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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.

Smart factories combine digitization and artificial intelligence (AI), edge computing, drones, machine learning and other technologies to have ultra-high elasticity and adapt to changing production needs. 5G Ultra-Reliable Low Latency Communication (URLLC) and edge computing using intent-driven orchestration are expected to enable 5G network-based manufacturing automation to realize smart factory concepts.

Wafer-level packaging (WLP) has gained traction over the past decade as the semiconductor industry continues to push for generations of higher-performance chips. Back-end packaging technologies are becoming increasingly important in meeting the demands of low-latency, high-bandwidth, and low-cost semiconductor devices.

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.

Let’s explore the different types of Edge Computing and their amazing applications in a real-world scenario. Edge computing is a type of data processing in which data is distributed throughout decentralized data centers, while some information is maintained locally, at the “edge.” There’s no need to ask a remote data center for approval. Data can be deployed offline by local devices using less bandwidth usage. Is this a way to move forward when we have the benefits of Cloud Computing? Will Edge Computing be able to make a mark in the industry?

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.

Edge computing technology is an extension of cloud computing. It can improve the analysis technology of cloud data. It is a concept of nearby computing. Its technology is gradually applied to various industries so that each industry can break through the existing restrictions and increase its productivity and efficiency.

What is the development and application prospect of edge computing? When cloud computing is not enough to process and analyze data generated or to be generated by IoT devices, connected cars and other digital platforms in real time, edge computing will come in handy. Edge computing technology has the potential to be applied in many industries and plays a huge role.

Edge computing is a distributed computing architecture that moves applications, data, and services from the central node of the network to the logical edge nodes of the network for processing. Edge computing decomposes large-scale services that were originally processed by the central node into smaller and more manageable parts, and is distributed to the edge nodes for processing.