The mobile system ensures connectivity and the data exchange, for example, with a mobile app as a component. An embedded system implements the required functionality and logic in the device, turning it into an intelligent device. The device is on the lower level, regardless of whether it is a coffee machine or a system in a factory. They connect networked devices, manage applications, process data, deliver reports and contain advanced analytics functionalities such as cluster analysis and machine learning.įigure 1: An intelligent ecosystem From a technical point of view, an intelligent ecosystem is a combination of an embedded system, a mobile system, and an information system. The basis for this is cloud computing, dynamic platforms, and intelligent algorithms. Networking via smart ecosystems As smart ecosystems evolve, consumer devices will have to ship with the right networking and automation functions, based on smart ecosystems. Devices have been and are constantly getting smarter, and are being transformed from a pure watch to a fitness tracker, and from there, to a personal, networked health consultant.
INTEL SMART CONNECT TECHNOLOGY KEEP DATA FRESH OFF SOFTWARE
This trend is also evident in pulse watches the hardware has changed over the years slightly, but by no means to the same extent as the software with its ongoing updates and ecosystems. Take the example of household appliances such as washing machines or coffee makers: the innovation and added value now reside in the software and the intelligence. In the case of IoT projects, the gap between hardware and software development needs to be closed, and this is achieved with DevOps, among other things. This is because development cycles have shortened significantly, and faster deployments of smaller releases and apps are the current agenda. Here, both areas (Hardware and Software) need to move towards one another with the following learning objective: in the future, ‘digital and software’ are driving traditional business. Meanwhile, machine builders need to understand that planned software cannot be pre-designed on paper. Software developers are faced with the challenge of using limited hardware resources. But this may be easier said than done: Today, in mechanical engineering, for example, we often see friction when modern agile software development encounters good hardware manufacturers, there are usually points of friction.
That will mean machine builders and software developers will need to cooperate closely - and that favors an agile approach. Software: the queen of the Internet of Things Given the current trajectory, it’s not hard to see a future where software defines the performance of machines and factories. According to a study by analyst group IDG, IoT investment is primarily directed to projects in cloud services, security, and data security, followed by IoT hardware such as sensors, actuators or gateways.Īccording to the study, most IoT projects are currently looking at automation and data exchange in manufacturing technologies, followed by smart, connected products and predictive maintenance programs.
The greatest need today: Industry 4.0 But despite the challenges that companies face when it comes to IoT, many have ambitious plans for 2018/19. When they fail, it’s because of the existing corporate culture, lack of flexibility, silo structures, incorrect procedures and lack of know-how. When it comes to the implementation of data-driven business and service models for IoT, innovative approaches, cultural change, and a motivated team are needed, because IoT projects rarely fail due to technology or the budget. In such instances, it’s worth remembering the Internet of Things is not the goal in itself: it’s a means of creating new business models and applications that will deliver high value for customers and employees alike.Īs Antoine de Saint-Exupery wrote in his book The Wisdom of the Sands: “If you want to build a ship, don't drum up men to collect wood and assign them tasks and work, but rather, teach them to long for the wide-open sea.” But many companies discover that getting projects up and running is hard work. There’s no shortage of hype when it comes to the Internet of Things.
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