What are the universities of Huawei? As can be seen from the data, these colleges are national tools

What are the universities of Huawei? As can be seen from the data, these colleges are national tools

The college entrance examination has ended, many parents and candidates have begun to choose universities in accordance with the examination, and prepare for future volunteers. When choosing college, parents should pay more attention to school strength and social recognition, which will have a significant impact on the future employment prospects in children. The author will introduce you to 15 schools in the current signature of Huawei. These universities are rich in profits in the country, and graduates are also recognized by other outstanding companies. Candidates should pay attention.

The above table shows which 15 universities have received the most supported by Huawei. We can see that Xi’an University of Electronic Technology is a school that admits the number of students. Huawei admitted 556 students in this school, which is much more than many 985 universities. This shows the strength of Xi’an University of Electronic Science and Technology. The university has several professional disciplines such as computer science and engineering, electronic science and engineering, intelligent science and engineering, communication technology and information security. These are what Huawei and other Internet communications companies need. Therefore, the employment opportunities of Xi’an University of Electronic Science and Technology graduates are also very extensive and welcomed by large companies.

In addition, the second Zhejiang University and the third Southeast University have also obtained this award. Zhejiang University has maintained rapid development, and all discipline strength is balanced, and the engineering construction is striving for excellence. Zhejiang University has been rated as the fourth good university in China and has won the favor of Huawei and other companies.

Southeast University has developed steadily in recent years and is known for its engineering courses. The main discipline of the university is electrical engineering and technology, civil engineering and electrical engineering and automation. This is why Huawei also likes graduates from Southeast University when choosing people.

What is unexpected is that Tsinghua University and the two Chinese top universities in Peking University are only ranked 13th and 18th in Huawei’s enrollment. This is a bit uneasy. However, in reality, Huawei’s recruitment work is mainly concentrated in recruitment communications and technical professionals. Therefore, many science, technology and engineering universities are in the list. To a certain extent, the lower enrollment rate of Tsinghua and Peking University is also related to their intentions of their graduates. Huawei company is very high for their graduates, and many of them are working hard, often overtime. Therefore, students from famous universities such as Tsinghua University and Peking University, because of more job opportunities, so broad. They tend to choose other intensity and high income.

Huawei recruits the most players in these 15 schools. These schools have made significant contributions to the country’s development, which can be said to be a huge wealth in the country. An excellent company like Huawei also favors graduates, so the elderly applicant can pay attention to them.

Rise of the edge – analysis and calculation at any time, anytime, anywhere

The rise in data importance can be said to be one of the most important side effects of the Internet revolution. Through advertising sales and return on investment, traditional sponsorship and advertising model have been abandoned, and it is replaced by taking a cool number and data that can take action, such as personal data, activity, email address, and phone number.
Even if you do not sell products to a particular audience, the data generated by the daily interaction of the Internet of Things and the server can also produce insights, thereby changing the process of the enterprise.
These data are cultured in these Internet of Things devices, placed on the edge of the network, providing the information they need in the cloud analysis platform. For example, in the manufacturing industry, the machine in the assembly can detect problems or even future issues by reading sensor data to feed back them to the analysis platform for enterprises to take action.
According to the research released in September, in 2026, the value of the global edge computing market will exceed $ 17 billion. This provides huge opportunities for the innovation that the company uses this market growth, and is a bigger opportunity for people who can provide solutions at the edge.
Edge analysis
Obviously you can find a lot of insights on the edge, but feed back this information to the cloud platform and analyze it may be a slow and intensive process.
The insights that can be obtained from the edge information allow real-time reactions, and provide analysis engines, allowing decisions to predict future data, reducing spending, looking for new opportunities or changing business models, and raises several examples.
Therefore, fully forming information before arriving, then many of the edge points from the cloud may be the difference between the market and defeat the competitor, or must fight for each customer. This information is not necessarily related to the products, processes, or services provided, which actually analyzes employee’s working methods, the busiest time, and how they manage time. We take manufacturing as an example.
The industry’s company hopes to analyze and detect changes in the production line before the failure. The edge calculation helps to close the processing and storage of the data. This allows the Internet of Things sensors to perform analysis in real time in low delay monitoring of machine health.
IBM said that by 2025, people in each network in the world will be interacting at least once every 18 seconds, and there will be more device-driven interactions. A large amount of data that needs to be processed needs to be analyzed on the source and only need to be subtly selected to synchronize to the cloud. By analyzing data from the edge of the network, the smart networking device can use artificial intelligence to detect the best data set, ignore useless numbers, and feedback the operational insights that companies can use.
This is also a trend that is happening. In the same study, IBM learned that 91% of their surveyed organizations were planned to implement some form of edge calculations within 5 years. No longer sitting ingredient – a large number of copies of the network, has now proven to have applications in multiple industries, including manufacturing, sports, fitness, and agriculture, but not always connected to the cloud.
For companies, the network edge hugs may seem little mediocre. However, you also need to monitor such insights to increase productivity. In the current "amplification fatigue" has become a common obstacle to organize to overcome, it is possible to discuss when they work, how to arrange a day of work and 12 meetings will be the best way to make contributions.
Enterprises can also utilize integration of intelligent edges in its latter infrastructure, which is a key growth area since the popular popularity. In the local data center, calculations and gateways, facing the growing demand and continuous decreased budget in IT teams, edge devices have become a necessity.
For example, the local data center manager is looking for a solution that allows them to monitor and manage the stacks they can quickly install. Similarly, the gateway edge solution that the company wants to use is a one-run solution that allows IT professionals to securely grant access to people who should have access to access rights, while still allowing a certain degree of remote management.
Like many innovations in the technology industry, it may be killed because I don’t know where to start. However, the starting point of the corporate edge may be a smaller solution, which uses artificial intelligence to make IT teams easier. Since then, companies can launch a solution in different departments to ensure an efficient staff team.
Over the years, the artificial intelligence and the marginal market is full of complex use cases of manufacturing and small equipment with sensors, which must be places where it can be used. However, after a bulky machinery and complex language, ordinary companies can use an advantage, operation and deployment, and establish a simple manner in a way that is not daunting but actually manually. It doesn’t take a long time.
This is because, in the final analysis, the edge calculation is to utilize data, understand data and make decisions that can improve efficiency. By adopting artificial intelligence in the edge, companies can save money, find new opportunities, win more customers and improve customer loyalty, because they can convert this information and deliver information in the form of USP, guarantee, or simple suggestions to make their products and services better.