From data chaos to agent-accessible: How to move up the AI data maturity curve

🌐 Global friendly sessions on September 2 & 3

A CEO asks how many active customers the company has. Finance says one number, sales says another, ops says a third, all in the same thread. That's where most enterprises still are, and it's why AI pilots keep stalling before they reach production.

This session introduces the Enterprise AI Data Maturity Model, a five-stage framework for assessing where your organization stands today and building a credible roadmap to AI that actually works. Russell Christopher, Senior Director of Product Strategy at dbt Labs and Petyo Pahunchev, Chief Product Officer at Infinite Lambda, will walk through what separates organizations generating real AI ROI from those still running experiments, digging into real examples.

The stakes are real. Gartner puts the share of IT leaders worried about AI governance at 70%, and MIT research found 95% of enterprises are getting zero return from GenAI so far. The path to autonomous agentic systems runs directly through structured, governed data, not around it.

Whether you're defending last year's AI budget or planning the next wave of investment, you'll leave knowing where your org sits today, what's blocking the next stage, and how to make the case for closing that gap.

Meet the speakers

Russell Christopher

Senior Director of Product Strategy

dbt Labs

Petyo Pahunchev

Chief Product Officer

Infinite Lambda