Huawei Cloud's AI Deep Dive Journey

Historically, AI technology has experienced two cold winter, the reason is that technology development and industrial demand are disconnected. Since AI technology entered the third wave of development in 2017, all sectors of industry and academics are asking the same question: this time AI technology represented by machine learning can achieve the combination of industrial development and enterprise demand, so as to avoid another cold winter again Is it coming?

Over the years, AI technology has also experienced many controversy. But it can be seen that in the core direction of integrating the industry, AI is getting further and further. Enterprises' recognition of intelligence has gradually increased, and the basic capabilities in the field of machine vision and intelligent voice have been launched on large -scale industries. At the same time, a more critical question emerges: Is the goal of AI a number of basic capabilities that can be called by an enterprise, or to help enterprises complete the liberation of productivity from deep levels?

This problem directly determines the value of AI, and also determines the upper limit of the integration of cloud services, AI, and enterprises. The core of this problem is whether AI can truly integrate into the core production system of the enterprise.

AI technology is integrated into the core of the industry. It can be said to be an intelligent deep -sea area, which is still in the stage of exploration and attempt. On this road, Huawei Cloud is one of the farthest cloud computing service providers. From the perspective of market data, Huawei Cloud ranked first in the "2021H2 China AI Cloud Service Market Research Report" in the latest "2021H2 China AI Cloud Service Market Research Report". This shows that enterprises also recognize the complex and deep intelligent construction based on the AI ​​development platform provided by Huawei Cloud. The key point is the AI ​​development and production line Modelrts provided by Huawei Cloud.

Let's see how Huawei Cloud and Modelrts have completed this AI deep dive journey from three aspects: market, technology, and ecology.

AI Deep Sea, located at the core of the industry

The method of applying AI capabilities in enterprises can be divided into two types: standardized calling AI capacity, customized AI development. Obviously, standardized AI capabilities, such as machine vision, voice recognition, NLP, etc., can only solve specific problems. And wanting to deeply and normalize the value from AI technology, enterprises inevitably need to carry out a large number of AI development. The more you can get closer to the core production scenarios of the enterprise and activate the AI ​​development of the main road product, the more you can bring value to the enterprise.

Perhaps it can be said that AI capability calls are shallow waters of AI; AI development is the central waters; in -depth AI development and deployment of the core of the industry are the real AI deep sea.

If you want to get value in the deep sea, companies generally face two problems:

First, there are too many steps for AI development and the process is too complicated. It involves steps from data collection and processing, to AI training, reasoning, and application. And a large number of new technologies have emerged in each step, resulting in enterprises unable to start. Development barriers between each link also cause a lot of trouble.

Second, there are too many factors involved in AI development. Enterprises need abundant computing power, effective development tools, experienced AI development talents and other conditions. The lack of any factors or weakness will cause overall AI development dilemma.

The existence of these two difficulties has made AI development close to the core of the industry into a "wooden barrel dilemma". Even if the enterprise already has many capabilities and conditions, it may still be due to the surge in AI development costs, slow launch time, poor business compatibility, etc. due to one or some weaknesses.

Today, it is not the optimal solution to build a development platform and conduct AI application development by themselves. It is very important to find a suitable professional development platform. Machine learning and development through public clouds is becoming the choice of more and more companies.

Machine learning public cloud: a certified deep submarine channel

Based on the cloud base as the development of machine learning and development, it is relatively reasonable to plan resources, flexibly access the scenarioization capabilities, and deploy computing power on demand, which is being accepted by more and more enterprises. Judging from the current market space, the rising speed of the AI ​​public cloud is much larger than that of other AI software service models.

AI cloud services are divided into several types. Among them, machine learning cloud services are one that can best meet the needs of corporate customization and platformization. It is also the most test of the comprehensive AI capabilities and development tools of cloud service providers. It can be said that the public cloud of machine learning is one of the most ideal channels for the in -depth sea area of ​​the industry, which has been deeply recognized by the enterprise and the industry.

On this channel, Huawei Cloud has occupied a leading position. According to the latest "2021H2 China AI Cloud Service Market Research Report" released by IDC, in the second half of 2021, Huawei Cloud ranked first in the market share of public cloud services in Chinese machinery learning in China. So far, the Huawei Cloud AI Development and Production Line Modes has appeared on the top of the market for four consecutive times.

In observing Huawei Cloud In the composition of the public cloud industry in machine learning, two significant characteristics can be found: first, the growth of rapid growth, the high market share has soared; the other is that government and enterprise customers highly trust Huawei Cloud, and they are willing to take the most comprehensive ability of government and enterprises. The demand is on the Huawei cloud.

In this key channel, how did Huawei Yun complete the market lead? The answer lies in two aspects, technology and ecology.

Deep Sea needs "Almighty Submarine": AI production line that is intertwined

As mentioned earlier, in the customized AI development of enterprises, many steps and complexity are the first problems. In particular, large and medium -sized enterprises represented by government and enterprises are very complicated in business processes. AI capabilities need to be embedded in the industrial system, and building a full process tooling is the key. To help enterprises achieve this goal, the breakthrough plan is the technical upgrade of the development platform, allowing the development to move towards the automation and intelligence of the entire process. As the first batch of full -power leading AI development platform certified by China CITIC Institute, Modelrts has always aimed at the goal of reducing development thresholds and opening up the development process. Modelrts, which debuted in 2018, is in terms of data intelligent labeling, model automatic training, etc. Bring a one -stop development experience to enterprise developers. For a few years, the continuously upgraded Modelrts has continuously enriched the product functions in data processing-algorithm development-model training-model management and deployment AI full life cycle, and finally built the "AI development and production line".

During the data processing phase, Modelrts provides massive data pre -processing and intelligent labeling capabilities, saving enterprises with a large number of repeated labor and development time; during the training stage, Modelrts can support large -scale distributed training, which is closer to the development needs of industrial AI, and can be possible Realize model automation generation and highly explained, greatly reduce the threshold for development; in the field of deployment, Modelrts can realize the deployment of the entire scene as needed to meet the needs of the complicated scenario of AI for enterprises.

In this way, all aspects of AI development can be opened by Modelrts and can complete AI's full -cycle work stream management. Development from AI with a full process, low threshold, and low cost. Not long ago, the Huawei Cloud AI Development and Production Line Modelrts also added a new member: Huawei Cloud Modelbox AI application development framework, providing users with the ability to generate, evaluate, and inference deployment capabilities required for application development to help developers block the differences in software and hardware at the bottom, realize the realization A full -scale deployment of AI applications.

If you want to sneak into the deep sea with complex, changeable, and stress, the submarine must have the same ability. If you want to let AI go to the core of the enterprise, you need not a technology and product, but an AI production line with countless technologies.

Ecological gathering journey: build AI deep -sea exploration clusters

Another problem developed by enterprise AI is that there are many factors, and the support and help of enterprises also have a variety of. This cannot be solved by technology, but it is necessary to build a comprehensive ecological environment so that every needs of enterprises can find answers and help in the ecology.

In order to achieve this goal, Huawei Cloud has built a rich three -dimensional ecosystem around AI development, and together with partners, users, and developers to reach the deep sea area of ​​industrial intelligence.

At this stage, the AI ​​ecology built by Huawei Cloud can be understood as two parts. From a horizontal point of view, Huawei Cloud AI Gallery is a developer community based on the Huawei Cloud AI development and production line Modelrts. Each link is opened to further reduce the threshold for development.

Vowererate, in order to deeply open the needs of enterprise AI development and achieve accurate docking of customized AI capabilities, Huawei Cloud released the Ecological Partner Plan D-PLAN. This plan has accelerated the application of AI applications in an all -round way to build the blocking point and difficulty in AI development by the way to jointly build the AI ​​ecosystem with the partner, and accelerate the application of AI applications in a side -by -side cooperation.

Cao Cao's travel is a travel platform we often use. As a representative platform for its own vehicle, Cao Cao travels has a strong demand for the precise scheduling of the vehicle. Optimizing the vehicle configuration plan with AI technology, allowing drivers to predict the large number of units and no traffic jams are obviously the core production capacity of the travel platform. However, the standardized AI capability is difficult to meet the needs of precision predicting the relationship between supply and demand. Therefore, based on Huawei Cloud Modelrts, with the support of Huawei Cloud D-Plan, Cao Cao went to Lianhua Hua Yun to create an intelligent scheduling solution. This plan has also made efforts in terms of order forecast and vehicle scheduling, optimizing the platform's supply and demand regulatory ability, and promoting income growth.

Judging from the final result, Huawei Cloud's AI solution brought a shorter development cycle to Cao Cao's travel, which greatly reduced development costs compared to the self -developed path, which shortened the delivery cycle of order prediction and vehicle dispatching capabilities. 30%. And this cooperation fully activates the advantages of cloud services, and uses Huawei Cloud's computing capabilities to improve model training and deployment efficiency of more than 20%. In the end, Cao Cao's driver can predict where there will be orders with the help of "AI Eyes", and effectively reduce the time of driver's empty car cruising.

At present, Huawei Cloud AI Gallery and their AI Ecological Plan D-PLAN have brought together more than 50,000 AI-related assets, more than 70 universities, and more than 200 doctors. The overall involving six major industries and 25 subdivided scenarios. For the objective situation of developing a large volume, complex demand, and high customization of enterprises, Huawei Cloud D-PLAN empowerment in a more reasonable and direct way. Help enterprises quickly get value returns from AI capabilities.

Facing the challenge and responsibility of the AI Deep Sea area, Huawei Cloud chose the high -value track of the public cloud to learn the public cloud; cultivated the AI development and production line, the all -round submarine;voyage.Several strengths gathered, and eventually Huawei Cloud was recognized by the AI market.Under the deep sea is the treasure of the smart world.

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