Most enterprise AI projects don't fail at the model. They fail at the foundation.
The pattern is familiar: a promising proof of concept, then the initiative stalls. The cause usually isn't the AI. It's a data foundation without stable entity identity, complete history, or auditable lineage, the conditions that turn confident-sounding output into output you can actually trust.
We're joining Scalefree International for a live panel on how to fix the architecture underneath.
Data Vault: The Foundation for Trusted AI
📅 Tuesday, 30 June 2026
⏰ 09:00 CEST
On the panel: 🎙️ Julien Redmond, CEO of Ignition and IRiS
🎙️ Alexander Lai, IRiS Product Lead
🎙️ Ole Bause, Senior Consultant, Scalefree
We'll get into why the data foundation, not the model, is the real bottleneck for enterprise-grade AI, and how the right architecture delivers the semantic meaning, history, and lineage that reliable AI depends on.