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...
Why this matters now Artificial intelligence is evolving at a rapid pace, transforming how organizations across industries access and leverage data. However, in operational technology (OT) environments, this evolution must be carefully managed to maintain safety,...
Why this matters now Retirements, skill gaps, sustainability mandates, and global competition are reshaping modern manufacturing. While many of these challenges were anticipated years ago, early digital transformation efforts often left teams with more data—but not...
Why this matters now We all know data is king. The entire purpose of the digital transformation initiatives of the last decade or two were laser focused on getting critical data out of the field and into the hands of personnel and systems that could make use of it....
Why this matters now The days of automation systems being completely isolated from the outside world are long gone. While some assets may remain air-gapped, most critical OT systems increasingly require connectivity to external systems to remain competitive. The rise...
Why this matters now One of the consequences of a vast improvement in the capability and affordability of sensing devices over the last few years has been a significantly increased risk of overwhelming operational technology (OT) teams with too much data. Data is...
Life sciences may be the ideal industry for the implementation of AI technologies. After all, bringing a treatment all the way through the drug development process is an extremely complicated undertaking, with tremendous amounts of data and a wide array of...
Why this matters now As explored in his recent article in Control Engineering, Emerson’s Dave Denison—leveraging his decades of experience in the automation industry—explains that OT teams face a unique challenge as AI adoption accelerates. While AI is gaining...
For years, digital transformation seemed to stagnate. Operational technology (OT) teams were implementing new sensing devices and software, and collecting massive amounts of data, but they had trouble turning that data into actionable information. In some cases, that...
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...
Emerson’s Jonas Berge has penned another great LinkedIn article, M+O Sensors: Comprehensive Plant Data Collection. Typically, plant sensors are added for measurement and control (M+C), but it’s also essential to add sensors for monitoring and optimization (M+O).
It feels today as if the whole world is consumed by a focus on AI. In media, in industry, and even in our day-to-day lives, AI tools have come front and center at an almost unheard-of pace. In industrial manufacturing, the rise of AI is incredibly apparent. While it...
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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.