Plants often operate with measurement gaps that limit visibility into critical processes and assets. Organizations cannot improve what they do not measure, making accurate and accessible process data a foundational requirement for operational improvement.
reliability
Driving Sustainable Life Sciences Operations with Automation
TL;DR Sustainability initiatives require efficient use of limited resources. Automation enables measurable improvements in energy use and emissions. Monitoring WAGES systems is key to identifying waste. Modern control and reliability tools reduce inefficiencies and...
SaaS Is Changing the Dynamics of Predictive Maintenance
Why this matters now A strong reliability program has long been tied directly to improved production, safety, and operational performance. Today’s sensing technologies deliver unprecedented visibility into asset health, enabling teams to keep critical equipment...
Improving Mining Reliability with Wireless Monitoring and Edge AI
Why this matters now Mining has always been a challenging industry. Mine sites are inherently dirty operations and are often situated in very remote locations. As critical minerals become increasingly scarce, those conditions are exacerbated, as mining operations are...
Modern Reliability Requires a Unified Data Fabric
Why this matters now Modern manufacturing organizations have invested heavily in sensing technologies and reliability software to improve visibility into plant operations. While these tools have delivered value, they have also introduced new challenges when deployed...
Building an OT-Friendly Path to Advanced AI
Typically, when we think of artificial intelligence (AI) tools, we think of software residing in the cloud. After all, AI models require massive compute power, and as they grow, that power needs to scale rapidly. Such support is a perfect fit for cloud computing....
Bridging the Skills Cliff with Next-Gen Maintenance Technology
The global experienced workforce shortage in process manufacturing comes as no surprise to anyone. Industry has been predicting an expertise cliff for years if not decades, and it’s finally here. But what people didn’t anticipate quite as clearly was the parallel...
Reliability Without the Reliance on Tribal Knowledge
Driving the reliability necessary to compete in the modern process manufacturing marketplace is more challenging than ever. Once upon a time, reliability teams could rely on expert personnel to regularly walk the plant and keep an eye and ear out for where machines...
Eliminating Hidden Losses Through Real-Time Plant Intelligence
Maximizing productivity and reducing waste is a never-ending challenge. Though manufacturers have been taking steps to accomplish these goals for decades, the intensity has risen in recent years as competition from global competitors has dramatically increased. There...
Building the Data Backbone for Industrial AI
To say we don’t know exactly what the future holds as AI continues to grow and evolve on a daily basis is, quite frankly, an understatement. AI is positioned to upend nearly everything we do, and process manufacturing is no exception. Yet, while it seems like there is...
The Industrial Edge Is the New Automation Frontier
The industrial edge is changing. For years—maybe decades—the industrial edge has been defined as the site where operations happen. The hardware and computing systems closest to assets are critical, but they are not everything the edge can be. As Claudio Fayad explains...
Smarter Plants Start with Everyday AI
As more and more generative AI (GenAI) engines seem to emerge every day, it is easy to forget that GenAI isn’t the only artificial intelligence people and companies are using to drive efficiency and reliability. It’s true that GenAI is opening up new vistas of...
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