The Cost of Bad Data: Why Time Series Integrity Matters More Than You Think
· Connected Industry

The Cost of Bad Data: Why Time Series Integrity Matters More Than You Think

Every predictive maintenance model, every digital twin simulation, and every real-time dashboard in a modern factory depends on one thing: trustworthy time series data. Yet bad data, whether caused by sensor drift, network gaps, or timestamp misalignment, silently erodes the accuracy of industrial analytics and can cost manufacturers millions in unplanned downtime. This IIoT World […]

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From Historical Data to Real-Time Action: Unlocking Industrial Intelligence
· Predictive Maintenance

From Historical Data to Real-Time Action: Unlocking Industrial Intelligence

Learn how integrating a time series database with your historian helps industrial teams detect issues faster, act in real-time, and build predictive strategies that reduce downtime.Modern industrial systems continuously generate time-stamped data from sensors, PLCs, SCADA systems, and other connected devices. Known as time series data, this information reflects how conditions change over time, tracking […]

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From Data to Insights: Turning Industrial Data into Actionable Intelligence
· Process Manufacturing

From Data to Insights: Turning Industrial Data into Actionable Intelligence

Manufacturing plants generate enormous volumes of data every second, from vibration sensors on rotating equipment to temperature readings in chemical reactors and throughput counters on packaging lines. Yet the vast majority of this data is never analyzed in time to influence decisions on the shop floor. In this article, IIoT World explores the end-to-end journey […]

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How Open Data Standards Power Industrial Process Optimization
· Process Manufacturing

How Open Data Standards Power Industrial Process Optimization

Proprietary data silos remain one of the largest barriers to scaling industrial process optimization across multi-vendor factory environments. Open data standards such as OPC UA, MQTT, and Sparkplug B offer a path forward by establishing common data models and communication protocols that allow equipment from different manufacturers to share information seamlessly. In this article, IIoT […]

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InfluxDB 3: Turning Industrial Data into Real-Time Action with Less Complexity
· Process Manufacturing

InfluxDB 3: Turning Industrial Data into Real-Time Action with Less Complexity

For manufacturers, utilities, and other industrial operators, time series data—information captured over time from machines, sensors, and control systems—is the backbone of modern operations. But as data volumes grow, many organizations are still struggling to keep up: storing the data is easy; using it effectively, in real time, is not.InfluxData’s release of InfluxDB 3 Core and […]

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The Role of Predictive Maintenance in Achieving World-Class OEE with IIoT
· Machine Learning

The Role of Predictive Maintenance in Achieving World-Class OEE with IIoT

OEE (overall equipment effectiveness) is a productivity and performance metric that helps find new inefficiencies and unlock the full potential of manufacturing. OEE helps manufacturers understand how well a machine, a manufacturing process, or a line is running, as well as its yield and efficiency. By improving OEE scores, organizations can optimize productivity, improve efficiency […]

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