• James Baldry
  • 23 February 2026

Financial institutions have invested heavily in data catalogs, metadata tooling, and lineage visualization to make enterprise data easier to find. Yet as Generative AI reshapes decision-making, access alone is no longer enough. The real challenge is turning data into trusted, actionable understanding.

The modern data platform is evolving into an answer engine that interprets, contextualizes, and synthesizes information to support AI-driven decisions. Delivering on this evolution requires strong data architecture, consistent modeling, and end-to-end governance.

This article explores what the move from search to understanding means in practice and how firms can design data platforms built for safe, scalable AI adoption.

Download the full article to learn how to transform your data platform into a true engine for insight.


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