Case Studies
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LumenData Delivers Real-time Predictive Analytics through IoT
LumenData Delivers Real-time Predictive Analytics through IoT
In 2013, LumenData found itself in need of adding new real-time predictive analytics capabilities to its suite of services. To meet this need, LumenData acquired a state-of-the-art streaming data, capture and real-time predictive analytics company. This solved the pure predictive analytics end, but left LumenData with a need to be able to build IoT-targeted services.From an IoT perspective, LumenData was still missing the means to create suitable applications and dashboards that would make it easy for its customers to effortlessly make sense of whatever predictive analysis they might require.
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Smart, Connected Applications Maximize Agricultural Business Performance
Smart, Connected Applications Maximize Agricultural Business Performance
OnFarm needed to move quickly to capitalize on a significant "smart agriculture" opportunity to build connected applications and dashboards that captured and monitored sensors in the field and provided actionable data back to their customers. The overall solution OnFarm determined necessary was a set of "dashboard-driven connected services utilizing an IoT backend" that would accomplish several key things: • Easily collect data from incompatible sensors via wireless networks • Provide a means to integrate, analyze, and correlate different data sets of information into easily-understood and easy-to-customize reports leading to specific actionable outcomes • Manage end-user permissions, distribute reports and business intelligence through a customizable Web interface that would include dashboards, allowing custom organization of data applicable to the business employing OnFarm's suite of services
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Leveraging the IoT to Gain a Competitive Edge in International Competition
Leveraging the IoT to Gain a Competitive Edge in International Competition
Many large manufacturers in and outside Japan are competing for larger market share in the same space, expecting a growing demand for projectors in the areas of entertainment, which requires glamor and strong visual performance as well as digital signage that can attract people’s attention. “It is becoming more and more difficult to differentiate ourselves with stand-alone hardware products,” says Kazuyuki Kitagawa, Director of Service & Support at Panasonic AVC Networks. “In order for Panasonic to grow market share and overall business, it is essential for us to develop solutions that deliver significant added value.” Panasonic believes projection failure and quality deterioration should never happen. This is what and has driven them to make their projectors IoT-enabled. More specifically, Panasonic has developed a system that collects data from projectors, visualizes detailed operational statuses, and predicts issues and address them before failure occurs. Their projectors are embedded with a variety of sensors that measure power supply, voltage, video input/ output signals, intake/exhaust air temperatures, cooling fan operations, and light bulb operating time. These sensors have been used to make the projector more intelligent, automatically suspending operation when the temperature rises excessively, and automatically switching light bulbs. Although this was a great first step, Panasonic projectors were still not equipped with any capability to send the data over a network.
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University Duisburg Launches NectOne for IoT Research
University Duisburg Launches NectOne for IoT Research
In order for the IoT to become fully operationalized, system integration of devices and data with existing businesses systems and processes is vital. In reality, many manufacturing companies like NectOne® with individual systems often find it very difficult to build and use intelligent structures between their systems. Many of the data sources as well as connected systems may be external to the business. This systems integration work can be complex and difficult to manage, but is vital to achieving business objectives. The final goal is to deliver cloud base production control.
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