One, Baidu
Baidu itself is a technology-driven company, and its success has one feature that is focused on technology. Different from Tencent, Baidu is because of its technological advantages to complement products, such as Baidu Post Bar, Baidu Encyclopedia, Baidu Know, Baidu Index, etc., because Baidu has search traffic, according to their own development needs to join the product And it was also very successful.
Therefore, Baidu’s genes must first be deployed with technological advantages, and then go to transform these technologies into commercial products.
1, search engine technology
Search engine technology is the core of Baidu's products. In order to optimize user search results, Baidu search engines continue to iteratively update. Let's look at the anti-cheating updates Baidu officially made on search engines, starting only in 2012.
1) In May 2012, Baidu released Web2.0 Anti-Spam Raiders, and in the same month Baidu banned the publication of low-quality news sites.
2) In October 2012, Baidu’s algorithm for combating cheats in the hyper-chain was upgraded. The following month it announced that it would continue to update the algorithm to crack down on the buying and selling link of the trading platform.
3) In February 2013, Baidu announced the official launch of the "Green Lotus Algorithm 1.0" to continue to punish anti-cheating websites.
4) In May 2013, Baidu's "Origin of Origin Algorithms" went online to strengthen the recognition of original articles.
5) In May 2013, Baidu's "Pomegranate Algorithm" was launched to punish waste-quality low-quality popover websites.
6) In July 2013, Baidu's "Green Lotus Algorithm 2.0" was updated to increase the intensity of filtering out soft papers.
7) In December 2013, Baidu announced the phase-out of “unused value†pc pages, and eliminated the elimination of mobile sites.
8) In 2014, it was observed that the website ranking changed from the previous week's adjustment to several adjustments in a day, and the speed of change was unprecedented.
From the above we can see that Baidu is first class in the speed of algorithm update and has never given up on the search engine algorithm update. In the mobile era, it will also bring the technology all the way to a more mobile-friendly model.
2, big data products
Baidu's big data engine technology is developed along with search engine technology. Baidu transforms data into products through big data mining.
1) Big Data Marketing Products: Baidu Sinan (Marketing requirements for big-data mining media, public opinion, people, and brands in four dimensions), Baidu actuarial (advertising strategy), Baidu spokesperson (using big data analysis to find suitable brand spokespersons) ), Baidu lyrics (monitoring brand reputation, is currently not comprehensive)
2) Forecast products: forecast of economic index, forecast of sights, prediction of diseases, prediction of cities, forecast of European events, prediction of World Cup, prediction of college entrance examination, etc. These products are currently on the line.
3) Application-level products: Baidu Medical Brain, combining data from the China Centers for Disease Control and its own data for big data analysis and decision making, is currently in practice.
Followed by big data statistics, recommendations, Baidu Index and other products. Baidu's investment in the big data engine is very expensive. Lei Jun said that if millet produces big data in the future can not produce the economic value of millet is over, it is clear that Baidu's understanding of this sentence is more profound, and has begun to lay out big data commercialize.
3, Deep Learning Institute
In May 2014, Wu Enda, a top level expert on artificial intelligence, announced that he had joined Baidu to contribute to Baidu's “deep learning†program. I think Baidu's most important research areas in artificial intelligence are the following two:
1) Deep learning. The so-called deep learning is a branch of machine learning. Its main feature is to obtain the representation of different levels of abstraction of raw data through multi-level learning, thereby improving the accuracy of tasks such as classification and prediction. This is Baidu's current technology.
2) Image recognition. Bai Yu, vice president of the Institute of Deep Learning, said that if one person chooses between blindness and deafness, the statistics indicate that most people are willing to be deaf and not willing to be blind. Therefore, the future image recognition technology is the trend of the times. , and Baidu's image recognition is one of Baidu's biggest challenges in the future.
Deep learning and image recognition are the biggest challenges for Baidu. In addition, Baidu has also been involved in top areas such as robotics, human-computer interaction, 3D vision, and heterogeneous computing. In addition, in order to attract more talents in the field of artificial intelligence, Baidu launched the "Marshal Plan", as long as people below the age of 30 have outstanding ability in the field of artificial intelligence can join, have a handsome salary and work in Silicon Valley and Baidu internal business Excellent treatment for hatching.
Second, Tencent
Tencent controls QQ and WeChat's hundreds of millions of users, and it is naturally not inferior to the technical strength in the field of instant messaging. However, it lacks sufficient bright spots in the layout of future technologies. This is related to Tencent's own genes. Tencent is a product-oriented company. All technologies are almost based on product development. Different from Baidu, Tencent is first product and then technology.
1, instant messaging related technologies
Instant messaging is the root of Tencent, and there must be a top technology for instant messaging. We look back at the history of Tencent's development in the past. In Wu Xiaobo's Tencent Biography, the development of early QQ is likened to “a fairy that is starving to death and reincarnationâ€. As users grow too fast, the server is facing the collapse limit again and again. The following quotes Tencent Biography.
Compared with their US counterparts, Chinese Internet companies in the initial period have a lot of differences in the use of servers: In the United States, labor is expensive and the servers are very cheap. Therefore, when programmers do architecture, they do not consider server optimization. The capacity is not enough. Adding a few units is enough. However, in China, on the contrary, servers are very expensive and labor is very cheap. In order to increase the system load, programmers will put a great deal of effort into server optimization, including the ingenuity of the algorithm, reducing the consumption of the mainboard (CPU), and running some of them. Put into a lower level database and so on. For Zhang Zhidong, there is almost no place where these technologies can be used for learning and learning because Americans do not need to do so. Even domestic financial service providers and financial service providers do not need to do so. It is precisely in this process that Tencent's programmers gradually formed their own unique core capabilities.
Need to serve a large number of users under such harsh server conditions, it can be imagined that the instant messaging technology born out of such a harsh environment must be excellent.
2, Soso
Tencent’s biggest failure in history is Soso. Tencent released Soso in 2006 and used a large amount of Tencent resources to divert the search product. QQ chat implanted in Soso, QQ space can only use Soso exclusive search, Discuz! use Soso as the default engine, but in the end because of search results, Tencent sentenced to death, followed by Tencent strategic investment Sogou, Sogou replace search The strategic position of search has been highly integrated with WeChat search in Sogou search.
Tencent suffered a catastrophic defeat of RMB 2 billion on Soso. Looking back at Tencent’s defeat, Wu Jun, who left Soso’s in 2012, reconsidered that a company’s genes determine whether a company is suitable for doing searches. Tencent’s failure is because There is no search for genes, just as Facebook shields Google from searching for its own search, and it will not affect Google as much.
3. Guangdiantong and Tencent Cloud
1) Wide-point access
Tencent's big data products are currently the only ones widely known for their wide-spread use. They help merchants to accurately place ads for QQ users. The open channels are "QQ Space," "QQPC Client," "QQ Music," and "Friend Network." "Mobile QQ Space." The technical content is not high compared to Baidu and Ali. This may be related to Tencent's genes. Baidu and Ali’s profitability accounted for a large proportion of advertising. Tencent’s profit basically depends on games and value-added services. There is no big investment in big data ads like Baidu and Ali.
2) Tencent Cloud
Tencent Cloud Server has actually been on the low profile for a long time. It was only until recently that it officially became a Tencent promotion project. The purpose of Tencent Cloud is to provide server support for game developers, allowing developers to better connect with Tencent's open platform and serve its ecosystem.
Third, Alibaba
Due to the enormous amount of data the vast number of users traded on Taobao and Alibaba, Ali naturally has to deal with this data with value. It can be said that Alibaba's driving force for technology investment lies in the mining of transaction data. By constantly optimizing the techniques of excavation, Ali can obtain greater benefits. This is also the value of Alibaba's investment in technology. Ma Yun said that because he does not understand technology, he admires the technicians and lets the technicians do it. The following is the technical performance of Ali.
1, Ali cloud
Aliyun has brought convenience to entrepreneurs in China. At present, many small startup companies will choose Alibaba Cloud as their own server.
Alibaba Cloud was born in 2009. In 2011, it began working with Wanwang to deploy an elastic cloud service business, subverting the traditional IDC industry at one stroke. In January 2013, Ali announced the formal merger of Aliyun and Wanwang to lay the foundation for its independent development. In April 2013, Yahoo Mail announced the suspension of service, and Alibaba Cloud Mail announced its takeover. In February 2014, Neusoft Group announced its alliance with Alibaba Cloud, which surpassed IBM, Oracle, and other foreign manufacturers to become the largest provider of IT solutions and services in China.
At present, Alibaba Cloud can provide comprehensive developer services, mainly including elastic cloud service ESC, relational database RDS, and open cloud storage OSS. In addition, it also provides open cache ODS, cloud shield, cloud monitoring, load balancing SLB, content distribution CDN, and structure. Data service OTS, open data processing service ODPS, etc.
Apart from benefiting developers, Alibaba Cloud has built a strong cloud computing system for Ali. For example, on this year’s Double 11th, the ability to create orders up to 80,000 pens per second, Alipay’s payment peak exceeded 2.85 million pens per minute. At this time, Alibaba Cloud not only needs to guarantee the security of each transaction, but also needs to ensure that the server does not crash. This requires strong technical support from Alibaba Cloud.
2, big data products
For Ali, its big data is different from Baidu and Tencent. Baidu and Tencent's big data is like sand gold rushing. Ali is directly facing a big data gold mine. The results of each mining are better than Baidu's and Baidu's. Tencent's higher business value. Ali is in an open mind and shares some of his own data with sellers to make sellers make better decisions. This is the same as Baidu's keyword search index opening.
Simply put, under Ali's four data products:
1) Quan Heng Heng helps Taobao sellers analyze their own traffic.
2) The data Rubik's Cube disclosed Taobao’s entire industry data to sellers for payment, allowing sellers to have a better grasp of the entire industry and improve their own strength.
3) The latest on-line catering room uses data to provide merchants with more comprehensive solutions.
4) The recently launched ODPS, an open data processing service, helps enterprises to perform big data calculations. It processes TB/PB-level mass data in clusters and is suitable for data statistics and analysis that exceed single-server or single RDS instance processing capabilities.
From what we have seen, Ali's big data products have high commercial value, which is related to their data sources.
3, Taobao open platform
Ma Yun said that Ali is not an electricity supplier but helps others to do electricity suppliers. At this point, Ali did indeed do the same. Taobao open platform provides developers with powerful interfaces, such as user API, commodity API, evaluation API, logistics API, store API, trading API, Want Want API, Taobao Ke API.
Using these open interfaces from Ali, developers have two profit models. The first is to develop a third-party management tool for sellers, such as a warehouse management system. The baby automatically puts on the automatic price reduction function, and then puts the products it develops on Taobao third-party platform for sale to make a profit. Second, it is possible to use these interfaces to develop a series of shopping guides for buyers to bring transactions to the sellers and bring benefits to them. The “beautyâ€, “mushroom street†and “rebate net†of the year are all Rely on Taobao to open bigger companies. In the era of mobile, Taobao's open platform has enabled mobile internet companies such as “pocket shoppingâ€, and “pocket shopping†has also recently received 350 million yuan in financing from Tencent. Taobao’s open platform has contributed to this.
Since BATs have their own strengths, they have different technical inputs. Baidu is a technology-driven company, so the investment in technology can be described as a cost. Ali has a large amount of user transaction data, sitting on big gold data and investing more in related fields. Tencent is a product-driven company. After experiencing the disastrous defeat of Soso, Tencent has not seen much action in investing in future technologies.
In short, the technical needs of the three companies are all required, Baidu invested a long time, Ali more current, Tencent more grounded gas.
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