about your data
Why static context is dead
Adding is easy. Who removes?
Trust, rollout and next steps
Keeping raw data inside the warehouse
Red lines, and when AI should push back
Why the best part has no AI in it
Rolling out at the speed of trust
Turn on the GA4 BigQuery export today
Write down your definitions and owners
Live Q&A
Put your questions to Zac
Can't make it live? Register anyway and we'll send you the recording.
Attendees should leave understanding:
Why the model is rarely the hard part
Which questions AI analytics is for
Why static context is dead
Why asking an AI to be careful fails
Why good analysts get harder to replace
In this session you'll learn how to:
Spot where AI analytics earns its place
Set red lines for what AI must never do
Ask questions that don’t lead the answer
Keep your AI’s context current
Roll AI out at the speed of trust
Take the first two steps this week
If you work in any of these roles or similar, this session's for you.
Head of Data / Head of Analytics
Head of Digital / Digital Director
Marketing Director / CMO
Head of Marketing - and similar roles
Zac Nash, Data Engineering Director, Fresh Egg
Zac leads data engineering at Fresh Egg, where he's spent the past three years building the agency's technical foundations, Inspectre included. Before that, he worked as a data science consultant, building customer segmentation and marketing mix models for brands across sectors.
