Case Studies
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6 case studies
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A repeatable model for industrial data intelligence
A repeatable model for industrial data intelligence
Exara’s oil and gas client required a reliable way to gather, store, and process data from sophisticated machine assets in remote oil field sites. These harsh, real world environments present significant challenges for high performance computing devices.
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Electric Imp Launches Cellular IoT Connection Support
Electric Imp Launches Cellular IoT Connection Support
Without continuous connectivity, real-time data is really hard to deliver for any cloud service provider. The number of IoT devices with cellular connections will nearly quadruple over the next five years with increasing LTE subscriptions and access to 5G networks, according to Ericsson’s bi-annual Mobility Report. At the same time, ensuring reliable connectivity, while being mindful of security and device management as IoT implementations scale, continues to be a challenge for industrial IoT use cases.
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IIC - Edge Intelligence Testbed
IIC - Edge Intelligence Testbed
A test environment is needed for algorithms and architectures that meets a common set of requirements for many testbeds (see "Testbed in Depth")GOAL:A test facility that can be configured into complex edge compute environments, in order to further the state-of-the-art in edge analytics and algorithms
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Phicomm Improves Customer Satisfaction Using Edge Service Management
Phicomm Improves Customer Satisfaction Using Edge Service Management
Following rapid growth since its launch in 2008, Phicomm required a standardized approach to service management to replace the previous manual processes and enable IT service delivery to be more productive and efficient.
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Endian 4i and Switchboard for Instrumentation Laboratory
Endian 4i and Switchboard for Instrumentation Laboratory
Connect diagnostic equipment located in hospitals and laboratories to insecure LAN segments for remote monitoring and predictive maintenance.
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DevOps in the Age of Connected Devices
This white paper will discuss that most of the ingredients of DevOps that have made it so successful in the IT industry — viz. better visibility, outcome-driven decision-making, real time deployment and better bug fixing, can be further extended to the world of connected devices and cloud-based apps.
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