Data Historian
How a Factory Built an Industrial-Grade App on TDengine Historian in Three Days
A chemical plant engineer without a formal software development background used an AI Agent and the TDengine Historian SDK to build and deploy an industrial-grade
Arun Arulraj
July 10, 2026 | AI-Native Industrial Data Foundation, Data Historian
Built-In AI in the TDengine Historian: From Question to Root Cause
From a Single Question to a Root Cause Investigation For years, industrial AI has been associated with large projects. Build an AI agent. Connect it
Arun Arulraj
July 8, 2026 | AI-Native Industrial Data Foundation, Data Historian
TDengine Historian Excel Add-In: Analyze Industrial Data in Excel
Key takeaways Industrial data analysis in Excel with the TDengine Historian Excel Add-In If you’ve used PI DataLink, you already understand TDengine EAI PI DataLink
Jim Fan
July 7, 2026 | TDengine vs. PI System, Data Historian, Industrial Data
Building Your AI-Native Industrial Data Foundation
The data foundation you build today will determine what is possible tomorrow. It is the one asset that persists, accumulates value, and supports every layer built on top of it.
Jeff Tao
April 12, 2026 | AI-Native Industrial Data Foundation, Data Historian
The Future of Industrial Software: AI Agents on Top of an Industrial Data Foundation
Applications are no longer long-lived assets, but flexible and disposable layers on top of something more fundamental.
Jeff Tao
April 11, 2026 | AI-Native Industrial Data Foundation, Data Historian
Total Cost of Ownership: The Hidden Cost of Industrial Data Systems
The total cost of an industrial data system is not defined by its license or subscription price. It is defined by its complexity, its integration effort, and the people required to make it work.
Jeff Tao
April 10, 2026 | AI-Native Industrial Data Foundation, Data Historian
Why Industrial Data Must Be Open — Without Losing Context
If industrial data platforms are not open, every new AI capability requires custom integration, making it difficult to keep up with the pace of innovation.
Jeff Tao
April 8, 2026 | AI-Native Industrial Data Foundation, Data Historian
AI-Driven Operational Insights: Removing the Barrier Between Data and Understanding
AI-driven operational insights remove the barrier to understanding data by making it possible to generate insights without requiring deep expertise in analytics or domain modeling.
Jeff Tao
April 7, 2026 | AI-Native Industrial Data Foundation, Data Historian
Asset-Centric and Event-Centric Visualization: From Dashboards to Operational Understanding
What industrial users need is a new kind of visualization—one that is asset-centric, event-aware, insight-driven, and tightly integrated with the data foundation.
Jeff Tao
April 2, 2026 | AI-Native Industrial Data Foundation, Data Historian
Advanced Analytics in Industrial Systems: Beyond the Historian
Organizations increasingly expect systems to generate insights—detect anomalies, predict future behavior, identify patterns, explain deviations and analyze the root cause.
Jeff Tao
April 2, 2026 | AI-Native Industrial Data Foundation, Data Historian
