ABC faced two major issues when utilizing the data collected. One is the size, complexity, and disparity of the data collected would take lot of man-hours to process and evaluate. Two is real-time data cannot be put into use due to the nature of data science analysis.

Previously to working with ThingWorx, DeviceLynk built an IIoT platform but found it lacked scalability. They needed something to capture and handle data from an unlimited amount of devices and customers.

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.

Taking advantage of the fast growth of China and the growing demands in embedded computer systems, Vantron technology was established in 2002 by Silicon Valley professionals and headquartered in Chengdu, China. In addition to readyto-run low-power embedded systems, Vantron also provides assistance in application software development, tailoring its embedded systems based on customers’ requirements, and offering turn-key manufacturing services. With customers in industries such as healthcare, heavy equipment, vehicle tracking and telematics, looking for customized solutions, Vantron saw more and more customers looking for interconnectivity through the cloud so that they could access and interact with their equipment remotely

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.