Data Vault for AI Semantic Layer & Meta Vault to Meta Marts

Join us for two exciting Data Vault Sessions you won't want to miss....

Thibaut De Vylder (Founder and CEO of dFakto) and Marc De Burlet (Product Owner of dFakto's beVault) present Session 1:
Data Vault Powering the AI Semantic Layer

While 95% of AI initiatives fail due to scattered data, uncertain quality, and missing business context, Data Vault provides the architectural foundation to overcome these challenges.
This session explores the bidirectional synergy between AI and Data Vault through three complementary forces:

• AI agents accelerating implementation
• Data Vault as an AI-ready foundation with unified endpoints and quality assurance
• AI outputs integrated as governed data assets

Through destinAItor (see www.destinaitor.com) ; a real-world AI platform built on a Data Vault implemented with beVault; we'll demonstrate how this architecture transforms modern data teams from AI failure to sustainable success. Discover how beVault's automation capabilities combined with Data Vault methodology create the focused foundation where AI agents excel, enabling organizations to shift from executing to reviewing and from disposable insights to valuable AI data assets, fully coherent with their other BI and data governance assets.

Brian Mull presents Session 2:
Meta Vault to Meta Marts: Operationalizing Metadata for the Next Era of Data Vault
Agents have arrived as powerful collaborators in data engineering and architecture—when they’re grounded in the right context. Bryan Mull, from datastack.cloud, will explore how a well-designed Meta Vault can provide that context through “meta marts,” enabling Data Vault practitioners to apply rich metadata, patterns, and business meaning supporting specialized agents and purposeful evolution of a Data Vault.