TL;DR AI-powered reliability programs are only as effective as the data and context that support them. Wireless vibration monitoring helps teams detect issues early and prioritize corrective action. Context-rich asset monitoring improves fault diagnosis and enables...
TL;DR Mining operations generate vast amounts of asset data, but data quality and context remain major challenges. Industrial AI delivers the greatest value when supported by integrated, structured, and governed data. Modern predictive maintenance solutions combine...
TL;DR Continuous vibration monitoring identifies failures earlier than many traditional methods. Workforce shortages are accelerating adoption of permanent monitoring solutions. Criticality assessments help teams prioritize the right assets first. Industrial AI...
TL;DR Traditional route-based maintenance is becoming harder to sustain due to workforce shortages. Predictive maintenance requires actionable workflows, not just more data. Machinery health software helps turn condition data into operational decisions. Industrial AI...
TL;DR Industrial organizations have more data than ever, but much of it remains siloed. AI requires contextualized, accessible data to deliver meaningful value. Edge architectures provide low-latency access to high-fidelity operational data. Local LLMs improve...
In a recent LinkedIn article, Emerson’s Gertjan van der Ven, Vice President of Global Project Pursuit, argues that while boardrooms stay fixated on foundational models and enterprise chatbots, Artificial Intelligence (AI) is already doing the harder work on the plant...
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...
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...
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...
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...
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...
There exists an interesting tension in the life sciences industry; while people have access to more treatments for more maladies than at any other time in human history, there is also increasing pressure to deliver new, innovative treatments. For evidence, simply look...
We invite you to follow us on Facebook, LinkedIn, Twitter and YouTube to stay up to date on the latest news, events and innovations that will help you face and solve your toughest challenges.
Just post a link to the entry and send us a quick note so we can share your work. Thank you very much.
Our Global Community
Emerson Exchange 365
This blog features expert perspectives from Emerson's automation professionals on industry trends, technologies, and best practices. The information shared here is intended to inform and educate our global community of users and partners.