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.

BearingNode Lab is open. This first edition contains no engineering at all, and that is deliberate.

Key insights from EDM Association's DataVision EMEA 2026 conference in London, where practitioners explored building trusted data foundations for AI—from data as capital to agentic risks and the renaissance of BCBS 239.

When an AI agent makes an MCP call to your data warehouse, you are on one of three instrumentation tracks. Track 1 captures nothing. Track 2 captures everything in OpenTelemetry — and still cannot answer the audit question. Track 3 is the one nobody is shipping.

CPS 230: When Operational Risk became everyone's problem: If there is one regulatory development that has fundamentally changed how APRA-regulated entities must think about operational risk, it is Prudential Standard CPS 230. It didn't introduce an entirely new concept, operational resilience has long been an expectation, but it did make the rules explicit, enforceable, and considerably harder to ignore.

For most of human history, data was scarce. Our ancestors were “data foragers,” struggling to gather even a handful of observations to inform critical decisions. A farmer in 1900 relied on almanacs, folklore, and personal experience. Perhaps a few dozen data points, to decide when to plant crops.

Daniel Rolles participated in FIMA 2025 at The Kia Oval in London, sharing insights on the convergence of Data Governance and AI Governance with industry leaders from across Europe's financial services sector.

Key insights from AWS Gen AI Loft London on implementing AI responsibly in financial services, covering everything from foundation models to production scaling strategies.

As AI systems move from experimental projects to business-critical applications, organisations need comprehensive AI observability and governance frameworks that actually work in practice. Join BearingNode at Big Data London 2025.