Utrecht, Netherlands, 22 April, 2026

AI-Ready Data Foundations

Build the data foundation your AI initiatives actually require.

A practical session focused on the upstream data conditions AI depends on: trusted data, consistent business context, governed pipelines, and automation across the full data lifecycle.

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Why attend?

Most organizations do not fail at AI because of algorithms. They fail because the data foundation cannot support repeatable, trusted outcomes. This workshop creates alignment and momentum by addressing that foundation first, before more time and budget is spent downstream.

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Define what AI-ready data requires, and how to recognize gaps in trust, context, governance, and automation.

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Identify the failure patterns that derail AI initiatives, and the upstream fixes that prevent rework later.

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Map your end-to-end data lifecycle for AI, including where trust breaks and how metadata helps you scale it.

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Complete a current-state assessment, align on a practical target state, and agree the next steps to get there.

Who it’s for

Designed for data, analytics, and IT leaders responsible for enabling AI across the organization.

Relevant for data and analytics leaders, data engineers and architects, BI and analytics teams, plus IT and security stakeholders accountable for governance and compliance. Best fit for organizations with modern tooling that still struggle with trust, complexity, or scale.
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Why TimeXtender

Throughout the workshop, we’ll show how the TimeXtender Data Platform supports an AI-ready data foundation through a unified approach across Data Integration, Data Enrichment, Data Quality, and Orchestration.

The emphasis is metadata-driven, automation-first workflows that embed trust and governance into day-to-day data work, without locking you into a specific cloud or technology choice.

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22 April in Utrecht

Submit the form and we’ll confirm attendance and share the practical details.
 

Racesquare Circuit Utrecht

22 April, 2026

Hertogswetering 171a, 3543 AS Utrecht, Netherlands