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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[New booklet] How IIoT and AI Are Driving Smarter Operational Investments
· Artificial Intelligence

[New booklet] How IIoT and AI Are Driving Smarter Operational Investments

In today’s rapidly evolving industrial landscape, staying competitive means being smart with your operations — and smarter with your investments. Leading organizations are turning to the Industrial Internet of Things (IIoT) and Artificial Intelligence (AI) to optimize processes, cut costs, and boost ROI.This new digital booklet, “How IIoT and AI Are Driving Smarter Operational Investments,” explores how companies across manufacturing, logistics, […]

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The Business Case for IIoT in Manufacturing: Proving ROI with Real-Time Data
· Discrete Manufacturing

The Business Case for IIoT in Manufacturing: Proving ROI with Real-Time Data

The Industrial Internet of Things (IIoT) is transforming modern manufacturing by enabling connected, data-driven processes that improve efficiency, reduce downtime, and enhance decision-making. Manufacturers increasingly rely on IIoT to optimize production, but proving its return on investment (ROI) remains a significant challenge. Due to the complexities of implementation and measurement, many organizations struggle to quantify […]

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Are data historians holding us back?
· Connected Industry

Are data historians holding us back?

The role of the data historian has changed a lot since the 1980s, and it’s time to rethink how it serves us. Industry 4.0 demands better integration between OT and IT systems, allowing teams to centralize data and extract real-time insights across the entire enterprise. But your average data historian is a roadblock. Monolithic, end-to-end […]

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From Reactive to Predictive: How IIoT Is Transforming Maintenance Strategies
· Predictive Maintenance

From Reactive to Predictive: How IIoT Is Transforming Maintenance Strategies

Industrial maintenance…a headache? Yes. Thief of time? Absolutely. Reputation killer? It has its moments! These are the results of relying on a reactive approach to industrial maintenance. Reacting when equipment failures occur repeatedly without warning leads to operational downtime, production delays, and unplanned expenses that come directly out of a company’s profit margins.It’s been a […]

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Challenges & Solutions for the Aveva Licensing Model
· Process Manufacturing

Challenges & Solutions for the Aveva Licensing Model

Licensing is a big part of using Aveva’s industrial software. But, like many powerful systems, it can be confusing and expensive. In this post, we’ll discuss the challenges of Aveva’s licensing model and why it can be tough for users. We’ll start by discussing common issues, such as the expense and complexity. Next, we’ll present InfluxDB, […]

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Data Retention for Long-Term IIoT Monitoring Using Time Series Databases
· Predictive Maintenance

Data Retention for Long-Term IIoT Monitoring Using Time Series Databases

Traditional industries have evolved by implementing many Industrial IoT practices, where we can get data from mechanical devices and sensors. Such real-time data monitoring helps perform better analysis, predict equipment failure, and reduce operating costs. However, IIoT creates enormous volumes of data that must be retained and controlled over long periods. Managing large volumes of […]

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Predictive Maintenance in IIoT: Leveraging Time Series Data for Equipment Longevity
· Connected Industry

Predictive Maintenance in IIoT: Leveraging Time Series Data for Equipment Longevity

The industrial Internet of Things (IIoT) helps bind machines, sensors, and systems together. They form a network of intelligent devices working together to generate and share data. This approach to managing devices has revolutionized how industries manage, monitor, and maintain their equipment. This connected network provides visibility into equipment performance, process throughput, and overall productivity. Predictive […]

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Modernizing Data Historians for Smarter Industrial Operations
· Analytics

Modernizing Data Historians for Smarter Industrial Operations

A new technical paper is now available, offering critical insights for industries seeking to modernize their data historians and improve overall operational efficiency. This paper explores the evolving role of data historians in the era of Industry 4.0 and how the adoption of modern, cloud-native solutions like InfluxDB can help overcome the limitations of legacy […]

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Managing Highly Contextualized Data for IIoT
· Predictive Maintenance

Managing Highly Contextualized Data for IIoT

Have you ever wondered how industries using smart devices handle tons of unique data loading on their server? High cardinality data allows for detailed tracking and monitoring of each sensor, machine, and device in real-time. Finding patterns and irregularities in this data type is necessary for interpreting large-scale, complex industrial processes. Each sensor has its own […]

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Time Series Data as the Backbone of Smart Grid IIoT Solutions
· Renewable Energy

Time Series Data as the Backbone of Smart Grid IIoT Solutions

The smart grid transformed modern energy management by integrating digital technology into traditional power grids. It enhances real-time monitoring, control, and optimizes energy distribution and consumption. This change is crucial for meeting the growing need for reliable, sustainable, and efficient energy systems.Data is essential for this to work. Readings from sensors, devices, and machine controls […]

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The Role of Time Series Databases in Industrial Process Optimization
· Connected Industry

The Role of Time Series Databases in Industrial Process Optimization

Industrial process optimization is now a cornerstone of operational success across manufacturing, energy, and various other industrial sectors. In today’s data-driven world, the efficiency, quality, and sustainability of industrial operations depend heavily on real-time insights derived from vast amounts of data. Whether optimizing energy usage, managing production lines, or reducing operational costs, the role of […]

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