.png){kind=small}
Julien Redmond
Why Data Vault Will Save Your AI Project
Julian Redmond, CEO of Iris and Ignition Data, explains why AI projects stall — and argues it's rarely the model's fault. He makes the case that Data Vault gives AI the consistent meaning, complete history, and explicit relationships it needs to reason over trustworthy data.
.png)
Data Vault for AI
.png)
Why AI Needs Trusted Data Foundations
.png)
Data Governance as the Real Bottleneck
Introducing the Presenter
Julien Redmond
CEO – Ignition & IRiS
Julien Redmond is the founder of IRiS and Ignition Data, with more than 15 years of experience in Data Vault and enterprise data management. He has worked with organisations across industries to design, implement and scale data architectures that prioritise flexibility, governance, auditability and long-term adaptability.
Today, Julien focuses on the evolving role of Data Vault within modern data platforms and Lakehouse architectures, and on how a strong, well-structured data foundation can support the growing demands of AI. His work explores the practical challenges of making enterprise data trusted, integrated and ready to support analytics, automation and AI.
Julien is a regular contributor to the Data Vault community, sharing practical experience and insights from real-world implementations, Data Vault education and the development of IRiS, a Data Vault automation platform.
Related Content
From Semantic Foundation to Trusted AI: What Data Vault Practitioners Need to Know About Building AI That Actually Works
Using real-world AI and analytics scenarios, Julien, Alex and Neil demonstrate how Data Vault provides the governance, semantics and traceability required to support trustworthy AI initiatives.
