AI-Native Industrial Data Foundation
From legacy historians to new foundations: rethinking the future of industrial data, insight, and decision-making
March 18, 2026
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.
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March 19, 2026
From Data Archive to TSDB: Why the Industrial Data Foundation Must Be Rebuilt
When viewed through the lens of industrial internet, IoT, and AI, the assumptions behind Data Archive no longer hold.
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March 24, 2026
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.
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March 26, 2026
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.
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March 30, 2026
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.
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April 2, 2026
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.
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April 2, 2026
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.
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April 7, 2026
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.
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April 8, 2026
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.
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April 10, 2026
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.
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April 11, 2026
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.
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April 12, 2026
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.
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