At the beginning of the Lunar New Year, the Spring Festival holiday has just ended. When people are still in the state of adjusting the holiday syndrome, Baidu founder, chairman and CEO Li Yanhong has quickly invested in the new year's work.
Yesterday, the leader of the domestic Internet giant posted an internal speech entitled "Welcome to the New Era". Li Yanhong mentioned in the letter content distribution, connection services, financial innovation and artificial intelligence, but it is more worthwhile. It is noted that he also reflected and looked forward to internal organization, culture and ethos in his internal speech.
From January 17th, Lu Qi announced that he had joined Baidu. Later, Mr. Li Yanhong’s wife Ma Dongmin also returned to Baidu to become a special assistant to the CEO. He joined the director’s association and was responsible for Baidu’s investment, manpower and finance. These two major personnel adjustments have allowed Baidu to continue the "top-up" physique in 2017, and fully reflect the urgency of Baidu's change.
Lu Qilai, Ma Dongmin also came, and in the "dark" 2016, how did Li Yanhong, who has passed the birth year, continue to lead Baidu? In this internal speech of the New Year, Li Yanhong answered this question of the outside world.
Business value distribution
One point worthy of attention is that in the internal speech, the first business mentioned by Li Yanhong is “content distributionâ€, and the last mentioned business is “artificial intelligenceâ€, which is slightly different from the practice of pushing artificial intelligence last year. .
After Baidu World Congress announced last year that "artificial intelligence is the core of Baidu's core", Baidu's investment in artificial intelligence is indeed increasing, but for the current Baidu, a real problem is: artificial intelligence strategy can save Baidu's stock price?
Artificial intelligence is a big trend, but it is relatively vague to produce actual income and have a real impact on the company's stock price and market value. The confidence in Baidu inside and outside the tree has boosted Baidu’s performance in the capital market, and it is precisely what Baidu is most in need of now. Artificial intelligence may not solve this problem in the short term.
The first mention of "content distribution" in this year's internal speech may be due to such considerations. From the initial test of water last year, Li Yanhong clearly stated that Baidu will obviously put more effort into content distribution in 2017. For today's headlines, this means another heavyweight has joined the arena.
In addition to content distribution and content intelligence, Li Yanhong also mentioned connectivity and financial services in his internal speech.
However, compared with the view on specific business, Li Yanhong's explanation of internal culture, culture and organization is more interesting.
Internally promote management metabolism
In the internal speech, Li Yanhong mentioned that “the most important thing is that the company has a good atmosphere. In the past year, everyone felt that the anti-corruption efforts are relatively large, which is consistent with this concept. On this battlefield, we must always work hard. If we want everyone to feel fair, we must fight those who are ignorant of the system. We are moving in a more positive direction, and this company will become more fair and fairer for everyone. a company."
In addition, in the internal speech, Li Yanhong also said that he should not pay attention to seniority; to eliminate products that are not competitive in the market; management must also have metabolism, and those who can, can not. It can be felt that this is a tough internal speech, and once these statements are truly implemented, they will have a big impact on Baidu.
If it is in the crisis in 2016, Baidu launched a series of new initiatives such as setting up investment funds and turning to artificial intelligence, which is trying to change. From this year's internal speech, we can feel that there are two Lu Qi and Ma Dongmin. After the famous general, Baidu has already determined the big strategy for how to go next.
Among them, the change within Baidu will be the key and difficulty for Baidu to reverse the situation. It is foreseeable that for Baidu, 2017 will still not be a quiet year, and whether Baidu can stage a wonderful turnaround is also worthy of attention.
The following is the full text of Li Yanhong's new internal speech:
"Welcome to a new era - content distribution, connectivity services, financial innovation, artificial intelligence"
First of all, it is a new era of content distribution.
In essence, Baidu is still doing the distribution of content.
What should we distribute? In the early days, Internet content was based on words. As the bandwidth environment gets better and better, people's creativity is getting richer and richer, and they have begun to have pictures. To this day, it is actually more than just a picture. There is a new picture-related form called the Atlas which is also very popular and is very suitable for content forms that are spread on the Internet.
In addition to the pictures, there are videos. Today's video, I think it is very different from the past. The first is the rise of short video, the scenes it applies to and the reach of the crowd are very different. We are at the center of content distribution like Baidu, and we must be able to perceive changes in the content distribution environment earlier than others.
Encyclopedia is a very rigorous thing, but it has long been a second to understand video, and it is placed at the top of the entry, so their sensitivity to the environment in which this content is distributed is high enough. So this is a way of thinking that we must maintain when we welcome the new era. To be sensitive to new things, something will affect you.
The whole world has been changing. From the PC Internet to the mobile Internet, there are many super apps on the mobile Internet, and more and more content is encapsulated in WeChat and Weibo. How to use Baidu's platform to let content come back, so that our users can easily access it, and complete the mission that we let people get the most convenient and equal information to find the desired? This is something that we need to seriously consider and prepare for and struggle for in the new era.
In the past year, I still have a little deep feeling. In the environment of social media and self-media, people often talk about feelings more and want to spread what they are willing to believe. What is the truth? Important. This is a big challenge for a company with a search engine at its core. In this environment, how we deal with it is also a big challenge. Of course, the challenge also means opportunity. I also hope that everyone will be more proactive in thinking about this issue and finding new opportunities that belong to us.
Another content I think is data, and data is new content. After the advent of the mobile Internet era, how can data and applications be combined to present some more valuable things, how can we turn it into new content on our Baidu platform, this is the next step we should focus on.
These structured data, after the completion of these things in the future, on the one hand to provide more valuable content to our users, on the other hand is a prerequisite for our future AI. Because AI's technology requires a lot of data support, the more valuable and orderly data, the better your final result will be. So that we have a technical big cow to say a word to me: he said that data kills all algorithms.
This has been reflected in many existing products, such as Baidu's voice search, you can see that the accuracy of recognition has been very high. But when we say, for example, the universal input method to identify these voices, we may not be as good as some other competitors on the market. why? Because we have more data than anyone in this search scene, and this kind of data is very very characteristic and valuable, it is not available to others.
When the user is searching, he actually has a clear need in his mind. The whole process is a process of finding answers, from the initial expression of demand, to the final answer, especially in the mobile Internet era. In such a closed app, we can track every step of his. This gives us enough training data so we can have a high recognition rate. Not only do we have a high rate of speech recognition, but the entire process allows us to build the best and richest knowledge base. We know what it is like from demand to outcome. These things are very valuable to us.
But in other scenes, sometimes even if your technique is particularly good, you may not be able to compete for others. For example, if you take a product to identify it, the result of Taobao's identification is more accurate than the result of our current photo search. Because a large number of commodity stores are in his head, the merchants have marked the data. So what is this revelation for us? In addition to the large number of rich queries we have already had to the final user behavior data, we should also actively look outside to find relevant data that is valuable to us. Let them go to Baidu's platform, we use this data to polish our algorithms and make the best user experience and products and services.
Knowledge maps (including demand maps, user portraits, etc.) are all very basic components of Baidu's entire artificial intelligence and are our strengths relative to any other company. Moreover, we have attached great importance to it from the very beginning. In the future, we will be more consciously continually enriched and constantly polished according to our needs, scenes and products. We will continue to make this thing the ultimate and achieve the best in the world.
In a sense, our future search engine from the index keyword may gradually transition to the engine of index knowledge, which matches the expression of the surface text and the query, which is the thing of the previous era. The next generation is a match between the real needs of the user and the knowledge we have accumulated.
There is also a feed stream product that we take very seriously now. In the past, the traditional search was that people were looking for information, and now they have to evolve to find information. When people do not actively express his information, we can already guess that this is what he likes. This is the information he needs. How to distribute it to those who need and be interested is very convenient and efficient. This is also a new opportunity and challenge in the form of content distribution. Because we have a strong knowledge map and user portraits, we have many years of artificial intelligence technology accumulation, a lot of user behavior and data, so it is very advantageous in this respect.
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