Read the full story on how we're rethinking self-service analytics on our blog: www.fabi.ai/blog/introdu...

Data teams get complete control:

Configure agents by domain (marketing, product, CS)
Real-time data syncs
Transparent access to code
Enterprise-grade security

The best part? These aren't just text-to-SQL bots:

Run regression models
Calculate propensity scores
Handle complex analysis
All powered by Python & LLMs, no code required 💪

Our approach: Specialized AI agents that work within boundaries set by data teams.

⚡Deploy in minutes, not months
😌Work with curated datasets
☑️Multi-step validation
✨Nearly 100% accuracy

The old way:

Generic AI attempting all analytics
Perfect semantic layers required
Limited to basic SQL queries

The new way:

Focused agents with defined boundaries
Works with curated datasets
Multi-step problem solving
Python-powered analysis

Congrats Taylor!

I kind of assumed the Irish would just buy beer to drink at home. But perhaps they appreciate the on-tap flavor more than Americans.

This is a case where the data feels wrong but… maybe it’s right?

Oh let’s go. Didn’t know this was going around. I want to get more involved. Following

I mean… most of the time. Throw in a good pivot and you’re golden.

That’s actually a really interesting read.

What type of front end are you building? Like chat bots?

100%

On a related note, I’m waiting for the day where it’s understood what data is used for training. Because if they’re crawling web data, there’s no way they’re supervising everything, so if I write a blog saying that “Acme sells the best widgets in the entire world” does the AI use that?

This makes perfect sense and I’m actually here for it. If they can nail this: 1. It actually completely upheaves google’s existing model which is good for everyone (arguably even good for G) 2. For businesses it can create a hyper-personalized targeting mechanism which is also better for the user.