The Smart Manufacturing and IIoT Division (also known as SMIIoT) is the newest and fastest growing division of ISA aimed at helping our members grow professionally and technically. The primary goals of SMIIoT are to provide clarity around these ever-evolving spaces, develop useful technical content, develop standardized approaches to solve critical problems, and provide a forum for networking and collaboration. ISA's understanding and focus of Smart ManufacturingIndustry 4.0 and Industrial Internet of Things (IIoT) will continually evolve to adapt to the high level of activity and interest throughout the worldwide community, constant developments of new technologies, new applications, and new concepts from most of the major hardware manufacturers, solution providers, businesses, research institutions, and even governmental agencies.

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Latest Discussions List

  • Hi Jose Miguel, Welcome to ISA. Please feel free to contact isa@isa-spain.org if you need any help from your local section. Regards, Francisco Diaz-Andreu

  • Hi Jose Miguel, Welcome to ISA. Please feel free to contact isa@isa-spain.org if you need any help from your local section. Regards, Francisco Diaz-Andreu

  • I am Jose Miguel Perez from Spain and I am happy to be part of this incredible community. I am currently working as a Smart Software Knowledge Manager, where there are several technologies in which I am certified as an IEC62443 Expert, WinCC OA Security and Engineer and Mendix ...

  • Thanks Bruce. Agree the problem is that ML/statistical does not understand cause & effect (C&E). And it doesn't have to be a feedback loop. I recall there are 3 "junctions" that cause confusion. I recommend "The Book of Why": https://www.amazon.sg/Book-Why-Science-Cause-Effect/dp/1541698967/ ...

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  • Hi @Jonas Berge , I agree that ML / statistical approaches often appear to be poorly applied. One issue which doesn't get nearly enough attention is the fact that chemical plants have many feedback loops, and these statistical approaches aren't very good at separating cause ...

    1 person likes this.

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