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 development of low-orbit satellites has attracted attention from all walks of life in recent years under the development of resources injected by international science and technology companies. Large-scale satellite galaxies, unlike past satellite communication systems, can provide broadband transmission and global connectivity services.

Breakthroughs in deep learning in recent years have come from the development of Convolutional Neural Networks (CNNs or ConvNets). It is the main force in the development of the deep neural network field, and it can even be more accurate than humans in image recognition.

Deep learning is a way of machine learning, by building a network, setting goals, and learning. Deep learning is not a panacea for artificial intelligence, it can only be designed for specific needs.

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.

The innovative development of technology and storage in 2023, including multi-cloud, will tend to be localized in 2023, cloud service providers will face more transparency requirements, heat-assisted magnetic recording (HAMR) technology will become more popular, etc.

Remote access and cloud computing access have become the new normal of global business after the epidemic. Enterprises are faced with many problems such as hybrid cloud configuration, diversified network access, key data security protection, and network access management.