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Solutions Architect's Handbook
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Industrial customers seek to gain insights into their industrial data and achieve outcomes such as lower energy costs, detecting and fixing equipment issues, spotting inefficiencies in manufacturing lines, improving product quality, and improving production output. These customers are looking for visibility into operational technology (OT) data from machines and product life cycles (PLCs) systems for performing Root Cause Analysis (RCA) when a production line or a machine goes down. Furthermore, IoT improves production throughput without compromising product quality by understanding micro-stoppages of machinery in real time.
Data collection and organization across multiple sources, sites, or factories are challenging to build and maintain. Organizations need a consistent representation of all their assets that can be easily shared with users and used to build applications, at a plant, across plants, and at a company level. Data collected and...
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