Huo Houkun, the chairman of Huawei rotation: Digital and intelligent is the most certain development trend. Release digital productivity at the time

Cover news reporter Meng Mei Wu Yujia

How to release digital productivity, promote the development of the digital economy, and develop digital ecology? On September 19th, at the Huawei Full Corporation, Huawei's rotating chairman Hu Houkun proposed the three core measures to promote the digital transformation of thousands of industries: infrastructure first, continuously improving the connection and computing capabilities; "Use good clouds" to help the digital transformation of enterprises to achieve leapfrog development; actively build a local digital ecology, cultivate digital talents, and help the development of small and medium -sized enterprises.

In the past two years, the epidemic and other factors have led to the fluctuation of GDP growth in the world, but the digital economy has maintained a growth of more than 15%year -on -year in 2021. Hu Houkun believes: "Digitalization and intelligence are the most certain trend of the development of human society. It is both a challenge and an opportunity. At present, the urgent needs of digital transformation and the rapid iteration and innovation of ICT capabilities have promoted global digitalization into the fast lane. Release digital productivity at the time. "

From the perspective of digital needs, the epidemic continues to repeatedly, and the global economic fluctuations are urgently needed to drive industrial upgrading and promote economic development. Advanced technological productivity driven by digital technology is the source of economic and social development. We have seen that the epidemic in the past two years has led to the fluctuation of global GDP growth. Only the digital economy has always maintained positive growth, and in 2021, it has increased by 15.6%year -on -year.

From the perspective of digital technology supply, the Internet, big data, cloud computing, artificial intelligence, 5G and other technologies have accelerated innovation, which is becoming increasingly mature. The breakthroughs of data, computing power, and algorithms have brought great improvement of AI capabilities, and have surpassed the level of human beings in many fields such as natural language processing and visual recognition; cloud computing continues to innovate. It is expected that 85%of companies around the world will be in 2025. Gartner will be adopted; connection technology is also fully moved to 5.5G in the field of wireless and fixed networks.

From the perspective of digital technology, digital technology has increasingly integrated into all fields and processes of economic and social development, and is widely used in various industries. We can see that from the office field to the production field, from simple technology to complex technology applications, digital applications involve autonomous driving, remote control, AI detection, etc., which are popular in ports, manufacturing, energy and other industries, and bring production efficiency efficiency Significantly improved.

How to do digitalization and how to do it well? Hu Houkun concluded that first of all, digital infrastructure still needs to be strengthened. On the one hand, for the countries/enterprises that have just started digital transformation, the infrastructure of connection and computing is still relatively weak; on the other hand, the country/enterprise with a relatively early transformation and the process is relatively fast. Requirements. The scenes of thousands of industries are diverse, which requires 100 billion -level connections, 10 times bandwidth, low to microsecond delay and industrial stability. At the same time, the surge in data volume also requires a 100 -double increase in computing power.

Second, advanced technology (such as AI, big data, etc.) is difficult to land in the industry scene. For example, "the scene is complicated and the technology cannot be matched", such as "I have an idea, I can't find a suitable solution", and for example, "lack of digital experience and talents". We see that some ports have begun to use AI to improve the efficiency of dock scheduling, but it is not easy to use AI. Not only requires self-built IT devices and development environments, but also a number of experienced doctoral doctors spend 3-6 months to develop AI applications.

Third, with the deepening of digital transformation, industry application demand has increased sharply. IDC predicts that the development of the digital economy by 2024 will bred more than 500 million new applications/services, which is equivalent to the number of applications that have appeared over the past 40 years. The application development, deployment and operation efficiency based on traditional models cannot meet massive needs.

Infrastructure first, build a country/enterprise digital base first, digital transformation, and infrastructure first. The connection is the first step to achieve digitalization of the industry. The digitalization of Qianxingbaiye needs to be connected and machines, so that the data can be collected and flowed. Along with the industry applications entering the workshop from the park, from the office to the port and mining, the richer industry scenarios, putting higher requirements for digital facilities such as 5G, light, and IP. To this end, Huawei Joint Industrial Partners jointly define the evolution direction of 5.5G, F5.5G, Net5.5G, etc., to achieve 100 billion -level IoT, 10Gbps ubiquitous bandwidth, to meet the low latency, high reliability of the advanced industrial network, high and reliable reliability Waiting for requirements.

In order to make the data be considered and fast, the computing infrastructure construction must be strengthened. Industry digitalization is the transformation of data -driven, which will inevitably bring a large amount of data. He predicts that by 2030, the global general computing power will increase by 10 times, and the AI ​​computing power will increase 500 times. Countries/enterprises need to build computing power infrastructure for diversity computing, cloud-edge-end-collaborative computing power to meet the needs of data storage and calculation of massive terminals and smart application scenarios.

- END -