2023 年 4 月 – 第 2 页 – 上海后花园论坛-上海419论坛-夜上海论坛

What industries can be changed by establishing the National Data Bureau？

Produced by Tiger Sniffing Technology Group

Author | Qi Jian

Editor | Chen Yifan

Toutu | vision china

Data elements are becoming more and more important.

On March 7, 2023, according to the Xinhua News Agency, the National Data Bureau was established according to the State Council’s proposal to submit the institutional reform plan of the State Council.

The National Bureau of Data will be responsible for coordinating and promoting the construction of basic data systems, coordinating the integration, sharing, development and utilization of data resources, and coordinating the planning and construction of digital China, digital economy and digital society, which will be managed by the National Development and Reform Commission.

The establishment of the National Data Bureau will be more conducive to mobilizing all resources to comprehensively promote the construction of digital China and the development of digital economy.

"The most practical contradiction in front of data circulation is the ownership of data and the security of data. Data ownership and security issues are big issues involving public interests, and no institution or enterprise can solve them. " Guo Zhaohui, chief scientist of Shanghai Youye Information Technology Co., Ltd., told Tiger Sniff.

Therefore, the consensus of many experts and industrial people is that the establishment of a national data bureau can better solve the urgent problems faced by the development and utilization of data elements resources at the national level. For example, at present, the domestic data infrastructure system needs to carry out a series of system construction in terms of data confirmation, circulation, transaction, rights distribution, security and compliance, and provide institutional guarantee for the cultivation of data elements market.

Institutional guarantee of data factor market

On February 26th, Peng Lihui, Secretary-General of china electronic chamber of commerce, introduced that in 2021, China’s data element market will be about 81.5 billion yuan.It is estimated that the compound growth rate of market scale will exceed 25% during the "14th Five-Year Plan" period, and the scale is expected to approach 200 billion yuan by 2025.From the perspective of subdivision, the market scale of storage, analysis and processing of data elements all exceeds 15 billion yuan, laying a solid foundation for the resource utilization of data elements; The industrial scale of data transaction and data service reached 12 billion yuan and 8.5 billion yuan respectively.

However, as an important factor of production, the current market system is not perfect, and the basic systems such as data property rights and transaction circulation need to be formulated and improved urgently.

Guo Zhaohui gave an example to Tiger Sniff. Taking the medical industry as an example, from the aspect of medical treatment, the data in China’s medical field is very huge. China has a large population, and every hospital has a large number of patients and diseases data. However, due to the poor data circulation, each hospital can only fight on its own and cannot establish a unified data system. This not only increases the difficulty for patients to seek medical treatment, but also greatly hinders the development and progress of medical system and medical technology. Even from the perspective of technological development, the research and development of medical AI needs to mobilize data from all parties to "feed" AI, but if the data factor market is not opened, and the data in the medical industry is relatively scattered, it is necessary to consider the protection of patient privacy, which makes it difficult for relevant R&D enterprises to obtain data, thus hindering the research and development of technology.

In many industries, some enterprises and research institutions have thought about data alliance, but in practice, such alliance is extremely difficult to promote.For example, for training large models, a large amount of data is needed.This brings huge workload to data cleaning, screening and standardization.They also hope to cooperate with enterprises with a large amount of data, so that the amount of data is larger and the quality is better, but the reality is that enterprises are often reluctant to share these data. Guo Zhaohui said that because these data alliances have no administrative and law enforcement rights, it is difficult to actually promote data circulation.

Even the big data exchange established in the past few years is facing an embarrassing situation. Previously, a survey conducted by Nandu Big Data Research Institute found that at present, local data exchanges generally require enterprises to provide compliance assessment certificates issued by professional lawyers for each transaction before entering the transaction, that is, the so-called "assessment once entering the market". However, this has greatly increased the cost of enterprises’ entry transactions, and the related supervision mechanism is not perfect, which leads enterprises to "dare not enter the market" and "unwilling to enter the market". This actually prevents data resources from being used to a greater extent.

In the enterprise search, "data transaction" is used as the key word to search the enterprise name, and there are 57 operating companies whose operating status is surviving, in business and established. Many major cities and industrial bases in China have set up their own data exchanges, including Beijing, Shanghai, Shenzhen, Guangzhou, Guiyang, Suzhou and Hangzhou. Provincial data exchanges have also been established in Hunan, Hubei and Fujian.

So what is the actual trading volume of these exchanges? Take Guiyang Big Data Exchange as an example. Guiyang Big Data Exchange was officially put into operation in 2015. It is the earliest batch of data exchanges in China. Up to now, the exchange has accumulated 502 data vendors and 21 data intermediaries, with a total of 800 products and 438 transactions, with a total transaction volume of 734 million yuan.

Fan Yuan, chairman of Hangzhou Anheng Information Technology Co., Ltd., has worked hard in the field of data security for many years. According to Fan Yuan,The establishment of the National Data Bureau can better coordinate and promote the construction of the basic data system, and coordinate the integration, sharing, development and utilization of data resources.In this way, it can provide richer data resources and more efficient data acquisition channels for the big data industry, and provide a broader space for big data applications and data element markets.

Fan Yuan also put forward an important aspect, that is, the establishment of data standards. For a long time, there has not been a practical and effective unified standard for the transaction and circulation of data, which has also brought a lot of trouble to data work. Fan Yuan said that the National Bureau of Data will be responsible for promoting data standardization and standardizing various data formats and data structures, which will help improve the efficiency and accuracy of data exchange, accelerate the establishment of a data classification and classification protection system, and make the big data industry more standardized and standardized.

Tighter supervision

"If you don’t open the interface of data sharing, then such a large data resource in China can’t be played well." Guo Zhaohui believes that the development of intelligence can only be achieved based on data sharing. However, the main reasons for the difficulty in data sharing and slow circulation are not only the failure to clearly confirm the rights and formulate standards, but also the safety and compliance issues.

Fan Yuan said that after the establishment of the National Data Bureau, it will be responsible for the supervision and security management of national data resources, which will mean stricter data security standards and regulatory requirements, and make the risks of data leakage and abuse more effectively controlled.

Or take the data exchange as an example. Ideally, more data should circulate in the exchange. However, due to the lack of supervision, some data flows have gone off-site and even entered the "black market".

According to the "2022 Data Asset Leakage Analysis Report" released by Internet security research institutions threatening hunters on March 3,In 2022, there were more than 3,200 cases of data leakage in China, nearly double the number in 2021.There are a wide range of data leakage channels, with anonymous society software accounting for over 75%. In the distribution of data leakage industries in 2022, finance, logistics and e-commerce industries occupy the top three. Among the main reasons for data leakage in 2022, operator channel leakage accounted for the first place. In the underground black market data transactions, about 71% transactions disclose the amount of data sold, among which "small-scale real-time data" with the transaction data level below 10,000 exceeds 73%, which has become the mainstream of data transactions.

In terms of data security, the GDPR of the European Union is called "the most stringent data protection regulation in history", while the protection of personal information in the United States focuses on industry self-discipline. Tiger Sniff asked a number of professionals and legal professionals, and the consensus was that China would adopt a regulation between the United States and Europe. After all, if it was too strict, it would restrict the development of the industry. Today, in terms of data security protection, China has the Cyber Security Law and the Personal Information Protection Law, which came into effect in November 2021. However, more detailed rules and norms are needed in the landing of specific practical problems.

At present, the national data bureau should focus more on public utilities, government affairs, and areas with large data and great influence on the national economy and people’s livelihood. It may play a relatively small role in promoting those industries with strong personalization or more subdivision standards.

This is also the consensus of the industry. Fan Yuan’s view is that the National Bureau of Data will promote the industry to a more stable development direction, especially for Party B, which provides products and technical services for the government industry. For example, for domestic relational databases and big data storage engines, it will be beneficial to domestic companies such as chips, storage, operating systems and processors at the data level for a long time.

Specifically, how to land in the industry, Cui Xiangyu, assistant vice president of Beijing Haitian Ruisheng Technology Co., Ltd., suggested that scientific research institutions, enterprises and other industrial entities should be specially supported to form innovative consortia, and joint research should be carried out on key technologies and capabilities to enhance the value of data elements, and the transformation and application of results should be accelerated to activate the potential of data elements and release the value of data elements. It is necessary to strengthen the research and construction of the basic data supply capacity of large models, such as building an integrated basic data resource supply service platform, a digital computing integrated service platform, artificial intelligence data sets of key industries, data services based on blockchain and privacy computing, and other new infrastructures to consolidate the data base of the digital economy.

On the other hand, the suggestion is to actively explore and support the establishment of national data factor market cultivation experimental zones in many places, and guide the market-oriented entities such as telecom operators, platform enterprises and industry leaders to actively participate, so as to achieve breakthroughs in data basic systems, data circulation transactions, data resources and data factor industry ecology, and accelerate the process of data factor market cultivation.

People who are changing and want to change the world are all there. Tiger sniffing APP

U20 national football team beats South Korea! There will be three good news.

On March 12th, Beijing time, the U20 Asian Youth Championship will usher in the quarter-finals. China’s U20 men’s soccer team will play against South Korea’s and China’s U20 men’s soccer team will beat South Korea, which will usher in three good news:

1. China U20 will qualify for the World Youth Championship.

Qualifying for the World Youth Championship is very important for us, because all the echelons of our men’s soccer team have not participated in the world series for a long time, which shows that we have been derailed from the world. If we still can’t qualify for the world series, the gap between us will only get bigger and bigger.

2. Send more football talents to the country.

Judging from this U20 national team, there are still a few good young players in the team, the opportunity maker of captain Alfredo, and every goal in several group matches is related to Alfredo, the brain of U20 men’s soccer team. As the goalkeeper of China U20 men’s soccer team, Li Hao has wonderful saves in every game, which is the most important threshold for our defense.

3. Reject fear of Korea

Although we have broken the fear of Korea before, we can beat South Korea. For our current youth army, we are not afraid of South Korea from the heart. After this group enters the national team, it is also a kind of confidence for the China men’s football team.

Romano： Al Thani thinks he can buy Manchester United and thinks he is the highest bidder.

According to well-known journalist Romano, Al Thani still believes that he can buy Manchester United and thinks his bid is the best.

Romano wrote: "Al-Thani still believes that he can buy Manchester United, and he is still keen on the full acquisition of Manchester United. And Al Thani thinks his bid may be the best. He plans to invest in the team, the youth training system and improve facilities. "

Jingsong Intelligent has joined hands with the beer industry TOP to build a smart factory project with an annual output of 800 million liters!

In 1993, a company specializing in beer production and management was established. After nearly 30 years of rapid development, the company has now become a global beer market leader, with domestic sales far ahead for many years.

While deepening the quality strategy, the company pays attention to the overall transformation and upgrading of intelligent manufacturing. In order to improve the production efficiency of traditional warehousing and realize the intelligence of the whole process of "warehousing, distribution, production and traceability", the enterprise and Jingsong Intelligent reached a cooperation, and both of them successfully built an intelligent factory project with an annual output of 800,000,000 liters with the goal of building an industry-leading world-class factory!

Based on rich case experience in food industry, Jingsong Intelligent integrates "OCMS+TMS+MES+WMS+WCS" and other systems. Through the application of intelligent equipment such as high-position stacker, shuttle car, intelligent AGV and flexible production line, the data link of "man, machine, material, method, environment and measurement" can be connected efficiently, and the storage capacity of vertical warehouse can reach 2070 after completion. The circulation efficiency of 200,000 bottles/hour and 240,000 listening/hour on the production line greatly shortens the product production cycle, increases the space utilization rate, reduces the operating cost, improves the accuracy of decision-making, and achieves the double improvement of production efficiency and product quality.

Customer pain point

Low lack of real-time,

Accurate data monitoring and scheduling management

● Traditionally stacking goods.

Cause insufficient space utilization

● Extensive stacking method increases the risk of material waste and finished product damage.

● The traditional mode of searching for goods by people is characterized by high labor intensity, high error cost and low labor efficiency, and it is urgent to improve the level of intelligence.

With the increasing market orders, the original production rhythm and capacity status can no longer meet the growing market demand.

solution

01 a complete set

Automated logistics system

The logistics system of this project is composed of vehicle management system, truck scale system, automatic three-dimensional warehouse system, etc., to ensure the global information sharing from vehicle entering and leaving the factory, weighing and counting of raw materials and waste trucks, material entering and leaving the warehouse, finished products entering and leaving the warehouse, bottles and boxes stacking entering and leaving the warehouse, and the data can be traced, thus realizing digital and visual management inside the factory.

02 advanced in the industry

Manufacturing technology and intelligent equipment

Jingsong Intelligent is based on the design concept of benchmark three-dimensional library in domestic food industry, and several unconventional designs are adopted in the project.

The international advanced switch technology of double-station heavy-duty circular shuttle bus realizes the frequent control of automatic track change of fork, and the ultra-high flow design supports the simultaneous entry and exit of two batches of goods, which improves the efficiency by at least 2 times compared with single station.

Facing the demand of high-flow empty bottle stacks, Jingsong adopts advanced control system to achieve long-distance and flexible switching of many categories, which is perfectly connected with the production line and realizes efficient operation of automatic online and offline.

The completion and use of 20,776 storage spaces and 27 stackers in the three-dimensional warehouse provide hardware support for finished products, packaging materials, empty tins and other materials to reach the level of unit load of 1,500 kg/Torr and 1,485 Torr/hour when they leave warehousing operation.

03 quick

Intelligent AGV production line transportation system

Seven forklift AGVs replace the original manual electric carts for cross-workshop transportation, which have the functions of material distribution, accessory collection, waste recycling and collection, and realize automatic online and offline packaging materials and automatic waste treatment in the production line area.

The AGVS intelligent scheduling system connects the information interaction between process and warehouse.

Multi-system

Fusion and docking

The TMS, WMS and truck scale systems developed by Jingsong Intelligent are based on the industrial Internet of Things technologies such as "Big Data+Cloud Computing+Artificial Intelligence", and are efficiently connected with the customer’s STTS, OCMS, MES, ERP and other systems. The intelligent, interconnected and ecologically integrated new manufacturing technology meets the large-scale multi-product, customized and green production methods of enterprises, enabling enterprises to quickly respond to market demand and win a broad market.

Project value

Improve storage

After the original ground pile mode was adjusted to elevated warehouse, the storage capacity was increased by 3 times.

Solve the problem of tight delivery

Through the global application of intelligent equipment and system, the uncertainty of manual storage, handling and distribution is avoided, and the whole process is unmanned, which shortens the product production cycle and improves the product delivery efficiency.

Improve management level

Relying on the internet of things technology, integrating digital twin design, intelligent management and information interconnection are realized in the factory area, which is to promote the division.

Learn management and provide digital basis.

Reduce cost and increase efficiency

Through the comprehensive collection and in-depth analysis of the data of "man, machine, material, method, environment and measurement", the effective connection among the warehouse, purchasing end, client end and production end can be achieved, and the accuracy and efficiency of production execution can be enhanced; Reduce material waste and operating cost. The creation of smart factories will help enterprises to produce continuously for 24 hours.

This smart factory project focuses on production scheduling, supply chain coordination and visual monitoring. Intelligent management and control, safety and environmental protection, intelligent warehousing and intelligent distribution are integrated. The smooth implementation of the project will accelerate the pace of intelligent upgrading of the enterprise and provide a set of smart logistics transformation model for the wine industry!

Zhu Guang, CEO of Du Xiaoman： Actively deploy the application of large model technology in the financial field

On March 9 th, Zhu Guang, CEO of Du Xiaoman, said in a signed article that Du Xiaoman has been actively deployed in exploring the application of large model technology in the financial industry.

Large models can be divided into comprehensible large models and generative large models. In Zhu Guang’s view, the comprehensible big model raises the decision-making ability of customer management and risk control to a new height and reduces financial risks; Generative AI will focus on customers, reshape the customer service process and experience, and become an "always-on super financial consultant" and an "all-round business assistant". This means that big model technology is defining a new entrance to the industry.

It is reported that Du Xiaoman has developed a series of applications based on large models relying on Baidu artificial intelligence technology. Taking risk management as an example, Du Xiaoman has applied LLM, a large language model, to the interpretation of Internet text data and credit report. Through the pre-training model constructed with text data and AI algorithm, he can interpret the credit report into 400,000-dimensional risk variables and better identify the credit risk of small and micro business owners. With the iteration of the model, the potential of the large model in intelligent risk control will be further released.

The self-developed voice robot can realize multiple rounds of complex conversations, with a non-inductive rate of 99%, that is, 99% of users don’t know that it is actually a robot talking to themselves, which can replace more than 60% repetitive work in credit business, and is widely used in marketing and collection work of many financial institutions, which greatly reduces labor costs and also has certain emotional recognition ability.

ChatGPT’s semantic understanding ability is also the key investment direction of Du Xiaoman in the field of natural language processing (NLP). In 2021, in the document sorting task of MS MARCO competition held by Microsoft, the NLP team ranked first and set a new record; The XuanYuan pre-training model developed by the team also ranks first in the CLUE classification task.

Baidu’s generative dialogue product "Wen Xin Yi Yan" (English name: ERNIE Bot) based on Wen Xin big model technology opened up ecological cooperation, and Du Xiaoman became the first financial technology company to access it. Next, based on the large-scale model technology base of Wenxin, combined with the financial industry knowledge and data accumulated in Xiaoman’s business scenario, Xiaoman will create a brand-new intelligent customer service, intelligent risk control and intelligent interactive service.

Zhu Guang said that the big model technology like GPT is the core topic of the next generation AI technology contest, which will have a profound impact on the intelligence level and digitization level of the financial industry. Financial technology companies should seize the opportunity window of this technological change, actively explore the application and development of large-scale model technology, and help the financial industry realize the leap from digitalization to intelligence.

What do you want to say about the scene where bloggers use low code to restore the name of wandering earth？

Recently, a blogger used the low-code tools of an office software platform to restore the video of the classic scene of the movie Wandering Earth 2, which became popular on the Internet.

It is understood that the blogger not only optimizes the efficiency of manually detonating a nuclear bomb in the movie through low-code tools, but also builds a form based on the existing visual template to highly restore the scenes with a sense of future technology such as the underground city lottery system and 3D large-screen display in the movie. Many netizens said that they were shocked by the power of technology!

The latest Premier League standings： Manchester City is 2 points behind Arsenal in winning, and Liverpool still ranks fifth in losing!

Last night and this morning, the Premier League was the firstTwosevenRound of fierce battles,Manchester city away1-0Beat Crystal Palace and fall behind Arsenal.TwoPoints, Harland scored the only goal;Chelsea awaythree-1Beat leicester city and win various events.3 consecutive victories; Tottenham home 3-1Beat Nottingham Forest and stay first in the league.4, Kane scored twice and Sun Xingyu broke the door; Liverpool away game0-1Lost to Bournemouth, opened the gap by Tottenham.

Chelsea awaythree-1Beat leicester city and win various events.Three consecutive victories. First place in the first halfoneMinutes later, coulibaly made a cross and Chilwell scored a low shot. sequencethreenineMinutes, Dhaka shot outside the restricted area to break the goal to equalize the score; At halftime, Enzo picked the ball and Havertz scored an offside shot to help Chelsea take the lead again. sequenceseveneightMinutes later, Moudrek headed the ferry, and Kovacic volleyed to seal the victory; sequenceeightsevenMinutes later, the home team, Fass, got the first place.Two yellow cards were sent off, and leicester city was powerless.

Hotspur home courtthree-1Beat Nottingham Forest and stay first in the league.Four people. sequenceNineteenMinutes later, Poirot made a cross from the right and Kane headed the goal. sequencethreefourMinutes later, Richarlyson made a penalty, and Kane scored twice. sequencesixTwoMinutes later, Richarlyson made a cross from the right, and Sun Xingyu scored a low goal after stopping the ball, which sealed the victory. sequenceeightoneMinutes later, the visiting team took a corner kick, and voller headed the goal and pulled back a point; Then neither side made any achievements, and Tottenham won at home.3 points, stop the decline.

In other competitions,Manchester city away1-0Beat Crystal Palace and fall behind Arsenal in the first round.TwoPoints, Harland some goals;Liverpool away gameZero-1Billing scored the only goal after losing to Bournemouth, and Bournemouth left the relegation zone after winning; Everton home courtone-0Beat brentford and end your opponent.oneTwoUnbeatable; Leeds United home courtTwo-2In the draw with Brighton, Japanese star Miyuki sent an assist.

Players’ ability is not bad, and the men’s football team will have a future by solving three problems： good selection, training and eliminating interference.

What is the ability of national football players?

As long as it is 99% of the professional team, it can completely explode the amateur team. This is true even for retired people or teenagers, without exception.

This shows that our players, no matter how old they are, have a very good command of basic skills.

But it is such outstanding players, after layers of selection, and then form national teams of all ages. Does it become a poor basic skill? This is impossible, so don’t say that the player’s basic skills are poor in the future.

The national football team plays against opponents, whether it is against the Philippines or against the South Korean team. Always moving out of shape, to put it bluntly, it is nervous. Only according to the strength of the opponent, the degree of tension is different. But in a word, it’s just nervousness. This is to make the fans look as if they can’t catch the ball, pass the ball incorrectly, and panic.

What does the tension come from? First, I don’t know my opponent, second, I don’t have confidence in my ability, and third, I have pressure on my grades.

Undoubtedly, as long as they are selected for the national team, they all want to play well. There is no problem with the attitude of the game.

Having said that, our national team men’s soccer players are very reliable in passing and catching the ball and shooting in the face of unprofessional confrontation. But as long as it is in the face of professional confrontation, especially when the strength is stronger than oneself, the body is higher than oneself, the frequency is faster than oneself, and the tenacity is stronger than oneself. That is an inevitable defeat.

Some are innate, but some need to be achieved through boring and repeated training. We are not good at confrontation, so we need to reflect. Is our training intensity in place? Training for war means that the intensity of training must be large, but it should be reasonable, and the players should not be injured because of the intensity.

Only by eating hard can you have confidence in the game. Because you have seen these things in training, you can easily cope with them. This is the purpose and function of training. Training that fails to achieve this effect is ineffective and formalistic.

The basic quality of our players is really not bad. Look at the young players in the ordinary amateur stadium and football school. They all play in a good way. It is said that our football population is small, but it is actually quite a lot, and it is for all ages.

The reason why we are now looking at our men’s football team is that outstanding talents cannot be selected, the training is unscientific and not serious, and there are too many interference factors. If these three problems are thoroughly solved, it will be difficult for us men’s soccer team to be excellent.

Now it’s time to remove the interference factors. Our men’s soccer team is much more normal, even more than normal. For example, if the U20 men’s soccer team holds the U20 Asian Cup in 2022 and faces the same opponents, it is estimated that it is impossible for the group to qualify. Our men’s soccer team still has a future, and we also have good prospects. What we need to do is to make our football soil suitable for them to thrive. Do not pull out the seedlings and encourage them, nor deliberately suppress them.

Artificial intelligence technology is changing the development of media industry and promoting the re-evaluation of industry value.

The generative AI application represented by ChatGPT has rapidly broken down, which has attracted the attention of media and Internet related application fields. The main application directions of generative AI are 2B and 2C. 2b: 1) Embedding enterprise workflow to assist production and realize cost reduction and efficiency increase; 2) Marketing link, assisting the generation of marketing ideas or realizing intelligent customer service; 2C1) As a productivity tool, it is applied to text generation, language learning and other fields; 2) Service scenarios such as education, entertainment, companionship and medical care.

Games: We believe that short-term generative AI can improve the production efficiency of text, image, audio, video, 3D model, code and other game content, break the production capacity constraints and creative landing, improve the ceiling of human efficiency, shorten the game production cycle and reduce the production cost. Long-term optimistic about the high degree of freedom of generative AI or innovative gameplay.

Film and television: the comprehensive text/audio/video in the film and television industry is a high-quality landing scene for generating AI. Generative AI is based on a large number of data and corpus, which will improve the production efficiency of scripts, music and other content and provide more creativity.

Advertising: efficiently generate advertising materials and fully empower industry participants: 1) platform side: the advertiser’s budget is based on user traffic and delivery efficiency, and the platform may benefit from the combination of AI. 2) Service provider: Based on the long-term accumulated customer cooperation relationship and content data, existing service providers develop small models of marketing industry on the basis of large models, which is a more effective industry solution.

Education: Education is an application scenario officially recommended by OpenAI, and it has application prospects in assisted learning. In terms of industrial impact, K12 takes the lead in hardware, and enterprises with deep accumulation of vertical data /AI technology are expected to benefit; At the same time, the development of artificial intelligence industry will drive employment demand, and related training enterprises such as Chinese public education are also expected to benefit.

Virtual people: 1)AI digital employees are expected to become an important "labor force" in the AI ? ? era, reducing costs and increasing efficiency for enterprises. 2)AI-driven virtual human interaction will be more simulated and intelligent. Virtual idols, virtual KOL, and virtual pets are expected to expand to more application scenarios such as live e-commerce, film and television variety, and chat companionship.

E-commerce: The e-commerce industry has accumulated a lot of data and algorithms over the years. We believe that the application of artificial intelligence in e-commerce can: 1) enhance the consumer experience and let users find the goods they need more accurately; 2) to improve the return on investment of advertisers, advertisers can use AI to generate marketing copy and push products to consumers more accurately; 3) Improve the platform efficiency. E-commerce platform uses artificial intelligence to improve algorithms, optimize operations, reduce costs and improve efficiency.

The application of generative artificial intelligence will promote content production to reduce costs and increase efficiency, bring more free interactive experiences and business scenarios, and promote the revaluation of the media industry. In terms of investment targets, at the current time, it is recommended to pay attention to companies that are expected to take the lead or have first-Mover advantages in specific scenarios:

1) Pay attention to companies that have cooperation or direct connection with overseas mature large-scale models and are expected to take the lead in realizing the scene: Kunlun Wanwei, Tomcat, Wanxing Technology, etc.

2) In the field of 2)2B, the game field recommends Sanqi Entertainment, Shadow Network, Gigabit, etc. The blue cursor is recommended in the marketing field, and it is recommended to pay attention to Leo shares, Tianyu data, a little world, etc. Virtual characters and virtual scenes: Tianyu data, cube data, world show, etc. Office and creative fields: Jinshan Office, Fuxin Software, Meitu, Dream World, etc. Financial field: flush; E-commerce field: Ji Hong, Guangyun Technology, etc.

3) The high-quality structured semantic database is expected to be revalued. Recommended attention: vision china, Chinese Online, etc.

4) Baidu and Alibaba are recommended in the technical field; It is recommended to pay attention to Haitian Ruisheng, Popular Technology, Iflytek, Tuosi, Inspur Information, Shuguang, Hongbo, etc. Us stocks recommend Microsoft and NVIDIA.

Waste equal opportunities to blame teammates! C Ronaldo scolded his teammates and kicked the water bottle with 4.4 points.

C Ronaldo complained to the coaching staff after losing the game.

C Ronaldo missed the opportunity

Cristiano ronaldo had a frustrating night after Riyadh was defeated by champion Vladimir Etihad 1-0. At the last moment of the game, Ronaldo missed the best opportunity of a perfect draw. Although Cristiano Ronaldo did not bring the winning tradition of Real Madrid to the Saudi League, he succeeded in bringing the bad temper of Real Madrid, Juventus and even Manchester United to Saudi Arabia, and once again became a castle for foreign fans to vomit wildly. .

C Ronaldo scored the second last point after the game, with only 4.4 points.

This is Ronaldo’s first defeat after joining the Saudi club. After the game, his score was only 4.4 points. Confucius, the penultimate player in the whole game, roared at his teammates.

Teammates comfort Ronaldo

Ronaldo, who is always too obsessed with goals, is furious. On the way to the end, he constantly complained to his teammates, kicked the water bottle on the sideline angrily, and even wanted to tear off the captain’s armband and throw it on the sideline. It is estimated that C Ronaldo restrained himself from throwing the captain’s armband when he noticed that the live camera was aimed at himself. Entering the player channel, the angry Cristiano Ronaldo even complained to the coaching staff.

The 38-year-old didn’t score in the last two games. When he rushed out of the stadium and down the player’s lane, he was obviously depressed when the final whistle sounded.

Ronaldo, who was unhappy after losing.

In a video that is now going viral on social media, the former Manchester United striker can be seen shaking his head in disappointment.

Although he was comforted by his teammates, Cristiano Ronaldo was obviously not satisfied with the result and continued to open his arms in frustration.

C Ronaldo kept shouting and complaining to his teammates.

When the captain of Riyadh Victory Team and his teammates slowly walked to the sideline, Cristiano Ronaldo quickened his pace and then lashed out at a pile of water bottles placed on the sideline.

After scoring eight goals in four appearances in February, all eyes were focused on Ronaldo, because there was a conflict between the two strong Saudi teams. But his efforts to integrate into the game failed to inspire his team to win.

Before the half-time, Cristiano Ronaldo had a chance to shoot and was saved by Etihad goalkeeper Marcelo Groche, but the Portuguese star was still offside.

Foreign fans put C Ronaldo and baby orangutans together.

Foreign fans mercilessly laughed at C Ronaldo, and foreign fans began to vomit Confucius’ anger crazily. This scene has been repeated countless times in Cristiano Ronaldo’s early career, and now it is repeated in Saudi Arabia, causing heated discussion. Just like C Ronaldo’s celebration, it seems to be his symbolic way to vent his anger. Many fans believe that Ronaldo’s indomitable spirit has made him what he is today. This is his true nature. But is it right to complain about your teammates when you lose? This is worth pondering. It is said that Riyadh spends 200 million euros a year to attract Ronaldo to join the Saudi alliance. The purpose is not to make Cristiano Ronaldo complain, but to hope that he can lead the team by going up one flight of stairs. What do you think?