Why AI Data Architecture Breaks at Scale
An AI model that works at one factory runs on known data, connects to a handful of systems, and depends on one team that controls the scope. Scaling that same model to 20 factories exposes every…
Articles tagged as influxdata
Scaling Time Series for Automotive Manufacturing
A Practical Guide to Historian Augmentation Sponsored by InfluxData Data historians have served automotive manufacturing for decades, capturing signals from PLCs, robots, weld cells, and test stands across body shop, paint, stamping, and final assembly. The…
Why Historians Cannot Feed Physical AI
Physical AI systems that interpret sensor telemetry, predict equipment behavior, and trigger automated responses require two data capabilities that traditional historians were not designed to provide: high-resolution historical datasets for model training and continuous real-time telemetry…
6 Signs Your Data Historian Can’t Keep Up
Historian renewal notices show up as a procurement line item, usually larger than the previous year, and most teams sign and move on. Ryan Nelson, Director of Product Marketing at InfluxData, explains that the renewal moment…
How to Scale AI in Manufacturing
Most manufacturers know they need to start with AI. The common advice, "start small" with a use case, prove value, and scale, is incomplete on its own. Starting small without first thinking big leads to a…
What Makes Industrial AI Trustworthy?
Manufacturing competition used to center on the mechanical speed of production lines and the efficiency of output. The advantage now belongs to organizations that react to data faster, catching a quality drift, a mechanical failure signal,…
From Sensor to Decision: Why Speed Defines Industrial AI
In manufacturing, the window between a small deviation and a costly event can be measured in seconds. A vibration pattern shifts, a batch parameter drifts, a temperature moves outside its normal band. The data exists, but…
How Is Industrial AI Performing in Production?
ABB resolves 80% of measurement device faults through an AI copilot, without a support call. HighByte compressed Alcon's one-year plant-wide digital transformation to less than one month. InfluxData and Litmus take manufacturers from three sites to…
Manufacturers Are Throwing Away the Data AI Needs
Factories generate massive volumes of time series data from every sensor, controller, and production line, but many manufacturers reduce the fidelity of that data or discard it entirely because their existing infrastructure makes retention too expensive…
What Edge AI Needs from Industrial Data
A temperature reading with a timestamp does not tell you whether it is Fahrenheit or centigrade, which factory generated it, which production line, or which asset. Without that context, the data cannot drive a decision. At…
The OT Veto: When Your Plant Floor Has Final Say on Your Digital Strategy
There is an unspoken rule in manufacturing technology that overrides every software license, every boardroom mandate, and every digital transformation roadmap. It is the OT Veto. This isn’t a failure of leadership or vision. It is…
Time Series Database Buying Guide for Energy
The data challenge facing energy operations today Power grids, renewable energy sites, battery storage facilities, substations, and smart meter networks generate millions of time-stamped data points every second. This telemetry from sensors, SCADA systems, and field…