First of all the Internet-of-Things is about smart assets and the way to use them to transform your business into higher profitability and deliver up-to-date and state-of-the-art customer services around these assets.
Today it is quite normal that machines and devices are filled with sensors. Take a modern car, a heating system or a scanner, all these devices already uses sensor technology to save energy, make diagnostics easier for Field service technicians or to remind user that a maintenance is necessary. In the past all this was normally build into the asset, so a service engineer hat to plugin a diagnostic device to analyze the machine or the device communicated with an internal interface.
Imagine a milk cow with an implant that permanently delivers health care data to the farmers IoT database. Now he can separate sick cows easily and avoid polluting his milk. The same system now optimizes the food-mix and adds medicals, if necessary, for that cow.
Imagine that smart devices are hooked up to the cloud and all included sensors inside the device deliver their data to a smart IT backend that gathers these data and uses them to initiate the right processes. This will enable the devices to be an active part in your future business. Let it be for service delivery or cross-selling or sales of consumables. This would have a big impact into your business, because you might predict a problem or a demand, a customer might have before he even recognized it. All this based on data gathered directly during runtime of the devices.
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Sensor technology today can be used in so many relations like chemical, light, temperature, seismic and many more to analyse. At the same time we are able to transmit data wireless and last but not least we are able to handle big data with an acceptable performance. All this together opens opportunities across all markets and technologies. No matter if you are manufacturing medical systems, having a truck-fleet, running a facility management, planning public infrastructure or acting as a security company. 
IoT starts with organizations hunting for operational efficiency. Subsequently, they begin by connecting devices and capturing data. The cloud means that traditional concerns about “too much data” are much less prevalent and getting started does not require a large amount of investment. Customers will be monitoring the IoT devices themselves and the things they they’re connected to, providing insights and opportunties for digital transformation.
Organizations start to develop some business intelligence around the huge streams of available data. Once they’ve built a data set customers will start to derive insight from this. This moves from experimentation and exploration of data to insight, often using machine learning and other statistical and predictive models.
Customers can then integrate IoT into their broader business and explore new areas in which to deploy IoT solutions. Data and devices in the field unlock new opportunities to partner with other organizations who are also interested in the hardware platforms and data streams or develop new products and services with-in your own organization.
Real-Time – Remote Monitoring
Predictive Maintenance