Historically, data was generated from predictable sources, stored in storage systems and accessed for further processing. This data was correlated, filtered and analyzed to derive insights and/or drive well constructed processes. There was little ambiguity in the kinds of data, the sources it would originate from and the routes that it would follow. Internet of Things (IoT) creates many opportunities to extract value from data that result in significant improvements across industries such as Automotive, Industrial Manufacturing, Smart Utilities, Oil and Gas, High Tech and Professional Services, etc.
This demo showcases how the health of remotely deployed machinery can be monitored to illustrate how data coming from devices can be analyzed in real-time, integrated with back-end systems and visualized to initiate action as may be necessary.
Use-case: Remote Service and Maintenance
Critical machinery once deployed on the field, is expected to work with minimal failures, while delivering high performance and reliability. In typical remote monitoring and industrial automation scenarios, although many physical objects from machinery to equipment may already be “smart and connected,” they are typically operated in a standalone fashion and not integrated into existing business processes. IoT adds an interesting dynamic to remote monitoring in industrial automation solutions in that it allows equipment to be monitored, upgraded, maintained and serviced in ways not possible before. Read the complete article here.
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