Insights

Our fourth OpenLineage compatibility update. IBM and Feast now play both roles, six vendors join the table, and AI agents raise a question the standard does not yet answer. Fact-checked against primary sources.

An agent can return a plausible answer without leaving enough evidence to show it rests on the right data. What leaders should ask for, what open standards can provide today, and where the evidence stops.

A reference implementation that records which governed data an agent's SQL touched, linking OpenTelemetry spans and OpenLineage runs—with the failure modes, retention costs and standards gaps it exposed.

Approximately 80% of enterprise data — emails, contracts, documents, AI knowledge bases — is invisible to most data management functions. For financial institutions, that is not a technical footnote. It is one of the most significant and least acknowledged risk exposures in modern financial services.

Most organisations' data management tools were built for structured data and cannot simply be extended to cover the 80% of the enterprise estate that is unstructured. This article sets out the strategic framework for closing that gap — and the evidence on why acting now delivers a measurable return.