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After "Cloud Computing", a new term "Fog Computing" has been added in recent years. It mainly comes from the phrase "fog is a cloud closer to the ground".

In the new normal of future changes, whether it is the ICT industry, the supply chain, or even the industrial ecosystem, it is necessary to think about how to improve resilience to respond to environmental changes from a mid-to-long-term perspective. It will be important to improve the resilience of the supply chain from procurement to production. The key to future competitiveness.

To enhance competitiveness, manufacturers are driving a shift from a reactive problem-solving model to a more proactive device, process, product, and plant management model.

Utilize industrial augmented reality technology and virtual reality to further improve employee productivity, efficiency, and customer satisfaction through real-time step-by-step work instructions.

Edge Computing is a distributed network architecture that allows data to be processed and analyzed closer to its source, moving resources such as computing, storage, and network bandwidth as close to users (or endpoints) as possible. Industrial Internet of Things (IIoT), artificial intelligence, big data analysis to 5G networks, edge computing can be said to be the expansion and extension of IT environments and computing technologies that seek common ground in differences.

IoT is the current mainstream trend in technology. In this way, we will discuss the industrial changes and market opportunities of the digital revolution, and will further analyze the technology and application fields of IoT.

The Smart Machinery Cloud Platform intends to standardize terminal software and hardware, application tools, and operation platforms to assist enterprises in their digital transformation.

The development of new technologies has brought the whole world into the era of the Internet of Things. This new era has more advancements in the area of intelligent design than the information age, and smart sensors have played an indispensable role in its development.

With the rapid development of emerging industries such as the Internet of Things and mobile Internet, smart sensors are becoming more popular. Smart sensors are composed of sensing elements and signal conditioning circuit controllers that have data acquisition, conversion, analysis, and even decision-making functions. Intelligence can improve the accuracy of the sensor, reduce power consumption and volume, and achieve easier networking, thereby expanding the application range of the sensor and making its development more rapid and effective.

Industry 4.0 has become an increasingly important topic of concern. Within Industry 4.0, the Internet of Things (IoT) plays an important core role in connecting the entire system, and has developed a wide range of applications. Many people may think that the IoT is far away and does not concern them, but in fact, there are many applications of the IoT in use in everyday life which most people may not realize. This article will share what the IoT is and its application in life.

Technology supports and drives innovation. Technological advancements allow manufacturers to create higher quality goods, increase production speeds, lower expenses, and realize more efficient operations to become more competitive.

Edge computing will grow in importance as manufacturers see the development of the Industrial Internet of Things (IIoT). The interconnected factory, designed for manufacturing automation, will become an essential corporate goal.

Amazon Web Services, Microsoft Azure, and Google Cloud account for 80% of the global cloud market. Which one is right for your operations?

Industrial Internet of Things (Indusrial IoT, or IIoT) is the expansion and use of the Internet of Things (IoT) in industrial applications. Industrial IoT focuses on machine-to-machine (M2M) communication, big data, and machine learning (ML) to make industrial operations more efficient and reliable. IIoT covers the entire industrial application, including robotics, medical equipment, and software-defined production processes.