Insights

Gen AI projects reveal inadequacy of inherited frameworks. Learn why 95% of GenAI pilots fail not from technical risks, but from unvalidated assumptions about adoption, workflow fit, and business value—and how to navigate uncertainty rather than just manage risk.

Both F1 racing and modern data platforms rely on telemetry to prevent disasters. The difference? F1 cars cost £15 million and get 300 sensors. Your data estate? Worth billions, gets a quarterly audit.

I challenged Claude Sonnet 4.5 to destroy our Data & Information Observability framework. What followed was one of the most intellectually challenging conversations about whether we're selling genuine innovation or just repackaging old ideas with new terminology.

It's encouraging to see open standards taking a prominent place at Big Data London. At BearingNode, we're invested in communities like OpenLineage and are thrilled to see the industry embracing open source solutions for next-generation data, analytics, and AI architecture.

Join BearingNode at Big Data London 2025 as we highlight essential sessions on real-world data observability implementations, from Iceberg deployments to enterprise-scale solutions at Dun & Bradstreet and Arch Capital.

AI productivity gains stall when organisations rush transformation without first maturing data discovery & classification foundations.

The EDM Council's DataVision EMEA 2025 revealed three fundamental shifts reshaping data governance in the AI era: the move from governance by policy to governance by evidence, the evolution of standards frameworks, and the challenges of federated data management at scale.

BearingNode is proud to introduce our Data and Information Observability (D/I O11y) framework.