/ Aswen News/August 04, 2022 Guangzhou -- "Data has become a new factor of production, cloud has become an important productivity, and data-driven integration of car and cloud will become the key to competition in the automobile industry." So said Zhong Xuedan, vice president of Tencent Smart Mobility, in a keynote speech at the 9th International Intelligent Network Automotive Technology Annual Conference (CICV 2022) on Aug 1.
The year 2022 will be a critical year for the large-scale commercialization of key technologies in the automotive industry, such as digital transformation, autonomous driving and intelligent connectivity.At present, standing in the major period of upgrading the structure of the automobile industry, Zhong Xuedan said that Tencent will adhere to the role of digital assistant, focus on its own strengths in three areas:
First, deep cultivation of the cloud, the picture of the core infrastructure;
Second, give full play to the value of C2B connection; Third, jointly build an open environment.
This year is the fifth year that Tencent has been involved in the automobile industry. Tencent started from the Internet of vehicles in the early days to help promote automobile intelligence and continuously enrich the on-board application ecology. At the same time, the cloud is an effective supplement to the car end, so Tencent gradually introduced proprietary cloud solutions and digital platform tools. At present, Tencent is helping the development of "car-cloud integration" in the automobile industry through the complete product layout of car-end and cloud.
The auto industry experienced a short-term shock in the first half of this year due to the pandemic and other factors. But from the long-term development trend, the auto industry is still moving forward at a high speed. In this context, Zhong Xuedan summarized three core changes in the industry:
First, automatic driving has entered the night of mass production.
According to the "China Autonomous vehicle Market Data Tracking Report" released by IDC, the penetration rate of L2 level autonomous driving in China has reached 23.2% in the first quarter of this year. At the same time, recently a number of new cars have been equipped with high computing computing platform, laser radar and other hardware configurations for L3 level or above. It is expected that in 2023, L3 and above high-level autonomous driving will be put on the market in a large scale.
Behind the large-scale commercial landing of autonomous driving, accompanied by huge R&D and operation investment, how to carry out algorithm iteration and experience optimization more efficiently and at lower cost, has become a big topic in front of the automobile industry.
Second, users' willingness to pay for intelligent technology and requirements are growing.
With the improvement of automobile intelligence level, software defined automobile gradually becomes the mainstream trend. The auto industry will shift from selling hardware to paying for software.
Relevant statistics show that 90% of consumers are willing to pay for connected car services and 60% are willing to pay for OTA upgrades. This also means that when intelligent and OTA become the standard vehicles, how to expand the profit model of intelligent technology has become a new test for auto enterprises.
In Zhong Xuedan's opinion, a good experience is no longer a piled configuration, but a user-oriented, data-driven, constantly upgraded and iterated through cloud capabilities to provide users with on-demand services and create an experience with brand differentiation.
Third, the automobile industry has entered an era of coexistence of uncertainty and compliance.
On the one hand, the recurrence of COVID-19 and other uncertain factors have caused frequent challenges to the supply chain and the sales end. On the other hand, the introduction of relevant laws and regulations, industry standards and regulatory systems is also guiding the automobile industry to develop in a more standard, safer and more orderly way, which puts forward higher requirements for data compliance, autonomy and controllability of enterprises.
Behind the core changes of the three industries are key issues that the entire automobile industry needs to solve, such as how to improve the efficiency of R&D and production, how to expand the profit model of intelligent technology, and how to ensure the business resilience.
In the future, the cloud will also be the basis for continuous iteration and evolution of automotive software. Based on the cloud, it can define intelligence, define experience, and define new business models. Therefore, it is not difficult to see that data has become a new factor of production, cloud has become an important productivity, and data-driven integration of car and cloud will become the key to competition in the automobile industry.
The cloud has become an indispensable new productivity in the automotive industry. Zhong Xuedan believes that cloud-based collaboration in the automotive industry will produce three core values: more extreme user experience, continuously optimized research and development efficiency, and continuously enhanced business resilience.
The first value, the ultimate user experience. Cloud-based Internet services can help the intelligent cockpit and intelligent driving services constantly upgrade and iterate.
For example, compared with the on-board native app, the on-board mini program framework deployed in the cloud can introduce rich ecological services more quickly, at lower cost and with lighter weight. Wechat mini program ecosystem has a scale of 320W. In the future, with the closer connection between the car and the cloud, users can obtain rich content and services immediately and on demand without downloading and installing.
For example, through the new generation of scene engine, the real-time perception of the scene at the car end can be combined with the cloud's AI and data capabilities, so that users can more clearly know where they are, what is around them, and where the desired services are. And through multi-mode interaction, it can provide users with a more immersive exploration experience.
In the autonomous driving scenario and high-level assisted driving scenario, Tencent launched a new generation of intelligent driving map, through the cloud real-time connection and integrated data architecture, the first to realize the data homology of high-precision map, ADAS map and SD map. Map forms can be automatically switched for different driving modes of manual driving, assisted driving and automatic driving, and a variety of scales can be seamlessly switched from lane level accuracy to path level accuracy.
Zhong Xuedan said that the form of car-map - cloud integration can help solve the current industry common data mismatch between various maps, intelligent driving system manual take over frequency is high, map update frequency is difficult to be unified and other constraints on the practical application of intelligent driving functions, so as to bring users a more vivid, more real, more accurate navigation experience.Car cloud integration of the second largest value, optimize the research and development efficiency. The main purpose is to improve the efficiency of research and development operations, which is one of the key factors to win the competition.
The technology change speed of intelligent vehicles is very fast. Besides the factors such as perception ability, computing power platform and control optimization, another very important factor is the data generation platform and algorithm training platform in the cloud.
Relevant data show that in engineering practice, about 70-80% of the manual time is spent on data processing to obtain an algorithm model. About 70-80% of machine time is spent on model training. It can be seen that data and calculation are the two key factors driving the improvement of R&D efficiency.
In this context, GooseFS, a storage acceleration service independently developed by Tencent, has improved its acceleration performance by 10 times compared with the traditional storage access and access mode, making massive data no longer encounter the bottleneck of value mining. At the same time, Tencent also provides a one-stop algorithm development and training framework -- TI-One, which can greatly save the cost of algorithm training. In the process of model training, the TCO of algorithm development can be reduced by at least 50%, helping to further awaken the sleeping computing power. For R & D scenarios, Tencent's automated DevOps, AIOps intelligent operation and maintenance, low code platform and other tools can make R & D and operation more agile, improve the efficiency of software iteration and R & D.
Zhong Xuedan said: "We believe that the more efficient and low-cost cloud, must meet the specific needs of the industry cloud."
Therefore, Tencent has set up an intelligent car cloud zone in Shanghai. From the hardware selection of the cloud zone to the cloud components, the configuration and optimization are highly combined with the special needs of the intelligent car industry. In the intelligent car cloud, Tencent has created a complete automated tool chain on the cloud, such as autonomous driving, intelligent driving map, cockpit, etc., to bring out-of-the-box proprietary cloud services for auto companies, so that auto companies can focus more on algorithm optimization and experience improvement.
The third value cloud synergy brings is increased business resilience.
At present, the automobile industry is undergoing structural changes and has entered the era of strong supervision and safety compliance development, which puts forward higher requirements for the safety construction, digital operation ability and more real-time accident handling ability of enterprises.
At the same time, the global automobile industry is faced with multiple challenges in the supply chain, manufacturing, sales and other links under the impact of the COVID-19 pandemic.
Cloud has the characteristics of more flexibility, openness, compatibility and sustainable operation. It can become a regular standard configuration for automobile enterprises in the process of improving business resilience. Moped enterprises should respond to unexpected business at any time, improve business agility, and effectively reduce the overall TCO.
Based on the experience of cloud and digital practice and combined with the business characteristics of the automobile industry, Tencent can make use of the digital base of the cloud platform to realize intelligent research and development, intelligent production, intelligent management, intelligent operation, and continue to help the automobile industry to enhance business toughness.
In fact, for Tencent, providing digital support for the auto industry with the cloud as the core is the most suitable role for Tencent, and one of the most complementary ways of cooperation.
On the one hand, Tencent is the first company in China and the fifth in the world to operate more than one million servers, and will build several large data center clusters with the size of millions of servers across the country. At the same time, Tencent cloud peak bandwidth also broke through 200T, the global deployment of 2800+ accelerated nodes, storage scale reached EB level, service and traffic to maintain the world's first echelon.
Recently, Tencent's massive self-research business has realized a comprehensive cloud, Tencent products will all run above Tencent public cloud, which is also the largest cloud native practice in China. This also shows that the security, stability and scalability of Tencent Cloud can withstand the test of the largest Internet application in China and the high frequency service demand of 1 billion users.
On the other hand, on the base of Tencent cloud, Tencent can customize development for the special needs of various links of the automobile industry. Around the intelligent automobile cloud, digital marketing, office integration, industrial manufacturing and other scenarios, launched 130+ cloud industry solutions.
< /p>Relevant data shows that there are already 100 car companies and mobility technology companies using Tencent Cloud services. It is not difficult to see that Tencent is gradually building its own benchmark in the automobile industry around the integration of car and cloud.
