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Alex Lai, Julien Redmond & Neil Strange

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.

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Data Vault for AI

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Semantic Data Modeling

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Explainable, Trusted AI

Introducing the Presenter

Alex Lai, Julien Redmond & Neil Strange

Experts in Data Vault, data modelling and modern data platforms

Julien Redmond, Alex Lai and Neil Strange bring together deep expertise in Data Vault, modern data platforms and enterprise data modelling. Julien Redmond, founder of IRiS, has spent decades helping organisations design, teach and implement Data Vault architectures with a focus on governance, auditability and adaptability, and more recently on applying Data Vault principles within modern Lakehouse environments. Alex Lai, Product Manager for IRiS and a Data Vault 2.0 Certified Professional, has over a decade of experience designing and delivering modern data platforms, specialising in Azure, Databricks, Snowflake and Data Vault methodologies. Neil Strange, Chairman of the Data Vault User Group, is a seasoned data modelling expert with decades of experience and a passion for helping organisations strengthen their data practices and adapt to agile ways of working.

IRiS








AutomateDV








Data Vault for AI: Building Trusted and Explainable AI Solutions

Artificial Intelligence is only as reliable as the data behind it. Discover how Data Vault provides the governance, semantic modelling and traceability needed to build trusted and explainable AI solutions.

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