As the Chief Product Officer, I frequently speak with our customers about their business needs and goals surrounding remote monitoring systems. The conversations I have often begin with a focus on the highest valued assets – the ones on which production hinges, and...
In our industrial Internet of Things (IIoT) data problem series, we’ve arrived at the tricky issue of misidentified data in remote monitoring systems. Misidentified data is high-quality, complete, and on time. However, the identity of the asset it represents in the...
Through our data problem series, we’ve covered several data challenges that industrial companies face when pursuing digital projects. Some struggle with low-quality data, while others are limited by data silos and legacy systems. Many of the specific issues we’ve...
Whether in the office or at manufacturing sites and other production facilities, the health and safety of workers dictate the success of daily operations. In today’s environment, unforeseen health and safety hazards pop up at a moment’s notice. For...
In the industrial space, data silos are everywhere. Many industrial companies today still rely on cumbersome data management systems that render operations data inaccessible to those who need it most. In other words, the data is “siloed”. Siloed data is a...
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