top of page
DVUG Meetup Image (1).jpg

Marc de Burlet

The synergies of AI & Data Vault

Marc de Burlet shows three ways AI and Data Vault reinforce each other — accelerating builds, becoming AI's trusted foundation, and looping AI output back in as a new source.

Thinking Icon White (1).png

Accelerating Data Vault With AI Agents

Thinking Icon White (1).png

One Trusted Model for Every AI Query

Thinking Icon White (1).png

Closing the Loop: AI Becomes a Source

Introducing the Presenter

Marc de Burlet

Product Owner at dFakto

Marc de Burlet is Product Owner at dFakto, where he focuses on Data Vault, data architecture and the development of AI-ready data platforms. With around eight years of experience at dFakto and as a certified Data Vault 2.1 Practitioner, Marc brings a practical, business-focused perspective to building scalable and adaptable data solutions.

His work explores the evolving relationship between Data Vault and AI, including how reliable data foundations, automation and agentic workflows can help organisations build and scale modern data platforms. Marc is a regular speaker on Data Vault, data architecture and the role of trusted data in enabling AI.








Read the Blog in Full

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.

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.

How AutomateDV Can Help Build Your Data Vault

Introduces AutomateDV (formerly dbtvault), the open-source tool for automating Data Vault builds.

bottom of page