The following is the Second and third tier cities have unique innovation potential From Amazon cloud technology machine learning takes root in China’s industrial belt recommended by recordtrend.com. And this article belongs to the classification: machine learning, Industry information.
As an important part of artificial intelligence, machine learning has gone through decades. With the era of big data, the geometric times of data level increase, so that machine learning can have more use and new vitality.
In traditional cognition, artificial intelligence technology represented by machine learning exists more in the field of science and technology in first tier cities, especially in all directions dominated by internet giants. Rich resources, large business volume, more scientific research and technical personnel, and wide application direction have laid the unique advantages of the first tier cities. However, in the second and third tier cities, the lack of basic resources and talents limits the development of machine learning and other top technologies.
However, on the first anniversary of Amazon cloud technology machine learning Amazon sagemaker’s landing in China, Gu fan, general manager of Amazon cloud technology’s cloud service product management in Greater China, has brought us some different perspectives, overturning the previous prediction of the trend of cutting-edge technology development in second and third tier cities.
First of all, from the perspective of the industry, Gu fan believes that the first tier cities do have their unique advantages. There are a large number of Internet companies and software companies in the first tier cities. The business characteristics of these companies determine that they have to go faster and earlier than other industries“ Whether it’s watching news, listening to music, watching videos or shopping, which customer experience doesn’t have machine learning“ The first tier cities of Beijing, Shanghai, Guangzhou and Shenzhen cover the whole mobile Internet. As far as the industry is concerned, the application degree of machine learning in the first tier cities is indeed higher than that in other tier cities.
But from the perspective of industry, the conclusion is very interesting. Many provinces and regions in China have industrial characteristics, especially the traditional industrial manufacturing industry is basically distributed in the second and third tier cities. How to use machine learning to do intelligent and artificial intelligence based quality monitoring, improve yield and efficiency, reduce human participation, and even how to do equipment pre fault detection in the process of future industrial manufacturing modernization. A lot of demand is generated in these industrial belts. When an enterprise in the industrial belt solves an industry problem through machine learning, the industry will replicate and drive the technological innovation of the whole industry, and this kind of innovation will fall more on the second and third tier cities of these industrial belts.
Gu fan believes that the more traditional industries, the higher the leverage effect, because these traditional industries have a large foundation and a wide influence, which may be closely related to every resident.
A typical example is Shandong Zibo thermal Group Co., Ltd. Before the use of machine learning technology, the thermal industry has generally encountered the bottleneck from traditional heating to industrial intelligence. Zibo thermal group chose to work with Amazon cloud technology to solve the industry problems, and formed the industry innovation standard. At the same time, Zibo thermal group made technology output to its peers.
Zibo thermal power group uses the rich Al / ml technology and services of Amazon cloud technology to quickly build, train and deploy machine learning models to achieve accurate heating. It can calculate the best heating mode according to the weather, industrial control data, building maintenance structure and other information, and give specific operation instructions, so that users can always maintain the best comfortable temperature of human body at room temperature, And try to save the cost as much as possible.
Through machine learning technology, Zibo thermal power group has transformed its years of industry expert level experience into a national leading technological innovation, and has become the “industrial intelligence” master of many peers. This highlights the innovation potential of the combination of top technology and industrial belt. These businesses are more related to people’s lives and solve many practical problems.
Wang Degang, Secretary of the Party committee and chairman of Zibo Energy Group Co., Ltd. and Zibo Heating Group Co., Ltd., said, “over the years, Zibo heating has transformed traditional heating by means of information technology, and is committed to becoming the maker of industry standards and the leader of industry development. Through cooperation with Amazon cloud technology and innovation of machine learning ability, we have built an intelligent heating platform based on machine learning and big data analysis, which helps us transform from traditional heating to industrial intelligence, achieve energy conservation and emission reduction while meeting the needs of users, and establish a green energy ecosystem. In the future, we hope that we can continue to innovate with the help of advanced cloud technology to promote the digital and intelligent transformation of domestic thermal industry“
According to the data provided by Amazon cloud technology, at present, hundreds of thousands of customers around the world choose Amazon cloud technology to run machine learning workload. In China, Amazon’s cloud technology machine learning service is favored by customers in various industries, such as health care, education, travel, industrial intelligence, games, new media, etc. Yitikang, Jingtai technology, new century medical, lemonbox, youdaoledu, jiliquala, AOL, Shouqi car hailing, Debbie software, momenta, Tucson future, Walker AI, tianherong, Zhongke Chuangda With the wide adoption of a number of enterprises and institutions such as Hualai technology, Daewoo infinite, Shaanxi University of science and technology, yidiantianxia, Zibo thermal power, a variety of artificial intelligence application innovations have been realized in all walks of life.
Gu fan believes that many provinces in China contain different industrial belt characteristics, including many auto driving automobile R & D bases, cross-border e-commerce bases, etc., which are scattered in the second and third tier urban areas, and there are many innovative scenarios“ Who solves a scene with machine learning first, others will pay attention to it. Therefore, from the perspective of industry, it is obvious that there is an expanding effect“
On the first anniversary of Amazon sagemaker’s landing in China, Amazon cloud technology announced the further launch of a number of new services and functions of artificial intelligence and machine learning.
The technical part includes top-level artificial intelligence service, middle-level machine learning service and bottom-level framework and infrastructure.
In the aspect of artificial intelligence (AI) services, Amazon cloud technology launched Amazon personalize in Beijing. Customers can easily and quickly build personalized recommendation systems without having machine learning expertise.
In the middle tier, seven new functions including data Wrangler, feature store and pipelines, which Amazon sagemaker will present in re: invest 2020, will be launched in Beijing and Ningxia, so that customers can more easily build end-to-end machine learning pipelines.
In terms of computing power, Amazon cloud technology has launched Amazon EC2 INF1 cases in Beijing and Ningxia. This case is based on Amazon inferentia, a machine learning reasoning chip developed by Amazon cloud technology. Compared with the current GPU based case with the lowest cost, it can improve the throughput by up to 30% and reduce the cost of each inference by up to 45%.
In January 2021, the Ministry of industry and information technology issued the “industrial Internet innovation and development action plan (2021-2023)”, which formulated a series of development goals to promote the construction of new industrial Internet infrastructure with both quantity and quality. In March, the full text of the 14th five year plan of the people’s Republic of China for national economic and social development and the outline of long-term goals for 2035 (hereinafter referred to as the “Outline”) was officially released. There are 57 related expressions of “intelligence” and “wisdom” in 19 chapters.
As a cloud computing company with the global leading machine learning technology capability, Amazon cloud technology is taking root in China’s industrial belt, combining these traditional industrial belts with top technologies to create more innovation opportunities. Read more: Amazon cloud technology launched new machine learning services in China to create a wide and in-depth AI and machine learning tool set Amazon cloud service (AWS) launched Amazon in Ningxia and Beijing Sagemaker Amazon cloud service (AWS) accelerates the speed of cloud products and services landing in China from professional field to mass field. AWS joins hands with China’s local travel giant FAW car Hailing Amazon cloud technology to launch predictive maintenance service for industrial equipment based on machine learning. Kechuangda joins hands with Amazon cloud service (AWS) to accelerate AI deployment of smart industry. ADC system is fully integrated with Amazon sagemaker Amazon Zon sagemaker helps AI achieve game content filtering accuracy of 96% prismatic: it takes only 10 seconds to analyze users’ interests by machine learning Amazon cloud service (AWS) promotes machine learning innovative applications AWS releases five machine learning services for industrial fields AWS Zhang Xia: tensorflow 85% of the world’s load is on AWS platform, and the development cost can be reduced by 54% art and machine learning machine learning How to predict the traitor in the game of rights? Google wants to use machine learning technology to catch up with AWS and azure in the field of cloud services. Amazon cloud technology announces that Amazon nimble studio is officially available. It takes only a few hours to build an image content studio on the cloud
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