Insights

Only 30% of organisations have reached governance maturity on agentic AI. The gap isn't ambition — it's that traditional observability stops at the tool-call boundary. Here's the structural fix.

How to implement Data & Information Observability at the protocol level — using MCP as the telemetry source, combined with OpenTelemetry and OpenLineage, to turn agent tool-calls into verifiable data lineage traces.

A day across London's data and AI ecosystem revealed the rapid convergence of enterprise data governance and AI engineering—from Collibra's OpenLineage commitment to AWS/NVIDIA RAG evaluation frameworks. These mirror-image problems are solving through shared observability infrastructure.

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.

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.

OpenLineage adoption reveals uneven integration across vendors, highlighting the need to align technical capabilities with enterprise observ

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