AI-Native Industrial Data Foundation
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 | Data Historian, AI-Native Industrial Data Foundation
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 | Data Historian, AI-Native Industrial Data Foundation
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
Event-Centric + Asset-Centric: The Missing Link in Industrial Data
Assets define what exists. Events define what happens. Only when both are modeled together can we truly understand industrial operations—and only then can AI become genuinely useful.
Jeff Tao
March 30, 2026 | AI-Native Industrial Data Foundation, Data Historian
Why Time-Series Data Alone Is Not Enough: Rethinking Industrial Event Analysis in the Age of AI
To fully realize the value of industrial data, events need to become a native part of the data foundation, not an optional layer.
Jeff Tao
March 26, 2026 | AI-Native Industrial Data Foundation, Data Historian
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
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
From Data Historian to Industrial Data Platform to AI-Native Industrial Data Foundation
Data historians solved one of the hardest problems in industrial computing: reliably storing massive volumes of operational data. But in the AI era, simply storing data is no longer enough.
Jeff Tao
March 18, 2026 | AI-Native Industrial Data Foundation, Data Historian
Asset-Centric Data Modeling Is Even More Important in the AI Era for Industrial Operation
When it comes to industrial operations, there is one concept that remains essential—and often overlooked by modern data platforms: Asset-centric data modeling.
Jeff Tao
March 10, 2026 | AI-Native Industrial Data Foundation, Data Historian
