Articles from DataHub

DataHub, the company behind the most widely deployed open-source metadata and context platform, is pleased to host Context 2026, the company's annual practitioner conference, being held virtually on November 4, 2026. The half-day event brings together enterprise data leaders, AI engineers, and platform architects for technical sessions, customer case studies, and product deep dives focused on making AI agents accurate and trustworthy by grounding them in enterprise business context.

DataHub, the company behind the most widely deployed open-source metadata and context platform, today announced the General Availability of DataHub Cloud Context with new capabilities that turn context management from a one-time setup into a system that continuously proves and improves agent accuracy. Most enterprises don't trust AI agents today because they routinely deliver confident, wrong answers. This is because they lack the business context to know which table is authoritative, what a metric means, or how a calculation changed last quarter. DataHub Cloud Context, now generally available, gives agents the context they need to earn organizational trust over time.

A new global study of 285 data, AI, IT, and business stakeholders finds that organizations with mature context engineering programs are four times more likely to qualify as AI leaders than their peers. The study, "Context Engineering for Agentic AI: Architecture, Use Cases, and Principles for Success," published by BARC (Business Application Research Center) and sponsored by DataHub, is available as a free download here.