AI Will Go Wrong and the Blueprint to Get It Right
Overview
| Experience | In Person |
|---|---|
| Track | Data Strategy |
| Industry | Healthcare & Life Sciences, Manufacturing, Financial Services |
| Technologies | Unity Catalog, Agent Bricks, Lakebase |
| Skill Level | Intermediate |
Most AI failures aren't technology problems — they're people, process, and architecture problems. In this hands-on session, you'll witness a live AI trainwreck: an agent operating without guardrails, governance, or the right organizational design. Then, in a real-time post-mortem, we will collectively dissect what broke and why. You'll map the missing middle layer: the intersection of roles, accountability structures, and platform architecture. And you'll work alongside peers to design practical fixes. The session closes with an exercise where attendees act as domain experts to train an AI Judge capable of scaling oversight across enterprise deployments. Expect minimal slides, maximum doing, and a concrete blueprint you can apply within 30 days. This session is built for executives who are tired of theoretical AI frameworks and want proven patterns that make AI projects safer, faster, and genuinely business-ready.
Session Speakers
Maria Zervou
/Chief AI Officer - EMEA
Databricks
Lexy Kassan
/Lead Data & AI Strategist
Databricks