Christian Dahlen’s Post

Progress towards a software defined factory has been very slow. It is not for the lack of technology, or for the lack of data. The bigger issue is that the scope of many of today's shop floor IT organizations is limited to ensuring system uptime, basic maintenance on automation controls, and handling any disruptions with manufacturing equipment. Integration with Business Systems is limited to ERP connectivity for inventory and production reporting. It is not that CEOs and CIOs are unaware of this situation. But they often not grasp the magnitude of the problem and therefore do not assign a budget. To move beyond the status quo requires adopting new concepts and planting a story in people's brains with a new point of view. Stakeholders are puzzled because they haven't thought about it. In fact, there may not be any easily identifiable owners and the ultimate act of category creation requires new roles. And this is why category creation is hard, but necessary to succeed in the future of industrial automation. https://lnkd.in/gDQD2Hxa

Why Every Startup Must Strive To Become a Category Leader

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Wayne Pau

Development Architect at SAP

1mo

Christian Dahlen - >  or for the lack of data. I do have one insight from my past experiences here. I had some "hands-on" with some factories actually trying to adopt #IoT and unfortunately until someone has a ACTUALLY used or vetted your "data", collecting it may not be enough. Too many times I've seen a factory believe they have some specific data and only when that data is used to train a model or evaluate a solution it SIGNIFICANTLY missed expectations. What they thought they had and what they actually had was totally different. Tagging Jeffrey Dungen and see if he had any of the same experiences with reelyActive.

Philipp Wehn

Germany's Top40under40 // NVIDIA Inception Program // Shaping a new era of automation with Full Self Computing AI

1mo

love it! keep it coming

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