Data Historian
How AI Helps Engineers Move from OEE Monitoring to Root-Cause Analysis
A low OEE number by itself is not very useful. What matters is whether the loss is coming from uptime, speed, or quality, and whether the team can isolate the cause quickly enough to act.
Jim Fan
March 29, 2026 | Data Historian, Industrial Data
Asset-Centric Modeling: The Foundation of Industrial Data Context
To fully understand industrial operations, data models must move beyond structure and begin to represent behavior.
Jeff Tao
March 24, 2026 | AI-Native Industrial Data Foundation, Data Historian
Seeing Throughput, Blend Quality, and Margin Together in Refinery Operations
Refinery performance does not live in one screen. Throughput, blend quality, and site economics move together, and operations teams need a way to see them together if they want to respond earlier and operate more consistently.
Jim Fan
March 19, 2026 | Data Historian
From Data Archive to TSDB: Why the Industrial Data Foundation Must Be Rebuilt
For decades, the Data Archive has been the core component of industrial data historians. However, when viewed through the lens of industrial internet, IoT, and AI, the assumptions behind Data Archive no longer hold.
Jeff Tao
March 19, 2026 | AI-Native Industrial Data Foundation, Data Historian
