While the idea of adding costs to a food and beverage or pharmaceutical industry process like Clean-in-Place/Steam-in-Place (CIP/SIP) has not traditionally been an easy decision, in today’s industrial environment that has changed. With the retirement of experts, the...
Manish Sharma’s Machine Design article, “Giving Semiconductor Foundries a Needed Edge” describes how the application of specific edge technologies support integrated and efficient foundry operation through the use of coordinated visualization, automation, IIoT, and analytical software.
To overcome the risks and minimize overall cost, end users, OEMs and the SIs supporting them should consider the benefits of using comprehensive platforms offered by a solution provider with a complete and coordinated portfolio of industrial-specific hardware and software.
In a recent white paper on liberating stranded data, we discuss how data gets stranded and some of the new architectures that are changing this predicament by combining flexible and capable edge computing with a cloud computing model, making it not only feasible, but practical to analyze this data, gain new insights and make the results available to stakeholders.
Despite the number of sensors collecting information in virtually every industrial plant, there are still many instances of “trapped data” – information that is being gathered, but not used to inform operators and decision-makers.
Jim Cahill recently connected with Emerson’s Thishen Naidoo, a heavy industries marketing leader for the machine automation solutions portfolio. Here is their interview of his interesting and problem-solving take on the current state of mining.
We invite you to follow us on Facebook, LinkedIn, Twitter and YouTube to keep up to date on all the latest news, events and innovations to help you take on and solve your toughest challenges.
Please do, Just link back to the post and send us a quick note so we can share your work. Thanks!
Our Global Community
The opinions expressed here are the personal opinions of the authors. Content published here is not read or approved by Emerson before it is posted and does not necessarily represent the views and opinions of Emerson.